M.A. Vila
Impact in
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- Multi-Criteria Decision Making
- Signal Processing top 0.5%
- Data Management and Algorithms
Papers in
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- Semantic Web and Ontologies 31
- Fuzzy Logic and Control Systems 25
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- Data Management and Algorithms 79
- Co-authors
- Miguel Delgado (41 shared papers)José Luís Verdegay (17 shared papers)Daniel Sánchez (37 shared papers)Miguel Delgado‐Rodríguez (18 shared papers)Nicolás Marı́n (30 shared papers)Olga Pons (33 shared papers)Marı́a J. Martı́n-Bautista (38 shared papers)William Voxman (2 shared papers)
In The Last Decade
M.A. Vila
182 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 136
- Management Science and Operations Research 1.9k
- Signal Processing 985
- Statistics and Probability 713
- Computational Theory and Mathematics 1.2k
- Artificial Intelligence 1.9k
Countries citing papers authored by M.A. Vila
This map shows the geographic impact of M.A. Vila'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 M.A. Vila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Vila more than expected).
Fields of papers citing papers by M.A. Vila
This network shows the impact of papers produced by M.A. Vila. 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 M.A. Vila. The network helps show where M.A. Vila may publish in the future.
Co-authors
The 25 scholars most cited alongside M.A. Vila, 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 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 352 | |
| 2 | 1992 | 280 | |
| 3 | 1998 | 271 | |
| 4 | 2003 | 211 | |
| 5 | 1989 | 201 | |
| 6 | 2008 | 173 | |
| 7 | 1999 | 142 | |
| 8 | 1994 | 120 | |
| 9 | 1988 | 111 | |
| 10 | 2000 | 110 | |
| 11 | Fuzzy Optimization: Recent Advances | 1994 | 109 |
| 12 | 2002 | 106 | |
| 13 | 2015 | 93 | |
| 14 | 2011 | 87 | |
| 15 | 2013 | 76 | |
| 16 | 2002 | 65 | |
| 17 | 1993 | 65 | |
| 18 | 1994 | 60 | |
| 19 | 1998 | 58 | |
| 20 | 1995 | 56 |
About M.A. Vila
M.A. Vila is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Management Science and Operations Research and Computational Theory and Mathematics, having authored 187 papers that have together received 4.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (79 papers), Rough Sets and Fuzzy Logic (44 papers), Multi-Criteria Decision Making (43 papers), Data Mining Algorithms and Applications (42 papers), Advanced Database Systems and Queries (39 papers), Semantic Web and Ontologies (31 papers), Fuzzy Logic and Control Systems (25 papers) and Fuzzy Systems and Optimization (17 papers). The work is most often cited by research in Management Science and Operations Research (1.9k citations), Signal Processing (985 citations), Statistics and Probability (713 citations), Computational Theory and Mathematics (1.2k citations) and Artificial Intelligence (1.9k citations). M.A. Vila has collaborated with scholars based in Spain, Denmark and Cuba. Frequent co-authors include Miguel Delgado, José Luís Verdegay, Daniel Sánchez, Miguel Delgado‐Rodríguez, Nicolás Marı́n, Olga Pons, Marı́a J. Martı́n-Bautista, William Voxman, Juan Miguel Medina and Juan-Carlos Cubero. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Intelligent Systems, Expert Systems with Applications, Information Sciences and International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.
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.