Carlos C. Rodríguez
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Statistics and Probability top 10%
- Computational Theory and Mathematics
- Computer Networks and Communications
- Co-authors
- Adom GiffinKevin H. KnuthAriel CatichaDenzil G. FiebigHenri TheilJohn Van RyzinR. D. RosenkrantzGérard Biau
- Topics
- Statistical Mechanics and Entropy (8 papers)Statistical Methods and Inference (6 papers)Neural Networks and Applications (5 papers)
- Journals
- Journal of Biological ChemistryJournal of the American Statistical AssociationIEEE Transactions on Information Theory
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Carlos C. Rodríguez
36 papers receiving 228 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 93
- Statistical and Nonlinear Physics 60
- Statistics and Probability 43
- Computational Theory and Mathematics 31
- Computer Networks and Communications 27
Countries citing papers authored by Carlos C. Rodríguez
This map shows the geographic impact of Carlos C. Rodríguez'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 Carlos C. Rodríguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos C. Rodríguez more than expected).
Fields of papers citing papers by Carlos C. Rodríguez
This network shows the impact of papers produced by Carlos C. Rodríguez. 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 Carlos C. Rodríguez. The network helps show where Carlos C. Rodríguez may publish in the future.
Co-authorship network of co-authors of Carlos C. Rodríguez
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos C. Rodríguez. A scholar is included among the top collaborators of Carlos C. Rodríguez 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 Carlos C. Rodríguez. Carlos C. Rodríguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 17 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 2 |
About Carlos C. Rodríguez
Carlos C. Rodríguez is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability and Artificial Intelligence, having authored 43 papers that have together received 257 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (8 papers), Statistical Methods and Inference (6 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Statistics and Probability (43 citations), Statistical and Nonlinear Physics (60 citations) and Artificial Intelligence (93 citations). Carlos C. Rodríguez has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Adom Giffin, Kevin H. Knuth, Ariel Caticha, Denzil G. Fiebig, Henri Theil, John Van Ryzin, R. D. Rosenkrantz, Gérard Biau, David Cohen‐Steiner and Luc Devroye. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American Statistical Association and IEEE Transactions on Information Theory.
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.