José E. Chacón
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
- Gaussian Processes and Bayesian Inference
- Advanced Clustering Algorithms Research
Papers in
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- Statistical Methods and Inference 11
- Advanced Statistical Methods and Models 4
- Statistical Methods and Bayesian Inference 3
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- Bayesian Methods and Mixture Models 5
- Gaussian Processes and Bayesian Inference 3
- Neural Networks and Applications 2
- Co-authors
- Tarn Duong (6 shared papers)M. P. Wand (1 shared paper)Alberto Rodríguez‐Casal (2 shared papers)Agustín García Nogales (3 shared papers)Jesús Montanero‐Fernández (3 shared papers)Carlos Tenreiro (3 shared papers)Josep Antoni Martín Fernández (1 shared paper)Glòria Mateu‐Figueras (1 shared paper)
In The Last Decade
José E. Chacón
22 papers receiving 487 citations
Peers
Comparison fields: 5 of 114
- Statistics and Probability 203
- Artificial Intelligence 204
- Statistics, Probability and Uncertainty 26
- Finance 32
- Numerical Analysis 14
Countries citing papers authored by José E. Chacón
This map shows the geographic impact of José E. Chacón'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 José E. Chacón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José E. Chacón more than expected).
Fields of papers citing papers by José E. Chacón
This network shows the impact of papers produced by José E. Chacón. 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 José E. Chacón. The network helps show where José E. Chacón may publish in the future.
Co-authors
The 9 scholars most cited alongside José E. Chacón, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 127 | |
| 2 | 2009 | 85 | |
| 3 | 2011 | 74 | |
| 4 | 2012 | 52 | |
| 5 | 2022 | 28 | |
| 6 | 2009 | 21 | |
| 7 | 2011 | 19 | |
| 8 | 2007 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2010 | 15 | |
| 11 | 2007 | 11 | |
| 12 | 2010 | 11 | |
| 13 | 2005 | 6 | |
| 14 | 2011 | 6 | |
| 15 | 2014 | 3 | |
| 16 | 2013 | 3 | |
| 17 | 2013 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2007 | 1 |
About José E. Chacón
José E. Chacón is a scholar working on Statistics and Probability, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Geometry and Topology, having authored 22 papers that have together received 502 indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Control Systems and Identification (8 papers), Bayesian Methods and Mixture Models (5 papers), Advanced Statistical Methods and Models (4 papers), Statistical Methods and Bayesian Inference (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Face and Expression Recognition (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Statistics and Probability (203 citations), Artificial Intelligence (204 citations), Statistics, Probability and Uncertainty (26 citations), Finance (32 citations) and Numerical Analysis (14 citations). José E. Chacón has collaborated with scholars based in Spain, France and Portugal. Frequent co-authors include Tarn Duong, M. P. Wand, Alberto Rodríguez‐Casal, Agustín García Nogales, Jesús Montanero‐Fernández, Carlos Tenreiro, Josep Antoni Martín Fernández, Glòria Mateu‐Figueras and Amparo Baı́llo. Their work appears in journals such as Canadian Journal of Statistics, Test, Advances in Data Analysis and Classification, Computers & Geosciences and Computational Statistics & Data Analysis.
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.