Guzmán Santafé

1.4k citations
16 papers · 914 indexed · 1 hit paper · h-index 8

Impact in

Papers in

Guzmán Santafé

16 papers receiving 880 citations

Hit Papers

Machine learning in bioinformatics 2006 · 539 citations
5392006202620122019100200300400500

Peers

Guzmán Santafé
Comparison fields: 5 of 147
  • Artificial Intelligence 273
  • Computational Theory and Mathematics 91
  • Molecular Biology 378
  • Geriatrics and Gerontology 21
  • Biophysics 21
Replace Keith Noto with:
Keith Noto United States
Blaise Hanczar France
Xiong Liu United States
Staal A. Vinterbo United States
Borja Calvo Spain
Mu Zhu Canada
Mohammed Elanbari Qatar
Fethi Jarray Tunisia
Bernhard Steiert Germany
Yen‐Jen Oyang Taiwan
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Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Guzmán Santafé

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Guzmán Santafé Line = papers co-authored together Guzmán Santafé links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20242
2 202333
3 202313
4 20225
5 20218
6 2016156
7
Statistical Comparison of Multiple Algorithms in MultipleProblems
20151
8 201593
9 201125
10 20104
11
Efecto de la Temperatura y Tiempo de Cocción en la Porosidad de Mezclas a Base de Arcillas de Caolines.
20091
12 20084
13
Bayesian Model Averaging of TAN Models for Clustering.
20062
14 200626
15 20062
16
Machine learning in bioinformatics
Hit paper breakdown →
2006539

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.

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