Carlos J. Pérez
- Artificial Intelligence top 2%
- Physiology top 5%
- Safety, Risk, Reliability and Quality top 2%
- Statistics and Probability top 2%
- Signal Processing top 5%
- Co-authors
- Miguel A. Vega‐RodríguezJ. Martı́nJesús M. Sánchez-GómezY. Campos‐RocaLizbeth NaranjoInma T. CastroNuria CaballéJose M. Lanza-Gutiérrez
- Topics
- Voice and Speech Disorders (21 papers)Statistical Methods and Bayesian Inference (18 papers)Bayesian Methods and Mixture Models (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentHepatology
- Partner nations
- SpainMexicoCosta Rica
In The Last Decade
Carlos J. Pérez
101 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 162
- Artificial Intelligence 496
- Physiology 382
- Safety, Risk, Reliability and Quality 234
- Statistics and Probability 207
- Signal Processing 165
Countries citing papers authored by Carlos J. Pérez
This map shows the geographic impact of Carlos J. Pérez'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 J. Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos J. Pérez more than expected).
Fields of papers citing papers by Carlos J. Pérez
This network shows the impact of papers produced by Carlos J. Pérez. 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 J. Pérez. The network helps show where Carlos J. Pérez may publish in the future.
Co-authorship network of co-authors of Carlos J. Pérez
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos J. Pérez. A scholar is included among the top collaborators of Carlos J. Pérez 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 J. Pérez. Carlos J. Pérez 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 11 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | Collaborative project based learning for a statistics course | 0 |
| 17 | Servicios ecosistemicos e hidroenergía en Costa Rica | 1 |
| 18 | Importancia de los bosques tropicales en las políticas de adaptación al cambio climático | 1 |
| 19 | Misclassified multinomial data: a Bayesian approach | 12 |
| 20 | 7 |
About Carlos J. Pérez
Carlos J. Pérez is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Signal Processing, having authored 108 papers that have together received 1.7k indexed citations. Recurring topics across this work include Voice and Speech Disorders (21 papers), Statistical Methods and Bayesian Inference (18 papers) and Bayesian Methods and Mixture Models (15 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (234 citations), Statistics and Probability (207 citations) and Software (92 citations). Carlos J. Pérez has collaborated with scholars based in Spain, Mexico and Costa Rica. Frequent co-authors include Miguel A. Vega‐Rodríguez, J. Martı́n, Jesús M. Sánchez-Gómez, Y. Campos‐Roca, Lizbeth Naranjo, Inma T. Castro, Nuria Caballé, Jose M. Lanza-Gutiérrez, Raquel Camargo and Felipe Sánchez de la Cuesta. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Hepatology.
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.