R. C. Thomas

17 papers and 149 indexed citations i.

About

R. C. Thomas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, R. C. Thomas has authored 17 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in R. C. Thomas’s work include Computational Physics and Python Applications (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Scientific Computing and Data Management (4 papers). R. C. Thomas is often cited by papers focused on Computational Physics and Python Applications (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Scientific Computing and Data Management (4 papers). R. C. Thomas collaborates with scholars based in United States and India. R. C. Thomas's co-authors include C. Aragon, S. Bailey, B. A. Weaver, Prabhat, K. Runge, Christopher J. Paciorek, Wei Zhuo, Benjamin Lipshitz, Cari G. Kaufman and Sarah Poon and has published in prestigious journals such as The Astrophysical Journal, Journal of Statistical Software and Journal of Parallel and Distributed Computing.

In The Last Decade

Co-authorship network of co-authors of R. C. Thomas i

Fields of papers citing papers by R. C. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. C. Thomas. 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 R. C. Thomas. The network helps show where R. C. Thomas may publish in the future.

Countries citing papers authored by R. C. Thomas

Since Specialization
Citations

This map shows the geographic impact of R. C. Thomas'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 R. C. Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. C. Thomas 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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2025