Borja Calvo
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Machine Learning and Data Classification
- Evolutionary Algorithms and Applications
Papers in
-
- Machine Learning and Data Classification 8
- Bayesian Modeling and Causal Inference 6
- Anomaly Detection Techniques and Applications 5
- Metaheuristic Optimization Algorithms Research 5
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- Gene expression and cancer classification 8
- Machine Learning in Bioinformatics 4
- Co-authors
- José A. Lozano (19 shared papers)Guzmán Santafé (3 shared papers)Pedro Larrañaga (9 shared papers)Iñaki Inza (6 shared papers)Rubén Armañanzas (4 shared papers)Aritz Pérez (4 shared papers)Roberto Santana (1 shared paper)Vı́ctor Robles (1 shared paper)
- Journals
- Pattern Recognition Letters (4 papers)Computer Methods and Programs in Biomedicine (2 papers)Journal of Microencapsulation (2 papers)Knowledge and Information Systems (2 papers)PLoS ONE (1 paper)
- Partner nations
- SpainFranceUnited States
In The Last Decade
Borja Calvo
39 papers receiving 1.3k citations
Borja Calvo's Hit Papers
Peers
Comparison fields: 5 of 157
- Cancer Research 190
- Artificial Intelligence 371
- Molecular Biology 573
- Computational Theory and Mathematics 116
- Industrial and Manufacturing Engineering 51
Countries citing papers authored by Borja Calvo
This map shows the geographic impact of Borja Calvo'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 Borja Calvo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Borja Calvo more than expected).
Fields of papers citing papers by Borja Calvo
This network shows the impact of papers produced by Borja Calvo. 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 Borja Calvo. The network helps show where Borja Calvo may publish in the future.
Co-authors
The 25 scholars most cited alongside Borja Calvo, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Machine learning in bioinformatics Hit paper breakdown → | 2006 | 542 |
| 2 | 2009 | 207 | |
| 3 | 2016 | 158 | |
| 4 | 2009 | 72 | |
| 5 | 2007 | 47 | |
| 6 | 2016 | 33 | |
| 7 | 1997 | 29 | |
| 8 | 2018 | 28 | |
| 9 | 2013 | 27 | |
| 10 | 2008 | 26 | |
| 11 | 2019 | 20 | |
| 12 | 2009 | 16 | |
| 13 | 2007 | 16 | |
| 14 | 2008 | 16 | |
| 15 | 2016 | 16 | |
| 16 | 2016 | 14 | |
| 17 | 2019 | 12 | |
| 18 | 2009 | 11 | |
| 19 | 2002 | 10 | |
| 20 | 2019 | 9 |
About Borja Calvo
Borja Calvo is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Machine Learning and Data Classification (8 papers), Bayesian Modeling and Causal Inference (6 papers), Anomaly Detection Techniques and Applications (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Face and Expression Recognition (4 papers), Machine Learning in Bioinformatics (4 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Cancer Research (190 citations), Artificial Intelligence (371 citations), Molecular Biology (573 citations), Computational Theory and Mathematics (116 citations) and Industrial and Manufacturing Engineering (51 citations). Borja Calvo has collaborated with scholars based in Spain, France and United States. Frequent co-authors include José A. Lozano, Guzmán Santafé, Pedro Larrañaga, Iñaki Inza, Rubén Armañanzas, Aritz Pérez, Roberto Santana, Vı́ctor Robles, Concha Bielza and Ekhiñe Irurozki. Their work appears in journals such as Pattern Recognition Letters, Computer Methods and Programs in Biomedicine, Journal of Microencapsulation, Knowledge and Information Systems and PLoS ONE.
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.