Eloísa Ramírez‐Poussa
Impact in
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- Rough Sets and Fuzzy Logic
- Advanced Algebra and Logic
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- Multi-Criteria Decision Making
Papers in
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- Rough Sets and Fuzzy Logic 30
- Advanced Algebra and Logic 19
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- Data Management and Algorithms 11
- Co-authors
- Jesús Medina (34 shared papers)M. Eugenia Cornejo (18 shared papers)Dominik Ślȩzak (2 shared papers)Henri Prade (1 shared paper)Didier Dubois (1 shared paper)Jozef Pócs (1 shared paper)László T. Kóczy (3 shared papers)Manuel Ojeda‐Aciego (2 shared papers)
In The Last Decade
Eloísa Ramírez‐Poussa
31 papers receiving 359 citations
Peers
Comparison fields: 5 of 33
- Computational Theory and Mathematics 343
- Management Science and Operations Research 137
- Signal Processing 83
- Information Systems 111
- Artificial Intelligence 132
Countries citing papers authored by Eloísa Ramírez‐Poussa
This map shows the geographic impact of Eloísa Ramírez‐Poussa'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 Eloísa Ramírez‐Poussa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eloísa Ramírez‐Poussa more than expected).
Fields of papers citing papers by Eloísa Ramírez‐Poussa
This network shows the impact of papers produced by Eloísa Ramírez‐Poussa. 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 Eloísa Ramírez‐Poussa. The network helps show where Eloísa Ramírez‐Poussa may publish in the future.
Co-authors
The 11 scholars most cited alongside Eloísa Ramírez‐Poussa, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 50 | |
| 2 | 2014 | 36 | |
| 3 | 2019 | 31 | |
| 4 | 2017 | 31 | |
| 5 | 2015 | 27 | |
| 6 | 2017 | 26 | |
| 7 | 2016 | 25 | |
| 8 | 2020 | 20 | |
| 9 | 2021 | 15 | |
| 10 | 2019 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2015 | 9 | |
| 13 | 2014 | 9 | |
| 14 | 2020 | 7 | |
| 15 | 2016 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 4 |
About Eloísa Ramírez‐Poussa
Eloísa Ramírez‐Poussa is a scholar working on Computational Theory and Mathematics, Signal Processing, Management Science and Operations Research, Information Systems and Artificial Intelligence, having authored 35 papers that have together received 365 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (30 papers), Advanced Algebra and Logic (19 papers), Data Management and Algorithms (11 papers), Multi-Criteria Decision Making (10 papers), Data Mining Algorithms and Applications (10 papers), Logic, Reasoning, and Knowledge (4 papers), Photovoltaic System Optimization Techniques (2 papers) and Fuzzy Logic and Control Systems (2 papers). The work is most often cited by research in Computational Theory and Mathematics (343 citations), Management Science and Operations Research (137 citations), Signal Processing (83 citations), Information Systems (111 citations) and Artificial Intelligence (132 citations). Eloísa Ramírez‐Poussa has collaborated with scholars based in Spain, Poland and Hungary. Frequent co-authors include Jesús Medina, M. Eugenia Cornejo, Dominik Ślȩzak, Henri Prade, Didier Dubois, Jozef Pócs, László T. Kóczy, Manuel Ojeda‐Aciego, István Harmati and Nicolás Madrid. Their work appears in journals such as Fuzzy Sets and Systems, Information Sciences, Journal of Computational and Applied Mathematics, Mathematical Methods in the Applied Sciences and International Journal of Information Technology & Decision Making.
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.