Luis de la Ossa

921 total citations
35 papers, 637 citations indexed

About

Luis de la Ossa is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Luis de la Ossa has authored 35 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Luis de la Ossa's work include Fuzzy Logic and Control Systems (9 papers), Rough Sets and Fuzzy Logic (8 papers) and Bayesian Modeling and Causal Inference (7 papers). Luis de la Ossa is often cited by papers focused on Fuzzy Logic and Control Systems (9 papers), Rough Sets and Fuzzy Logic (8 papers) and Bayesian Modeling and Causal Inference (7 papers). Luis de la Ossa collaborates with scholars based in Spain, Japan and Austria. Luis de la Ossa's co-authors include José A. Gámez, José M. Puerta, Pablo Bermejo, David A. Roth, Victoriano Pardo, David Jaffe, José Strauss, Jacques J. Bourgoignie, Carolina Aguado and Yugo Fukazawa and has published in prestigious journals such as International Journal of Molecular Sciences, Kidney International and Expert Systems with Applications.

In The Last Decade

Luis de la Ossa

34 papers receiving 620 citations

Peers

Luis de la Ossa
Comparison fields: 5 of 109
  • Artificial Intelligence 205
  • Molecular Biology 118
  • Cellular and Molecular Neuroscience 107
  • Physiology 74
  • Infectious Diseases 73
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Citations per field, relative to Luis de la Ossa
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Citations per year, relative to Luis de la Ossa
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Countries citing papers authored by Luis de la Ossa

Since Specialization
Citations

This map shows the geographic impact of Luis de la Ossa'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 Luis de la Ossa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis de la Ossa more than expected).

Fields of papers citing papers by Luis de la Ossa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis de la Ossa. 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 Luis de la Ossa. The network helps show where Luis de la Ossa may publish in the future.

Co-authorship network of co-authors of Luis de la Ossa

This figure shows the co-authorship network connecting the top 25 collaborators of Luis de la Ossa. A scholar is included among the top collaborators of Luis de la Ossa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luis de la Ossa. Luis de la Ossa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 22
3 16
4 22
5 30
6 14
7 8
8 29
9 20
10 3
11
Una Experiencia de Coordinación Docente en Ingeniería Informática
1
12 27
13 120
14
SUPPORTING INTELLIGENT SYSTEMS TEACHING BY MEANS OF COMPUTER GAMES PROGRAMMING
2
15 1
16 1
17 4
18 12
19 13
20 6

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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2026