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.

本文运用网络理论、数据挖掘和文献计量分析来绘制诺贝尔奖候选人的科学贡献；曼努埃尔·桑多瓦尔·巴亚尔塔 (Manuel Sandoval Vallarta)，第一位也是最著名的墨西哥物理学家，也是拉丁美洲科学界的重要人物。瓦亚尔塔于 1977 年去世，现有的文献是关于他的一生和对科学的贡献，但并不是关于这些在今天仍然有价值的内容。这篇论文首次通过绘图工具强调了他的贡献与国际宇宙射线界（因为他是先驱和领导者）、量子力学和相对论相关。这些工具带来了三个发现： 确定他如何建立自己的研究领域，就像普遍知识一样。揭示后向和前向 Vallarta 引用遵循无标度网络分布。确定有利于或影响他的科学活动的社会因素，例如第二次世界大战中断了瓦拉塔在麻省理工学院成功的生产力。此外，这项研究证实了使用科学计量工具对科学家的贡献进行绘图研究的跨学科性质。结果，我们的研究中出现了一些有趣的问题，其中一些问题从科学史和科学哲学中得到了回答。不过，其他的则需要巴亚尔塔领域的专家来分析。制图研究邀请不同研究领域的专家之间进行跨学科对话/研究，以更好地理解个人和集体的知识生产过程。