María de la Paz Ramos-Lara, Gustavo Carreón-Vázquez, Edgar Acatitla-Romero, Rosa María Mendoza-Rosas
{"title":"绘制曼努埃尔-桑多瓦尔-巴亚尔塔(1899-1977 年)的科学贡献。","authors":"María de la Paz Ramos-Lara, Gustavo Carreón-Vázquez, Edgar Acatitla-Romero, Rosa María Mendoza-Rosas","doi":"10.1007/s10699-022-09872-y","DOIUrl":null,"url":null,"abstract":"<p><p>This paper employs network theory, mining data and bibliometric analysis when mapping the scientific contribution of Nobel Prize candidate; Manuel Sandoval Vallarta, the first and most renowned Mexican physicist and important figure in Latin American science. Vallarta died in 1977, and the existing literature is about his life and contributions to science but not about how those are still valuable today. This paper is the first to highlight, with mapping tools, that his contributions are relevant to the international community of cosmic rays (as he was pioneer and leader), quantum mechanics and relativity. These tools delivered three findings: Identify how he built his own field of study, same as universal knowledge. Unveil that the backward and forward Vallarta citations follow a <i>scale-free</i> network distribution. Determine social factors that benefited or affected his scientific activities-such as World War II interrupting Vallarta's successful productivity at Massachusetts Institute of Technology. Furthermore, this study confirmed the interdisciplinary nature of the mapping studies of the scientist's contributions using scientometric tools. As a result, several interesting questions arose throughout our research, some of which were answered from the history and philosophy of science. However, others need to be analyzed by experts in the fields of Vallarta. Mapping research sends an invitation to interdisciplinary dialogue/research between experts in different areas of study to better understand the process of knowledge production both, individual and collective.</p>","PeriodicalId":55146,"journal":{"name":"Foundations of Science","volume":" ","pages":"1-28"},"PeriodicalIF":0.9000,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516536/pdf/","citationCount":"0","resultStr":"{\"title\":\"Mapping Manuel Sandoval Vallarta (1899-1977) Scientific Contribution.\",\"authors\":\"María de la Paz Ramos-Lara, Gustavo Carreón-Vázquez, Edgar Acatitla-Romero, Rosa María Mendoza-Rosas\",\"doi\":\"10.1007/s10699-022-09872-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This paper employs network theory, mining data and bibliometric analysis when mapping the scientific contribution of Nobel Prize candidate; Manuel Sandoval Vallarta, the first and most renowned Mexican physicist and important figure in Latin American science. Vallarta died in 1977, and the existing literature is about his life and contributions to science but not about how those are still valuable today. This paper is the first to highlight, with mapping tools, that his contributions are relevant to the international community of cosmic rays (as he was pioneer and leader), quantum mechanics and relativity. These tools delivered three findings: Identify how he built his own field of study, same as universal knowledge. Unveil that the backward and forward Vallarta citations follow a <i>scale-free</i> network distribution. Determine social factors that benefited or affected his scientific activities-such as World War II interrupting Vallarta's successful productivity at Massachusetts Institute of Technology. Furthermore, this study confirmed the interdisciplinary nature of the mapping studies of the scientist's contributions using scientometric tools. As a result, several interesting questions arose throughout our research, some of which were answered from the history and philosophy of science. However, others need to be analyzed by experts in the fields of Vallarta. Mapping research sends an invitation to interdisciplinary dialogue/research between experts in different areas of study to better understand the process of knowledge production both, individual and collective.</p>\",\"PeriodicalId\":55146,\"journal\":{\"name\":\"Foundations of Science\",\"volume\":\" \",\"pages\":\"1-28\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2022-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516536/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Foundations of Science\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1007/s10699-022-09872-y\",\"RegionNum\":4,\"RegionCategory\":\"哲学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HISTORY & PHILOSOPHY OF SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Foundations of Science","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1007/s10699-022-09872-y","RegionNum":4,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HISTORY & PHILOSOPHY OF SCIENCE","Score":null,"Total":0}
Mapping Manuel Sandoval Vallarta (1899-1977) Scientific Contribution.
This paper employs network theory, mining data and bibliometric analysis when mapping the scientific contribution of Nobel Prize candidate; Manuel Sandoval Vallarta, the first and most renowned Mexican physicist and important figure in Latin American science. Vallarta died in 1977, and the existing literature is about his life and contributions to science but not about how those are still valuable today. This paper is the first to highlight, with mapping tools, that his contributions are relevant to the international community of cosmic rays (as he was pioneer and leader), quantum mechanics and relativity. These tools delivered three findings: Identify how he built his own field of study, same as universal knowledge. Unveil that the backward and forward Vallarta citations follow a scale-free network distribution. Determine social factors that benefited or affected his scientific activities-such as World War II interrupting Vallarta's successful productivity at Massachusetts Institute of Technology. Furthermore, this study confirmed the interdisciplinary nature of the mapping studies of the scientist's contributions using scientometric tools. As a result, several interesting questions arose throughout our research, some of which were answered from the history and philosophy of science. However, others need to be analyzed by experts in the fields of Vallarta. Mapping research sends an invitation to interdisciplinary dialogue/research between experts in different areas of study to better understand the process of knowledge production both, individual and collective.
期刊介绍:
Foundations of Science focuses on methodological and philosophical topics of foundational significance concerning the structure and the growth of science. It serves as a forum for exchange of views and ideas among working scientists and theorists of science and it seeks to promote interdisciplinary cooperation.
Since the various scientific disciplines have become so specialized and inaccessible to workers in different areas of science, one of the goals of the journal is to present the foundational issues of science in a way that is free from unnecessary technicalities yet faithful to the scientific content. The aim of the journal is not simply to identify and highlight foundational issues and problems, but to suggest constructive solutions to the problems.
The editors of the journal admit that various sciences have approaches and methods that are peculiar to those individual sciences. However, they hold the view that important truths can be discovered about and by the sciences and that truths transcend cultural and political contexts. Although properly conducted historical and sociological inquiries can explain some aspects of the scientific enterprise, the editors believe that the central foundational questions of contemporary science can be posed and answered without recourse to sociological or historical methods.