John C. Nash

82 papers and 4.6k indexed citations i.

About

John C. Nash is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, John C. Nash has authored 82 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 8 papers in Control and Systems Engineering and 8 papers in Statistics and Probability. Recurrent topics in John C. Nash’s work include Matrix Theory and Algorithms (8 papers), Advanced Optimization Algorithms Research (5 papers) and Statistics Education and Methodologies (5 papers). John C. Nash is often cited by papers focused on Matrix Theory and Algorithms (8 papers), Advanced Optimization Algorithms Research (5 papers) and Statistics Education and Methodologies (5 papers). John C. Nash collaborates with scholars based in Canada, United States and United Kingdom. John C. Nash's co-authors include Ravi Varadhan, Jérôme Doutriaux, Michael Guolla, J. L. Sanders, Glenn V. Dalrymple, A. J. Moss, Trevor Green, C. A. Coulson, Ronald G. Duggleby and Douglas M. Bates and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Econometrica.

In The Last Decade

Co-authorship network of co-authors of John C. Nash i

Fields of papers citing papers by John C. Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Nash. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John C. Nash. The network helps show where John C. Nash may publish in the future.

Countries citing papers authored by John C. Nash

Since Specialization
Citations

This map shows the geographic impact of John C. Nash's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John C. Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Nash more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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