Pub Date : 2023-01-01DOI: 10.47974/cjsim-2022-0051
Sarita Gulati, A. Sinhababu, Prof. Rupak Chakravarty
Text mining has become one of the most common methods used to analyze natural language documents today. In this study, 81 open access journal articles on the topic of “smart libraries” from Google Scholar were analyzed using text mining techniques. Articles were chosen based on the criterion that they had to be open access and have smart libraries as their main component. To analyze the articles and discover interesting text patterns within the retrieved articles, Voyant Tool, an open-source text-mining tool, was used. It assists in finding Corpus Collocates that are closely related in texts as well as identifying n-grams in the field of smart libraries (sequences of words occurring together with the context that surrounds them). Results showed that the most frequently used words in the corpus were smart (3533); information (2253), data (1753); technology (1382); service (1327). Furthermore, findings showed that the longest document had 14210 words and the shortest had 1012. Overall, the study findings will help in understand the smart libraries ecosystem with deeper insight.
{"title":"Understanding the research landscape of smart libraries using text mining and data visualization : A use case of Voyant Tool","authors":"Sarita Gulati, A. Sinhababu, Prof. Rupak Chakravarty","doi":"10.47974/cjsim-2022-0051","DOIUrl":"https://doi.org/10.47974/cjsim-2022-0051","url":null,"abstract":"Text mining has become one of the most common methods used to analyze natural language documents today. In this study, 81 open access journal articles on the topic of “smart libraries” from Google Scholar were analyzed using text mining techniques. Articles were chosen based on the criterion that they had to be open access and have smart libraries as their main component. To analyze the articles and discover interesting text patterns within the retrieved articles, Voyant Tool, an open-source text-mining tool, was used. It assists in finding Corpus Collocates that are closely related in texts as well as identifying n-grams in the field of smart libraries (sequences of words occurring together with the context that surrounds them). Results showed that the most frequently used words in the corpus were smart (3533); information (2253), data (1753); technology (1382); service (1327). Furthermore, findings showed that the longest document had 14210 words and the shortest had 1012. Overall, the study findings will help in understand the smart libraries ecosystem with deeper insight.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70464594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/09737766.2022.2121668
A. Ghobadi
Scientists have long discussed scientometrics indices, and various people have tried to introduce an ideal index to evaluate scientists throughout history. Among the indices introduced, the h&g indices are the most famous but with many problems. When the author of this article tried to create a website to introduce the best faculty members in orthodontics worldwide, he realized that none of the indices introduced so far could properly rank these scientists, so he introduced a new index. The GH-index, named after the initial letters of the Ghobadi surname, has nothing to do with h&g indices and results from a year-and-a-half study of more than 3,600 faculty members in orthodontics worldwide. This index, whose criteria are based on the journal’s prestige, each author’s contribution, and citation count commensurate with the author’s position and field of research, can be a good alternative to current scientometrics indices.
{"title":"GH-index: A new index for the assessment of scientists","authors":"A. Ghobadi","doi":"10.1080/09737766.2022.2121668","DOIUrl":"https://doi.org/10.1080/09737766.2022.2121668","url":null,"abstract":"Scientists have long discussed scientometrics indices, and various people have tried to introduce an ideal index to evaluate scientists throughout history. Among the indices introduced, the h&g indices are the most famous but with many problems. When the author of this article tried to create a website to introduce the best faculty members in orthodontics worldwide, he realized that none of the indices introduced so far could properly rank these scientists, so he introduced a new index. The GH-index, named after the initial letters of the Ghobadi surname, has nothing to do with h&g indices and results from a year-and-a-half study of more than 3,600 faculty members in orthodontics worldwide. This index, whose criteria are based on the journal’s prestige, each author’s contribution, and citation count commensurate with the author’s position and field of research, can be a good alternative to current scientometrics indices.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"407 - 464"},"PeriodicalIF":1.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48206275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/09737766.2022.2106166
G. Csomós
The academic performance indicators of the Doctor of Science title, the highest and most prestigious qualification awarded by the Hungarian Academy of Sciences (HAS), are key in the national assessment system. The types of performance indicators, as well as their minimum values, are incorporated into the application requirements for academic promotions, scientific qualifications, and research scholarships. HAS has proposed a reform of these performance indicators, to align with the current national and global trends. The proposed modifications are generally based on arbitrary decisions and the consensus between academicians, namely, the representatives of the sections of HAS. This paper contains a bibliometric analysis of 25,000 publications produced between 2011 and 2020 by 683 researchers affiliated with HAS’s Section of Earth Sciences. The bibliometric data of the publications are processed by an integer and fractional counting, respectively. The main goal of the paper is to argue that discipline-specific co-authorship patterns should be accounted for in the assessment procedure. It is also shown that the homogenization of the performance indicators and the rigid use of the integer counting method favor hard natural science disciplines and put social science disciplines at a disadvantage. Finally, the paper describes some components of an alternative publishing strategy which would be most prudent for researchers, given the proposed assessment criteria.
{"title":"A critical review of the proposed academic performance indicators for the assessment of individual researchers in Hungary","authors":"G. Csomós","doi":"10.1080/09737766.2022.2106166","DOIUrl":"https://doi.org/10.1080/09737766.2022.2106166","url":null,"abstract":"The academic performance indicators of the Doctor of Science title, the highest and most prestigious qualification awarded by the Hungarian Academy of Sciences (HAS), are key in the national assessment system. The types of performance indicators, as well as their minimum values, are incorporated into the application requirements for academic promotions, scientific qualifications, and research scholarships. HAS has proposed a reform of these performance indicators, to align with the current national and global trends. The proposed modifications are generally based on arbitrary decisions and the consensus between academicians, namely, the representatives of the sections of HAS. This paper contains a bibliometric analysis of 25,000 publications produced between 2011 and 2020 by 683 researchers affiliated with HAS’s Section of Earth Sciences. The bibliometric data of the publications are processed by an integer and fractional counting, respectively. The main goal of the paper is to argue that discipline-specific co-authorship patterns should be accounted for in the assessment procedure. It is also shown that the homogenization of the performance indicators and the rigid use of the integer counting method favor hard natural science disciplines and put social science disciplines at a disadvantage. Finally, the paper describes some components of an alternative publishing strategy which would be most prudent for researchers, given the proposed assessment criteria.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"331 - 352"},"PeriodicalIF":1.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42880631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/09737766.2022.2112925
Jagdish G. Sharma, N. Singh
The contagious disease “Covid-19” pandemic at the end of 2019 has affected the world. The clinicians and researchers are engaged in the disease’s control, treatment, and care. In the early phase of the outbreak, the alternative medicine system attracted attention as not much knowledge and remedies were available for the disease. Concurrently, vaccine development research was initiated and is still ongoing. The PubMed public domain database specifically devoted to the health science system, along with the iCite database, is used to undertake metric analysis on the above two subject areas. Bibexcel and VOSviewer software are used for the bibliometric analysis of parameters such as language-wise contribution, top journals, most prolific authors, countries, and coorganisations. It’s found that English as a language and the USA as a country are leading across both the subject areas. The inferential analysis reveals that the double-blind peer review system is having a higher positive impact while, among the publication types, observational studies and funded support research studies are significantly influential.
{"title":"A PubMed based bibliometric study on Covid-19 and SARS Corona Virus vaccine and alternative medicine-based research and development","authors":"Jagdish G. Sharma, N. Singh","doi":"10.1080/09737766.2022.2112925","DOIUrl":"https://doi.org/10.1080/09737766.2022.2112925","url":null,"abstract":"The contagious disease “Covid-19” pandemic at the end of 2019 has affected the world. The clinicians and researchers are engaged in the disease’s control, treatment, and care. In the early phase of the outbreak, the alternative medicine system attracted attention as not much knowledge and remedies were available for the disease. Concurrently, vaccine development research was initiated and is still ongoing. The PubMed public domain database specifically devoted to the health science system, along with the iCite database, is used to undertake metric analysis on the above two subject areas. Bibexcel and VOSviewer software are used for the bibliometric analysis of parameters such as language-wise contribution, top journals, most prolific authors, countries, and coorganisations. It’s found that English as a language and the USA as a country are leading across both the subject areas. The inferential analysis reveals that the double-blind peer review system is having a higher positive impact while, among the publication types, observational studies and funded support research studies are significantly influential.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"389 - 405"},"PeriodicalIF":1.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44938626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/09737766.2022.2117668
Hakan Özköse, Gamze Kömür
The concept of trade is constantly changing and getting stronger with innovations. Today, with these innovations, the concept of e-commerce comes to the fore and increases its popularity day by day. E-commerce is also known as electronic commerce or electronic marketing. E-commerce briefly means buying or selling products or services via the internet. In this way, small and medium enterprises (SMEs) can reach more consumers or customers. This causes the development of e-commerce to be even faster. In this study, 2798 academic publications about e-commerce were reviewed to define e-commerce trends, bibliographic couplings of authors, journals and countries, and most used terms in the field yearly. In this context, firstly, annual changes in the number of publications are given. Then, the change in research areas was examined on an annual basis and it was stated which areas came to the fore. Then, detailed analyzes (trends and bibliographic couplings) about authors, journals and countries were included. In the end, term extraction process was conducted on a yearly basis. Scientific mapping of the field, which was obtained by the term extraction process, is given and interpreted.
{"title":"Examination of e-commerce studies between 2016 and 2021 with science mapping and network analysis","authors":"Hakan Özköse, Gamze Kömür","doi":"10.1080/09737766.2022.2117668","DOIUrl":"https://doi.org/10.1080/09737766.2022.2117668","url":null,"abstract":"The concept of trade is constantly changing and getting stronger with innovations. Today, with these innovations, the concept of e-commerce comes to the fore and increases its popularity day by day. E-commerce is also known as electronic commerce or electronic marketing. E-commerce briefly means buying or selling products or services via the internet. In this way, small and medium enterprises (SMEs) can reach more consumers or customers. This causes the development of e-commerce to be even faster. In this study, 2798 academic publications about e-commerce were reviewed to define e-commerce trends, bibliographic couplings of authors, journals and countries, and most used terms in the field yearly. In this context, firstly, annual changes in the number of publications are given. Then, the change in research areas was examined on an annual basis and it was stated which areas came to the fore. Then, detailed analyzes (trends and bibliographic couplings) about authors, journals and countries were included. In the end, term extraction process was conducted on a yearly basis. Scientific mapping of the field, which was obtained by the term extraction process, is given and interpreted.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"477 - 507"},"PeriodicalIF":1.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47454227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/09737766.2022.2106164
H. Okagbue, J. A. Teixeira da Silva, T. Anake
UK-based Hindawi (now part of Wiley) is one of the larger open access (OA) publishers that levies article processing charges (APCs) for publication in its 220 OA journals. The APCs range between US$650 and US$2300, with a median of US$950. We assessed if there is a link between the APC of Hindawi journals and two metrics, Elsevier’s Scopus CiteScore, and Clarivate’s Journal Impact Factor (JIF). Whereas 163 journals have a CiteScore (median APC = US$1000), 71 have a JIF (median APC = US$1950), while others with neither a CiteScore nor a JIF (NCNJ) have a median APC of US$650. The APC of journals with a CiteScore differed significantly from those with a JIF. We found a significant positive correlation between CiteScore and AFPC (r = 0.223, p < 0.01), but a weak non-significant positive correlation between JIF and APC (r = 0.162, p = 0.177). The Kruskal Wallis test showed that the medians of three groups (CiteScore, JIT and NCNJ) differed significantly from each other at p < 0.05.
{"title":"Are indexing, metrics and the article processing charges (APC) of Hindawi open access journals linked?","authors":"H. Okagbue, J. A. Teixeira da Silva, T. Anake","doi":"10.1080/09737766.2022.2106164","DOIUrl":"https://doi.org/10.1080/09737766.2022.2106164","url":null,"abstract":"UK-based Hindawi (now part of Wiley) is one of the larger open access (OA) publishers that levies article processing charges (APCs) for publication in its 220 OA journals. The APCs range between US$650 and US$2300, with a median of US$950. We assessed if there is a link between the APC of Hindawi journals and two metrics, Elsevier’s Scopus CiteScore, and Clarivate’s Journal Impact Factor (JIF). Whereas 163 journals have a CiteScore (median APC = US$1000), 71 have a JIF (median APC = US$1950), while others with neither a CiteScore nor a JIF (NCNJ) have a median APC of US$650. The APC of journals with a CiteScore differed significantly from those with a JIF. We found a significant positive correlation between CiteScore and AFPC (r = 0.223, p < 0.01), but a weak non-significant positive correlation between JIF and APC (r = 0.162, p = 0.177). The Kruskal Wallis test showed that the medians of three groups (CiteScore, JIT and NCNJ) differed significantly from each other at p < 0.05.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"239 - 251"},"PeriodicalIF":1.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45004960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/09737766.2022.2097896
C. McManus, Abilio Afonso Baeta Neves
The objective of this paper was to determine what type of information is available for journal article production from different sources, especially for Brazilian researchers in the areas of humanities (H) and social sciences (SS), and Letters, Literature and Arts (LLA). This paper looks at the various dimensions of the SS, H, and LLA impact using data from four databases (InCites based on Web of Science/Carivate Analytics, SciVal based on Scopus/Elsevier, Scielo and Redalyc). The four databases show low overlap. A large proportion of Brazilian papers in Incites and Scival are published in a low percentage of journals in these databases, with a high percentage of journals having a few papers each. SS, H and LLA have fewer papers per journal, fewer authors per paper and LLA cite fewer papers than the other areas of knowledge. They also take longer to accumulate citations, and the behaviour of citations in Scielo differs from those in Incites and SciVal. The largest number of downloads of Brazilian papers from Redalyc is from the USA. Different databases show different citation patterns and impacts. The quantity and quality of production of Brazilian science in SSH areas are improving and can show high-impact research and prominence worldwide. Nevertheless, relevant themes for Brazil may not have the same importance internationally. Therefore, evaluation in these areas should not be limited to international databases. Recognising these differences does not imply negative conclusions regarding the international insertion of Brazilian human and social sciences.
本文的目的是确定从不同来源的期刊文章生产可获得的信息类型，特别是对于人文(H)和社会科学(SS)以及文学、文学和艺术(LLA)领域的巴西研究人员。本文使用来自四个数据库(InCites基于Web of Science/Carivate Analytics, SciVal基于Scopus/Elsevier, Scielo和Redalyc)的数据来研究SS、H和LLA影响的各个维度。这四个数据库的重叠程度很低。在Incites和Scival上发表的大部分巴西论文发表在这些数据库中所占比例很低的期刊上，而在每个期刊上发表几篇论文的期刊所占比例很高。与其他知识领域相比，SS、H和LLA每期期刊的论文较少，每篇论文的作者较少，LLA引用的论文较少。他们也需要更长的时间来积累引用，并且Scielo中的引用行为不同于Incites和SciVal。从Redalyc下载巴西论文最多的是美国。不同的数据库表现出不同的引用模式和影响。巴西科学成果在SSH领域的数量和质量正在提高，可以在世界范围内展示高影响力的研究和突出地位。然而，巴西的相关主题在国际上可能没有同样的重要性。因此，这些领域的评价不应局限于国际数据基。认识到这些差异并不意味着对巴西人文和社会科学在国际上的插入作出否定的结论。
{"title":"Bibliometric measures in social sciences and humanities from different sources based on Brazilian data","authors":"C. McManus, Abilio Afonso Baeta Neves","doi":"10.1080/09737766.2022.2097896","DOIUrl":"https://doi.org/10.1080/09737766.2022.2097896","url":null,"abstract":"The objective of this paper was to determine what type of information is available for journal article production from different sources, especially for Brazilian researchers in the areas of humanities (H) and social sciences (SS), and Letters, Literature and Arts (LLA). This paper looks at the various dimensions of the SS, H, and LLA impact using data from four databases (InCites based on Web of Science/Carivate Analytics, SciVal based on Scopus/Elsevier, Scielo and Redalyc). The four databases show low overlap. A large proportion of Brazilian papers in Incites and Scival are published in a low percentage of journals in these databases, with a high percentage of journals having a few papers each. SS, H and LLA have fewer papers per journal, fewer authors per paper and LLA cite fewer papers than the other areas of knowledge. They also take longer to accumulate citations, and the behaviour of citations in Scielo differs from those in Incites and SciVal. The largest number of downloads of Brazilian papers from Redalyc is from the USA. Different databases show different citation patterns and impacts. The quantity and quality of production of Brazilian science in SSH areas are improving and can show high-impact research and prominence worldwide. Nevertheless, relevant themes for Brazil may not have the same importance internationally. Therefore, evaluation in these areas should not be limited to international databases. Recognising these differences does not imply negative conclusions regarding the international insertion of Brazilian human and social sciences.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"279 - 304"},"PeriodicalIF":1.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45179141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/09737766.2022.2098875
R. Aliguliyev, Narmin A. Adigozalova
Recently, the number of multiple authorship and collaborative papers has been growing rapidly. This number differs significantly according to various scientific fields. Known that h-type indices (h-index, gindex, A-index, etc.) are used to evaluate the performance of researchers, which do not distinguish between single-author and multi-author papers in the evaluation process. In other words, a citation received from multi-authored papers is applied to all co-authors (as in the single-authored paper). To solve this problem, several weighted version of the h-index have been proposed. Most of these versions are indices and are based on the division principle of citations based on the co-author’s position in the authors’ order. In other words, according to the position of the co-authors order, the weight is assigned to the co-authors, and the citations are proportionally divided according to co-authors in these weights. Obviously, the calculation of weights is important in this case. h-type indices proposed in the paper are based on the “relative first author” (or “local first author”) principle. “Relative first author” means the co-authors being in the first position relative to the co-authors after him. Based on this principle, existing weighting schemes were modified, and then new weighted h-type indices were proposed for multiple authorship papers according to these weighting schemes. In other words, the “local first author” approach was proposed instead of the “global first author” approach in calculating the h-type indices for multiple authorship papers. The suggested indices were calculated for 30 researchers selected from the Google Scholar database and compared with other relevant h-type indices.
{"title":"h-type indices for multiple authorship papers based on “relative first author” principle","authors":"R. Aliguliyev, Narmin A. Adigozalova","doi":"10.1080/09737766.2022.2098875","DOIUrl":"https://doi.org/10.1080/09737766.2022.2098875","url":null,"abstract":"Recently, the number of multiple authorship and collaborative papers has been growing rapidly. This number differs significantly according to various scientific fields. Known that h-type indices (h-index, gindex, A-index, etc.) are used to evaluate the performance of researchers, which do not distinguish between single-author and multi-author papers in the evaluation process. In other words, a citation received from multi-authored papers is applied to all co-authors (as in the single-authored paper). To solve this problem, several weighted version of the h-index have been proposed. Most of these versions are indices and are based on the division principle of citations based on the co-author’s position in the authors’ order. In other words, according to the position of the co-authors order, the weight is assigned to the co-authors, and the citations are proportionally divided according to co-authors in these weights. Obviously, the calculation of weights is important in this case. h-type indices proposed in the paper are based on the “relative first author” (or “local first author”) principle. “Relative first author” means the co-authors being in the first position relative to the co-authors after him. Based on this principle, existing weighting schemes were modified, and then new weighted h-type indices were proposed for multiple authorship papers according to these weighting schemes. In other words, the “local first author” approach was proposed instead of the “global first author” approach in calculating the h-type indices for multiple authorship papers. The suggested indices were calculated for 30 researchers selected from the Google Scholar database and compared with other relevant h-type indices.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"305 - 330"},"PeriodicalIF":1.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46662468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/09737766.2022.2106167
Ritu Sharma, Sarita Gulati, Amanpreet Kaur, A. Sinhababu, Prof. Rupak Chakravarty
One of the most challenging tasks of any research is literature review in which a researcher is constantly switching between different modes of searching and browsing papers. The researchers may find and explore some relevant papers via keyword searching or stumble upon some required papers via Wikipedia or at a conference, which leads to looking at the references or citations of that paper, which again leads to more citation mining and before one knows it might be lost. It often feels like tumbling down the rabbit hole, as each relevant paper that is found opens up yet more avenues to explore and dig out the endless possibilities. Research Rabbit is a new literature mapping tool that helps with doing all this complex literature review in a seamless way and provide quick visualizations to help in exploring the literature “forest”?
{"title":"Research discovery and visualization using ResearchRabbit: A use case of AI in libraries","authors":"Ritu Sharma, Sarita Gulati, Amanpreet Kaur, A. Sinhababu, Prof. Rupak Chakravarty","doi":"10.1080/09737766.2022.2106167","DOIUrl":"https://doi.org/10.1080/09737766.2022.2106167","url":null,"abstract":"One of the most challenging tasks of any research is literature review in which a researcher is constantly switching between different modes of searching and browsing papers. The researchers may find and explore some relevant papers via keyword searching or stumble upon some required papers via Wikipedia or at a conference, which leads to looking at the references or citations of that paper, which again leads to more citation mining and before one knows it might be lost. It often feels like tumbling down the rabbit hole, as each relevant paper that is found opens up yet more avenues to explore and dig out the endless possibilities. Research Rabbit is a new literature mapping tool that helps with doing all this complex literature review in a seamless way and provide quick visualizations to help in exploring the literature “forest”?","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"215 - 237"},"PeriodicalIF":1.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48098681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-03DOI: 10.1080/09737766.2022.2117666
Lokhande Rahul, P. Nishy
Squaraines are organic dyes with a wide range of applications ranging from solar cells to medical imaging. The main objective of this study is to analyse the pattern of squaraine dyes research scientometrically. The study, based on the data collected from citation databases, Web of Science (WoS), and Scopus, reveals that the research on squaraine dyes shows a positive growth rate. The highest number of publications are from the United States of America, followed by China. Three Asian countries, China, Japan, and India, accounted for about half of all global research output. The most productive institute is CSIR-NIIST-India in terms of the number of papers published and citations received per paper (CPP) among the top fifteen institutes. In addition to solar cell-related applications of squaraine dyes, bioimaging, drug delivery, and photodynamic therapy are also receiving sufficient attention from researchers. Since the number of studies and researchers involved in this field has been found to be less, efforts should be undertaken to strengthen the research on squaraine dyes to explore the wide range of its applications
Squaraines是一种有机染料，具有从太阳能电池到医学成像的广泛应用。本研究的主要目的是从科学计量的角度分析方胺染料的研究模式。这项研究基于从引文数据库、Web of Science（WoS）和Scopus收集的数据，表明对方丹染料的研究显示出正增长率。出版物数量最多的是美利坚合众国，其次是中国。三个亚洲国家，中国、日本和印度，约占全球研究产出的一半。就发表的论文数量和每篇论文被引用的次数（CPP）而言，在排名前十五的研究所中，产量最高的研究所是印度CSIR NIIST。除了与太阳能电池相关的方胺染料应用外，生物成像、药物递送和光动力疗法也受到了研究人员的充分关注。由于该领域的研究和研究人员数量较少，因此应努力加强对方胺染料的研究，以探索其广泛的应用
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