R. C. Thomas

2.4k total citations
19 papers, 157 citations indexed

About

R. C. Thomas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, R. C. Thomas has authored 19 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Information Systems and Management. Recurrent topics in R. C. Thomas's work include Computational Physics and Python Applications (7 papers), Scientific Computing and Data Management (6 papers) and Parallel Computing and Optimization Techniques (5 papers). R. C. Thomas is often cited by papers focused on Computational Physics and Python Applications (7 papers), Scientific Computing and Data Management (6 papers) and Parallel Computing and Optimization Techniques (5 papers). R. C. Thomas collaborates with scholars based in United States and India. R. C. Thomas's co-authors include C. Aragon, S. Bailey, Sarah Poon, K. Runge, Shreyas Cholia, B. A. Weaver, D. K. Wong, Keith Jackson, Krishna Muriki and Lavanya Ramakrishnan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Journal of Parallel and Distributed Computing.

In The Last Decade

R. C. Thomas

18 papers receiving 153 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. C. Thomas United States 9 53 38 37 35 29 19 157
Christopher Stoughton United States 5 83 1.6× 29 0.8× 27 0.7× 29 0.8× 34 1.2× 8 151
E. Suchyta United States 7 100 1.9× 28 0.7× 43 1.2× 10 0.3× 49 1.7× 17 172
Alessandro Costa Italy 8 87 1.6× 103 2.7× 27 0.7× 58 1.7× 26 0.9× 50 247
Deborah Bard United States 6 50 0.9× 38 1.0× 14 0.4× 14 0.4× 30 1.0× 11 135
Greg Daues United States 5 48 0.9× 26 0.7× 64 1.7× 13 0.4× 10 0.3× 6 140
Christopher Daley United States 8 79 1.5× 27 0.7× 57 1.5× 24 0.7× 7 0.2× 22 179
L. Gerhardt United States 6 77 1.5× 40 1.1× 21 0.6× 48 1.4× 28 1.0× 15 178
Lucia Morganti Italy 9 73 1.4× 10 0.3× 178 4.8× 31 0.9× 24 0.8× 27 297
Julián Garrido Spain 11 44 0.8× 56 1.5× 154 4.2× 52 1.5× 50 1.7× 37 293
M. Bandieramonte Italy 7 52 1.0× 55 1.4× 10 0.3× 24 0.7× 8 0.3× 20 124

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of R. C. Thomas. A scholar is included among the top collaborators of R. C. Thomas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. C. Thomas. R. C. Thomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kisner, Theodore, et al.. (2023). High-level GPU code: a case study examining JAX and OpenMP.. 1105–1113.
2.
Thomas, R. C. & Shreyas Cholia. (2021). Interactive Supercomputing With Jupyter. Computing in Science & Engineering. 23(2). 93–98. 11 indexed citations
3.
Barba, Lorena A., Andreas Klöckner, Prabhu Ramachandran, & R. C. Thomas. (2021). Scientific Computing With Python on High-Performance Heterogeneous Systems. Computing in Science & Engineering. 23(4). 5–7. 4 indexed citations
4.
Thomas, R. C., L. Stephey, Annette Greiner, & Brandon Cook. (2021). Monitoring Scientific Python Usage on a Supercomputer. Proceedings of the Python in Science Conferences. 123–131. 1 indexed citations
5.
Margala, Daniel, L. Stephey, R. C. Thomas, & S. Bailey. (2021). Accelerating Spectroscopic Data Processing Using Python and GPUs on NERSC Supercomputers. Proceedings of the Python in Science Conferences. 33–39. 1 indexed citations
6.
Stephey, L., R. C. Thomas, & S. Bailey. (2019). Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers. Proceedings of the Python in Science Conferences. 69–76. 1 indexed citations
7.
Wang, Xiao, R. C. Thomas, Jack Deslippe, et al.. (2019). Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. 1–23. 6 indexed citations
8.
Regier, Jeffrey, Keno Fischer, Andreas Noack, et al.. (2019). Cataloging the visible universe through Bayesian inference in Julia at petascale. Journal of Parallel and Distributed Computing. 127. 89–104. 8 indexed citations
9.
Regier, Jeffrey, Keno Fischer, Andreas Noack, et al.. (2018). Cataloging the Visible Universe Through Bayesian Inference at Petascale. 44–53. 9 indexed citations
10.
Thomas, R. C., Jack Deslippe, S. Bailey, et al.. (2017). Python in the NERSC Exascale Science Applications Program for Data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–10. 5 indexed citations
11.
Barbary, K., Thomas Barclay, Rahul Biswas, et al.. (2016). SNCosmo: Python library for supernova cosmology. Astrophysics Source Code Library. 13 indexed citations
12.
Jackson, Keith, Krishna Muriki, Lavanya Ramakrishnan, K. Runge, & R. C. Thomas. (2011). Performance and Cost Analysis of the Supernova Factory on the Amazon AWS Cloud. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Jackson, Keith, Krishna Muriki, Lavanya Ramakrishnan, K. Runge, & R. C. Thomas. (2011). Performance and Cost Analysis of the Supernova Factory on the Amazon AWS Cloud. Scientific Programming. 19(2-3). 107–119. 20 indexed citations
14.
Aragon, C., et al.. (2009). Using Visual Analytics to Develop Situation Awareness in Astrophysics. Information Visualization. 8(1). 30–41. 10 indexed citations
15.
Aragon, C., S. Bailey, Sarah Poon, K. Runge, & R. C. Thomas. (2008). Sunfall: a collaborative visual analytics system for astrophysics. Journal of Physics Conference Series. 125. 12091–12091. 15 indexed citations
16.
Poon, Sarah, R. C. Thomas, C. Aragon, & Brian Lee. (2008). Context-linked virtual assistants for distributed teams. 361–370. 12 indexed citations
17.
Bailey, S., et al.. (2007). How to Find More Supernovae with Less Work: Object Classification Techniques for Difference Imaging. The Astrophysical Journal. 665(2). 1246–1253. 35 indexed citations
18.
Aragon, C., S. Bailey, Sarah Poon, K. Runge, & R. C. Thomas. (2007). Sunfall: A Collaborative Visual Analytics System for Astrophysics. 4836. 219–220. 3 indexed citations
19.

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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