Oscar Luaces
Impact in
- Artificial Intelligence top 5%
- Text and Document Classification Technologies
- Machine Learning and Data Classification
- Computer Science Applications top 10%
Papers in
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- Text and Document Classification Technologies 5
- Machine Learning and Data Classification 5
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- Recommender Systems and Techniques 5
- Educational Technology and Assessment 4
- Co-authors
- Antonio Bahamonde (34 shared papers)Jorge Díez (26 shared papers)Juan José del Coz (15 shared papers)José Ramón Quevedo (12 shared papers)José Barranquero Tolosa (1 shared paper)Jaime Alonso (6 shared papers)F. Goyache (5 shared papers)José Ranilla (5 shared papers)
- Journals
- Information Sciences (4 papers)Expert Systems with Applications (3 papers)Knowledge-Based Systems (2 papers)Trends in Food Science & Technology (2 papers)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- SpainUnited StatesChina
In The Last Decade
Oscar Luaces
38 papers receiving 680 citations
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 322
- Computer Science Applications 42
- Computer Vision and Pattern Recognition 150
- Information Systems 164
- Animal Science and Zoology 52
Countries citing papers authored by Oscar Luaces
This map shows the geographic impact of Oscar Luaces'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 Oscar Luaces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oscar Luaces more than expected).
Fields of papers citing papers by Oscar Luaces
This network shows the impact of papers produced by Oscar Luaces. 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 Oscar Luaces. The network helps show where Oscar Luaces may publish in the future.
Co-authors
The 25 scholars most cited alongside Oscar Luaces, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 152 | |
| 2 | 2001 | 62 | |
| 3 | 2011 | 56 | |
| 4 | 2017 | 43 | |
| 5 | 2004 | 33 | |
| 6 | 2018 | 27 | |
| 7 | 2001 | 25 | |
| 8 | 2020 | 22 | |
| 9 | 2007 | 22 | |
| 10 | 2015 | 20 | |
| 11 | 2003 | 19 | |
| 12 | 2011 | 19 | |
| 13 | 2006 | 17 | |
| 14 | 2016 | 16 | |
| 15 | 2007 | 15 | |
| 16 | Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM | 2004 | 13 |
| 17 | 2018 | 13 | |
| 18 | 2017 | 13 | |
| 19 | 2009 | 12 | |
| 20 | 2016 | 12 |
About Oscar Luaces
Oscar Luaces is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Genetics and Molecular Biology, having authored 40 papers that have together received 713 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (5 papers), Sensory Analysis and Statistical Methods (5 papers), Machine Learning and Data Classification (5 papers), Recommender Systems and Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers), Genetic and phenotypic traits in livestock (4 papers), Educational Technology and Assessment (4 papers) and Meat and Animal Product Quality (4 papers). The work is most often cited by research in Artificial Intelligence (322 citations), Computer Science Applications (42 citations), Computer Vision and Pattern Recognition (150 citations), Information Systems (164 citations) and Animal Science and Zoology (52 citations). Oscar Luaces has collaborated with scholars based in Spain, United States and China. Frequent co-authors include Antonio Bahamonde, Jorge Díez, Juan José del Coz, José Ramón Quevedo, José Barranquero Tolosa, Jaime Alonso, F. Goyache, José Ranilla, Zhezhou Yu and Shuchao Pang. Their work appears in journals such as Information Sciences, Expert Systems with Applications, Knowledge-Based Systems, Trends in Food Science & Technology and Artificial Intelligence in Medicine.
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.