José Ramón Quevedo
- Artificial Intelligence top 5%
- Machine Learning and Data Classification 11
- Text and Document Classification Technologies 8
- Machine Learning and Algorithms 5
- Metaheuristic Optimization Algorithms Research 4
- Animal Science and Zoology top 10%
- Information Systems top 10%
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- Spectroscopy and Chemometric Analyses 4
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- Genetic and phenotypic traits in livestock 6
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- Advanced Chemical Sensor Technologies 4
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- Vehicle Routing Optimization Methods 4
- Co-authors
- Juan José del CozElena MontañésOscar LuacesAntonio BahamondeRobin SengeJosé Barranquero TolosaEyke HüllermeierJorge Díez
- Journals
- SHILAP Revista de lepidopterología (1 paper)Trends in Food Science & Technology (2 papers)Expert Systems with Applications (2 papers)
- Partner nations
- SpainUnited StatesColombia
In The Last Decade
José Ramón Quevedo
46 papers receiving 562 citations
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 304
- Animal Science and Zoology 55
- Information Systems 102
- Computer Vision and Pattern Recognition 85
- Analytical Chemistry 33
Countries citing papers authored by José Ramón Quevedo
This map shows the geographic impact of José Ramón Quevedo'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 José Ramón Quevedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Ramón Quevedo more than expected).
Fields of papers citing papers by José Ramón Quevedo
This network shows the impact of papers produced by José Ramón Quevedo. 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 José Ramón Quevedo. The network helps show where José Ramón Quevedo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside José Ramón Quevedo, 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 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 2 | |
| 7 | 2018 | 36 | |
| 8 | Using A* for inference in probabilistic classifier chains | 2015 | 4 |
| 9 | Determinación de factores de enriquecimiento e índices de geoacumulación de plomo, cadmio y níquel en suelos agrícolas del sector San Alfonso en Machachi | 2014 | 1 |
| 10 | 2014 | 9 | |
| 11 | 2013 | 9 | |
| 12 | 2011 | 6 | |
| 13 | 2010 | 1 | |
| 14 | 2010 | 2 | |
| 15 | Collaborative tag recommendation system based on logistic regression | 2009 | 6 |
| 16 | Obtaining Rubric Weights for Assessments by More than One Lecturer Using a Pairwise Learning Model. | 2009 | 5 |
| 17 | 2009 | 1 | |
| 18 | Prediction of probability of survival in critically ill patients optimizing the area under the ROC curve | 2007 | 5 |
| 19 | 2007 | 18 | |
| 20 | 2001 | 25 |
About José Ramón Quevedo
José Ramón Quevedo is a scholar working on Artificial Intelligence, Analytical Chemistry and Small Animals, having authored 46 papers that have together received 600 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (11 papers), Text and Document Classification Technologies (8 papers), Genetic and phenotypic traits in livestock (6 papers), Machine Learning and Algorithms (5 papers), Advanced Chemical Sensor Technologies (4 papers), Vehicle Routing Optimization Methods (4 papers), Spectroscopy and Chemometric Analyses (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Artificial Intelligence (304 citations), Animal Science and Zoology (55 citations) and Information Systems (102 citations). José Ramón Quevedo has collaborated with scholars based in Spain, United States and Colombia. Frequent co-authors include Juan José del Coz, Elena Montañés, Oscar Luaces, Antonio Bahamonde, Robin Senge, José Barranquero Tolosa, Eyke Hüllermeier, Jorge Díez, Jaime Alonso and F. Goyache. Their work appears in journals such as SHILAP Revista de lepidopterología, Trends in Food Science & Technology and Expert Systems with Applications.
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.