Vı́ctor Robles
- Artificial Intelligence top 2%
- Topic Modeling 7
- Metaheuristic Optimization Algorithms Research 5
- Natural Language Processing Techniques 5
- Biophysics top 5%
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- Biomedical Text Mining and Ontologies 8
- Gene expression and cancer classification 6
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- Distributed and Parallel Computing Systems 8
- Advanced Data Storage Technologies 5
- Peer-to-Peer Network Technologies 4
- Co-authors
- José M. PeñaMin-Ling ZhangPedro LarrañagaConcha BielzaJosé A. LozanoRubén ArmañanzasIñaki InzaRoberto Santana
- Journals
- Artificial Intelligence in Medicine (3 papers)Future Generation Computer Systems (3 papers)Information Sciences (2 papers)
- Partner nations
- SpainColombiaUnited States
In The Last Decade
Vı́ctor Robles
41 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Artificial Intelligence 691
- Computer Vision and Pattern Recognition 297
- Biophysics 65
- Computational Theory and Mathematics 173
- Molecular Biology 579
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 9 | |
| 8 | 2013 | 54 | |
| 9 | 2012 | 113 | |
| 10 | 2010 | 68 | |
| 11 | 2010 | 52 | |
| 12 | 2010 | 2 | |
| 13 | 2010 | 5 | |
| 14 | 2009 | 9 | |
| 15 | 2008 | 67 | |
| 16 | Scientific applications of grid computing : First International Workshop, SAG 2004 Beijing, China, September 20-24, 2004 : revised selected and invited papers | 2005 | 1 |
| 17 | 2005 | 14 | |
| 18 | Storage groups: A new approach for providing dynamic reconfiguration in data-based clusters. | 2004 | 1 |
| 19 | 2004 | 30 | |
| 20 | Interval Estimation Na¨ ive Bayes | 2003 | 1 |
About Vı́ctor Robles
Vı́ctor Robles is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Biophysics and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Distributed and Parallel Computing Systems (8 papers), Topic Modeling (7 papers), Gene expression and cancer classification (6 papers), Advanced Data Storage Technologies (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Natural Language Processing Techniques (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Artificial Intelligence (691 citations), Computer Vision and Pattern Recognition (297 citations), Biophysics (65 citations), Computational Theory and Mathematics (173 citations) and Molecular Biology (579 citations). Vı́ctor Robles has collaborated with scholars based in Spain, Colombia and United States. Frequent co-authors include José M. Peña, Min-Ling Zhang, Pedro Larrañaga, Concha Bielza, José A. Lozano, Rubén Armañanzas, Iñaki Inza, Roberto Santana, Aritz Pérez and Guzmán Santafé. Their work appears in journals such as Artificial Intelligence in Medicine, Future Generation Computer Systems, Information Sciences, Cerebral Cortex and Developmental Neurobiology.
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.