Vı́ctor Robles
Impact in
- Artificial Intelligence top 2%
- Text and Document Classification Technologies
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
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- Image Retrieval and Classification Techniques
Papers in
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- Metaheuristic Optimization Algorithms Research 10
- Topic Modeling 7
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- Distributed and Parallel Computing Systems 18
- Advanced Data Storage Technologies 9
- Co-authors
- José M. Peña (26 shared papers)Pedro Larrañaga (20 shared papers)Min-Ling Zhang (1 shared paper)Concha Bielza (10 shared papers)José A. Lozano (2 shared papers)Rubén Armañanzas (2 shared papers)Roberto Santana (2 shared papers)Iñaki Inza (2 shared papers)
- Journals
- Artificial Intelligence in Medicine (3 papers)Future Generation Computer Systems (3 papers)Information Sciences (2 papers)Cerebral Cortex (2 papers)Lecture notes in computer science (18 papers)
- Partner nations
- SpainUnited StatesColombia
In The Last Decade
Vı́ctor Robles
60 papers receiving 2.0k citations
Vı́ctor Robles's Hit Papers
Peers
Comparison fields: 5 of 162
- Artificial Intelligence 871
- Computer Vision and Pattern Recognition 335
- Computational Theory and Mathematics 222
- Biophysics 67
- Information Systems 248
Countries citing papers authored by Vı́ctor Robles
This map shows the geographic impact of Vı́ctor Robles'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 Vı́ctor Robles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vı́ctor Robles more than expected).
Fields of papers citing papers by Vı́ctor Robles
This network shows the impact of papers produced by Vı́ctor Robles. 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 Vı́ctor Robles. The network helps show where Vı́ctor Robles may publish in the future.
Co-authors
The 25 scholars most cited alongside Vı́ctor Robles, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Machine learning in bioinformatics Hit paper breakdown → | 2006 | 637 |
| 2 | Feature selection for multi-label naive Bayes classification Hit paper breakdown → | 2009 | 444 |
| 3 | 2012 | 117 | |
| 4 | 2008 | 75 | |
| 5 | 2010 | 73 | |
| 6 | 2004 | 62 | |
| 7 | 2014 | 57 | |
| 8 | 2013 | 56 | |
| 9 | 2010 | 54 | |
| 10 | 2002 | 40 | |
| 11 | 2012 | 36 | |
| 12 | 2004 | 31 | |
| 13 | 2005 | 29 | |
| 14 | 2005 | 26 | |
| 15 | 2014 | 25 | |
| 16 | 2006 | 23 | |
| 17 | 2023 | 21 | |
| 18 | 2004 | 17 | |
| 19 | 2024 | 15 | |
| 20 | 2005 | 14 |
About Vı́ctor Robles
Vı́ctor Robles is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Information Systems and Hardware and Architecture, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (18 papers), Metaheuristic Optimization Algorithms Research (10 papers), Advanced Data Storage Technologies (9 papers), Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (7 papers), Gene expression and cancer classification (7 papers), Data Mining Algorithms and Applications (7 papers) and Parallel Computing and Optimization Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (871 citations), Computer Vision and Pattern Recognition (335 citations), Computational Theory and Mathematics (222 citations), Biophysics (67 citations) and Information Systems (248 citations). Vı́ctor Robles has collaborated with scholars based in Spain, United States and Colombia. Frequent co-authors include José M. Peña, Pedro Larrañaga, Min-Ling Zhang, Concha Bielza, José A. Lozano, Rubén Armañanzas, Roberto Santana, Iñaki Inza, Guzmán Santafé and Aritz Pérez. Their work appears in journals such as Artificial Intelligence in Medicine, Future Generation Computer Systems, Information Sciences, Cerebral Cortex and Lecture notes in computer science.
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.