Antonio Salmerón
Impact in
- Artificial Intelligence top 1%
- Bayesian Modeling and Causal Inference
- Bayesian Methods and Mixture Models
- AI-based Problem Solving and Planning
- Statistics and Probability top 2%
Papers in
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- Bayesian Modeling and Causal Inference 88
- Bayesian Methods and Mixture Models 23
- Gaussian Processes and Bayesian Inference 12
- Machine Learning and Data Classification 11
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- Data Management and Algorithms 29
- Co-authors
- Rafael Rumí (37 shared papers)Serafı́n Moral (23 shared papers)Antonio Fernández (16 shared papers)Pedro A. Aguilera (11 shared papers)Rosa Fernández (1 shared paper)Helge Langseth (27 shared papers)Thomas D. Nielsen (25 shared papers)Mauro Scanagatta (1 shared paper)
In The Last Decade
Antonio Salmerón
110 papers receiving 2.1k citations
Antonio Salmerón's Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 1.3k
- Statistics and Probability 233
- Statistics, Probability and Uncertainty 186
- Management Science and Operations Research 333
- Signal Processing 277
Countries citing papers authored by Antonio Salmerón
This map shows the geographic impact of Antonio Salmerón'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 Antonio Salmerón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Salmerón more than expected).
Fields of papers citing papers by Antonio Salmerón
This network shows the impact of papers produced by Antonio Salmerón. 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 Antonio Salmerón. The network helps show where Antonio Salmerón may publish in the future.
Co-authors
The 25 scholars most cited alongside Antonio Salmerón, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bayesian networks in environmental modelling Hit paper breakdown → | 2011 | 515 |
| 2 | 2019 | 175 | |
| 3 | 2001 | 164 | |
| 4 | 2009 | 89 | |
| 5 | 2000 | 71 | |
| 6 | 2016 | 64 | |
| 7 | 2011 | 57 | |
| 8 | 2005 | 52 | |
| 9 | 2000 | 52 | |
| 10 | 2004 | 48 | |
| 11 | 2006 | 42 | |
| 12 | 2006 | 41 | |
| 13 | 2018 | 38 | |
| 14 | 2007 | 35 | |
| 15 | 2013 | 34 | |
| 16 | 2003 | 34 | |
| 17 | 1998 | 31 | |
| 18 | 2002 | 28 | |
| 19 | 2010 | 28 | |
| 20 | 2010 | 27 |
About Antonio Salmerón
Antonio Salmerón is a scholar working on Artificial Intelligence, Signal Processing, Management Science and Operations Research, Information Systems and Statistics and Probability, having authored 116 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (88 papers), Data Management and Algorithms (29 papers), Bayesian Methods and Mixture Models (23 papers), Data Mining Algorithms and Applications (18 papers), Gaussian Processes and Bayesian Inference (12 papers), Machine Learning and Data Classification (11 papers), Data Quality and Management (10 papers) and Multi-Criteria Decision Making (9 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Statistics and Probability (233 citations), Statistics, Probability and Uncertainty (186 citations), Management Science and Operations Research (333 citations) and Signal Processing (277 citations). Antonio Salmerón has collaborated with scholars based in Spain, Denmark and Norway. Frequent co-authors include Rafael Rumí, Serafı́n Moral, Antonio Fernández, Pedro A. Aguilera, Rosa Fernández, Helge Langseth, Thomas D. Nielsen, Mauro Scanagatta, Fabio Stella and Andrés Cano. Their work appears in journals such as International Journal of Approximate Reasoning, International Journal of Intelligent Systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Knowledge-Based Systems and Environmental Modelling & Software.
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.