Guzmán Santafé
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Evolutionary Algorithms and Applications
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- Computational Drug Discovery Methods
Papers in
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- Frailty in Older Adults 2
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- Bayesian Methods and Mixture Models 4
- Bayesian Modeling and Causal Inference 3
- Machine Learning and Data Classification 2
- Co-authors
- Borja CalvoJosé A. LozanoIñaki InzaPedro LarrañagaRoberto SantanaConcha BielzaRubén ArmañanzasAritz Pérez
- Journals
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (1 paper)Briefings in Bioinformatics (1 paper)Journal of Cachexia Sarcopenia and Muscle (1 paper)Artificial Intelligence Review (1 paper)The R Journal (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Guzmán Santafé
16 papers receiving 880 citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 273
- Computational Theory and Mathematics 91
- Molecular Biology 378
- Geriatrics and Gerontology 21
- Biophysics 21
Countries citing papers authored by Guzmán Santafé
This map shows the geographic impact of Guzmán Santafé'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 Guzmán Santafé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guzmán Santafé more than expected).
Fields of papers citing papers by Guzmán Santafé
This network shows the impact of papers produced by Guzmán Santafé. 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 Guzmán Santafé. The network helps show where Guzmán Santafé may publish in the future.
Co-authors
The 24 scholars most cited alongside Guzmán Santafé, 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 | 2 | |
| 2 | 2023 | 33 | |
| 3 | 2023 | 13 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 8 | |
| 6 | 2016 | 156 | |
| 7 | Statistical Comparison of Multiple Algorithms in MultipleProblems | 2015 | 1 |
| 8 | 2015 | 93 | |
| 9 | 2011 | 25 | |
| 10 | 2010 | 4 | |
| 11 | Efecto de la Temperatura y Tiempo de Cocción en la Porosidad de Mezclas a Base de Arcillas de Caolines. | 2009 | 1 |
| 12 | 2008 | 4 | |
| 13 | Bayesian Model Averaging of TAN Models for Clustering. | 2006 | 2 |
| 14 | 2006 | 26 | |
| 15 | 2006 | 2 | |
| 16 | Machine learning in bioinformatics Hit paper breakdown → | 2006 | 539 |
About Guzmán Santafé
Guzmán Santafé is a scholar working on Geriatrics and Gerontology, Artificial Intelligence, Geography, Planning and Development, Management Science and Operations Research and Statistics and Probability, having authored 16 papers that have together received 914 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (4 papers), Bayesian Modeling and Causal Inference (3 papers), Frailty in Older Adults (2 papers), Machine Learning and Data Classification (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Genetic diversity and population structure (2 papers), Data-Driven Disease Surveillance (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Artificial Intelligence (273 citations), Computational Theory and Mathematics (91 citations), Molecular Biology (378 citations), Geriatrics and Gerontology (21 citations) and Biophysics (21 citations). Guzmán Santafé has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Borja Calvo, José A. Lozano, Iñaki Inza, Pedro Larrañaga, Roberto Santana, Concha Bielza, Rubén Armañanzas, Aritz Pérez, Vı́ctor Robles and John Beard. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Briefings in Bioinformatics, Journal of Cachexia Sarcopenia and Muscle, Artificial Intelligence Review and The R Journal.
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.