化学诺贝尔奖得主JP索维奇:科学计量学研究

Prakash Kumbar, Mallinath Kumbar
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引用次数: 0

摘要

本文试图评价2016年诺贝尔化学奖获得者JP Sauvage的科学贡献。在他的科学生涯中,他发表了429篇论文,被引用28362次。大多数出版物都有合作,占414。有机化学是他最喜欢的领域之一,他发表了89篇论文;最活跃的合作者是Collin JP 118, Holler M 80, Chambron JC 58, Frasconi M 53。期刊文章是最常见的交流渠道,他在其中发表了323篇论文的429篇。他的研究在1996年和1999年速度最快,每年发表28篇论文。他的h指数为107。最后,论文得出结论,Sauvage在“分子机器”领域的贡献可能会导致分子计算机的设计,放置在体内,在任何症状出现之前检测疾病。分子机器有潜力成为实现先进医疗解决方案的主要技术。编写该研究是为了证明JP Sauvage是化学领域即将到来的研究人员,同行科学家以及图书馆和信息中心的信息来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chemistry nobel laureate JP Sauvage: A scientometrics study
This paper attempts to evaluate the scientific contributions of JP Sauvage, recipient of the Nobel Prize in the field of Chemistry during 2016. He has published 429 publications with 28362 citations during his scientific career. Most of the publications have resulted in collaboration which accounts for 414. Organic Chemistry is one of his most favored domains in which he has published 89 publications; most active collaborators are Collin JP 118 with publications, Holler M 80, Chambron JC 58, Frasconi M 53 publications. Journal articles are the most common channel of communication, where he published 323 publications of 429. His research picks top speed in the year 1996 and 1999 in which he has published 28 publications each year. His H-index accounts for 107. Finally paper concluded that Sauvage's contribution in the field of “Molecular Machine” could lead to the design of a molecular computer, placed inside the body to detect a disease before any symptoms are exhibited. Molecular machines have the potentials of becoming the main technology for implementing an advanced medical solution. The study is compiled to prove the JP Sauvage as a source of information for upcoming researchers, fellow scientists, and Library and Information centres in the field of chemistry.
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