Ulises Cortés
Impact in
- Water Science and Technology top 5%
- Water Quality Monitoring Technologies
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- Water Quality Monitoring and Analysis
Papers in
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- Multi-Agent Systems and Negotiation 31
- Semantic Web and Ontologies 29
- Logic, Reasoning, and Knowledge 29
- AI-based Problem Solving and Planning 21
- Bayesian Modeling and Causal Inference 11
- Co-authors
- Manel Poch (43 shared papers)Miquel Sànchez–Marrè (39 shared papers)Ignasi Rodríguez‐Roda (20 shared papers)Joaquím Comas (21 shared papers)Luigi Ceccaroni (4 shared papers)Lluís Corominas (2 shared papers)Manel Garrido‐Baserba (2 shared papers)Javier Lafuente (9 shared papers)
In The Last Decade
Ulises Cortés
156 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 153
- Water Science and Technology 361
- Industrial and Manufacturing Engineering 209
- Artificial Intelligence 751
- Pollution 186
- Environmental Engineering 188
Countries citing papers authored by Ulises Cortés
This map shows the geographic impact of Ulises Cortés'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 Ulises Cortés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulises Cortés more than expected).
Fields of papers citing papers by Ulises Cortés
This network shows the impact of papers produced by Ulises Cortés. 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 Ulises Cortés. The network helps show where Ulises Cortés may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulises Cortés, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 176 | |
| 2 | 2017 | 160 | |
| 3 | 2000 | 137 | |
| 4 | 2020 | 71 | |
| 5 | 2002 | 65 | |
| 6 | 2020 | 63 | |
| 7 | 2009 | 63 | |
| 8 | 2003 | 60 | |
| 9 | 2018 | 59 | |
| 10 | 1996 | 54 | |
| 11 | 2003 | 51 | |
| 12 | 2010 | 41 | |
| 13 | 2003 | 37 | |
| 14 | 2006 | 32 | |
| 15 | 2008 | 31 | |
| 16 | 2018 | 30 | |
| 17 | 2011 | 29 | |
| 18 | 2019 | 27 | |
| 19 | 2016 | 27 | |
| 20 | 2003 | 26 |
About Ulises Cortés
Ulises Cortés is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Pollution and Information Systems, having authored 163 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (31 papers), Semantic Web and Ontologies (29 papers), Logic, Reasoning, and Knowledge (29 papers), AI-based Problem Solving and Planning (21 papers), Wastewater Treatment and Nitrogen Removal (12 papers), Bayesian Modeling and Causal Inference (11 papers), Rough Sets and Fuzzy Logic (9 papers) and Water Quality Monitoring Technologies (9 papers). The work is most often cited by research in Water Science and Technology (361 citations), Industrial and Manufacturing Engineering (209 citations), Artificial Intelligence (751 citations), Pollution (186 citations) and Environmental Engineering (188 citations). Ulises Cortés has collaborated with scholars based in Spain, Mexico and Italy. Frequent co-authors include Manel Poch, Miquel Sànchez–Marrè, Ignasi Rodríguez‐Roda, Joaquím Comas, Luigi Ceccaroni, Lluís Corominas, Manel Garrido‐Baserba, Javier Lafuente, Juan Carlos Nieves and Gustaf Olsson. Their work appears in journals such as Environmental Modelling & Software, Applied Intelligence, International Journal of Approximate Reasoning, Artificial Intelligence in Medicine and Theory and Practice of Logic Programming.
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.