José M. Benítez
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 0.5%
- Signal Processing top 0.5%
- Management Science and Operations Research top 1%
- Co-authors
- Christoph BergmeirFrancisco HerreraJuan Luis CastroSara del RíoVictoria LópezSergio Ramírez‐GallegoSalvador GarcíaVerónica Bolón‐Canedo
- Topics
- Neural Networks and Applications (22 papers)Fuzzy Logic and Control Systems (18 papers)Machine Learning and Data Classification (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsMedicine & Science in Sports & Exercise
- Partner nations
- SpainBelgiumUnited Kingdom
In The Last Decade
José M. Benítez
115 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Artificial Intelligence 2.6k
- Computer Vision and Pattern Recognition 879
- Information Systems 806
- Signal Processing 780
- Management Science and Operations Research 634
Countries citing papers authored by José M. Benítez
This map shows the geographic impact of José M. Benítez'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 M. Benítez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José M. Benítez more than expected).
Fields of papers citing papers by José M. Benítez
This network shows the impact of papers produced by José M. Benítez. 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 M. Benítez. The network helps show where José M. Benítez may publish in the future.
Co-authorship network of co-authors of José M. Benítez
This figure shows the co-authorship network connecting the top 25 collaborators of José M. Benítez. A scholar is included among the top collaborators of José M. Benítez 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 José M. Benítez. José M. Benítez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | Data Mining definition services in Cloud Computing with Linked Data. | 1 |
| 9 | 59 | |
| 10 | 18 | |
| 11 | 27 | |
| 12 | Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS | 26 |
| 13 | 37 | |
| 14 | 24 | |
| 15 | Convergence Forces: The Slow March toward Homogeneity, or De Facto Standardization? | 1 |
| 16 | 95 | |
| 17 | Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III | 1 |
| 18 | 17 | |
| 19 | Distributed Genetic Tuning of Fuzzy Rule-Based Systems | 1 |
| 20 | Applying Fuzzy Logic to Operations Management Research. | 1 |
About José M. Benítez
José M. Benítez is a scholar working on Signal Processing, Artificial Intelligence and Management Science and Operations Research, having authored 119 papers that have together received 5.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (22 papers), Fuzzy Logic and Control Systems (18 papers) and Machine Learning and Data Classification (13 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Signal Processing (780 citations) and Management Science and Operations Research (634 citations). José M. Benítez has collaborated with scholars based in Spain, Belgium and United Kingdom. Frequent co-authors include Christoph Bergmeir, Francisco Herrera, Juan Luis Castro, Sara del Río, Victoria López, Sergio Ramírez‐Gallego, Salvador García, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos and Ignacio Requena. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Medicine & Science in Sports & Exercise.
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.