Senén Barro
Impact in
- Artificial Intelligence top 0.5%
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Machine Learning and Data Classification
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- Online Learning and Analytics
Papers in
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- AI-based Problem Solving and Planning 16
- Fuzzy Logic and Control Systems 15
- Neural Networks and Applications 14
- Semantic Web and Ontologies 11
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- Constraint Satisfaction and Optimization 17
- Co-authors
- Manuel Fernández-Delgado (32 shared papers)Eva Cernadas (12 shared papers)Alberto Bugarín (36 shared papers)Roberto Iglesias (18 shared papers)José Mira (12 shared papers)R. Ruı́z (22 shared papers)Carlos V. Regueiro (15 shared papers)J. Presedo (24 shared papers)
In The Last Decade
Senén Barro
130 papers receiving 4.2k citations
Senén Barro's Hit Papers
Peers
Comparison fields: 5 of 202
- Artificial Intelligence 1.6k
- Computer Science Applications 259
- Health Informatics 59
- Signal Processing 342
- Cardiology and Cardiovascular Medicine 452
Countries citing papers authored by Senén Barro
This map shows the geographic impact of Senén Barro'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 Senén Barro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Senén Barro more than expected).
Fields of papers citing papers by Senén Barro
This network shows the impact of papers produced by Senén Barro. 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 Senén Barro. The network helps show where Senén Barro may publish in the future.
Co-authors
The 25 scholars most cited alongside Senén Barro, 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Do we need hundreds of classifiers to solve real world classification problems Hit paper breakdown → | 2014 | 1731 |
| 2 | AI literacy in K-12: a systematic literature review Hit paper breakdown → | 2023 | 298 |
| 3 | 2018 | 252 | |
| 4 | 1989 | 129 | |
| 5 | 1994 | 93 | |
| 6 | 2002 | 90 | |
| 7 | 2000 | 80 | |
| 8 | 1997 | 77 | |
| 9 | 2022 | 74 | |
| 10 | 1994 | 64 | |
| 11 | 2018 | 64 | |
| 12 | People and machines: Partners in innovation | 2019 | 62 |
| 13 | 2014 | 61 | |
| 14 | 2006 | 54 | |
| 15 | 1998 | 52 | |
| 16 | 2015 | 52 | |
| 17 | 2009 | 50 | |
| 18 | 1999 | 47 | |
| 19 | 2013 | 43 | |
| 20 | 2021 | 43 |
About Senén Barro
Senén Barro is a scholar working on Artificial Intelligence, Computer Networks and Communications, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 136 papers that have together received 4.4k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (17 papers), ECG Monitoring and Analysis (17 papers), AI-based Problem Solving and Planning (16 papers), Fuzzy Logic and Control Systems (15 papers), Rough Sets and Fuzzy Logic (14 papers), Neural Networks and Applications (14 papers), Data Management and Algorithms (11 papers) and Semantic Web and Ontologies (11 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Computer Science Applications (259 citations), Health Informatics (59 citations), Signal Processing (342 citations) and Cardiology and Cardiovascular Medicine (452 citations). Senén Barro has collaborated with scholars based in Spain, Chile and Portugal. Frequent co-authors include Manuel Fernández-Delgado, Eva Cernadas, Alberto Bugarín, Roberto Iglesias, José Mira, R. Ruı́z, Carlos V. Regueiro, J. Presedo, Manisha Sirsat and Xosé A. Vila. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems, Neural Computing and Applications, Artificial Intelligence in Medicine and Neural Networks.
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.