Ignacio Requena
Impact in
- Speech and Hearing top 5%
- Noise Effects and Management
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- Environmental and Social Impact Assessments
Papers in
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- Fuzzy Logic and Control Systems 12
- Neural Networks and Applications 10
- Semantic Web and Ontologies 7
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- Fuzzy Systems and Optimization 5
- Co-authors
- José M. Benítez (1 shared paper)Juan Luis Castro (1 shared paper)Montserrat Zamorano (7 shared papers)Javier Toro (4 shared papers)Óscar Duarte (5 shared papers)Miguel Delgado‐Rodríguez (10 shared papers)Juan José Ortiz (5 shared papers)Armando J. Blanco (8 shared papers)
In The Last Decade
Ignacio Requena
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 160
- Speech and Hearing 96
- Management, Monitoring, Policy and Law 154
- Artificial Intelligence 410
- Management Science and Operations Research 145
- Building and Construction 115
Countries citing papers authored by Ignacio Requena
This map shows the geographic impact of Ignacio Requena'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 Ignacio Requena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Requena more than expected).
Fields of papers citing papers by Ignacio Requena
This network shows the impact of papers produced by Ignacio Requena. 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 Ignacio Requena. The network helps show where Ignacio Requena may publish in the future.
Co-authors
The 25 scholars most cited alongside Ignacio Requena, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 402 | |
| 2 | 2009 | 91 | |
| 3 | 2013 | 79 | |
| 4 | 2011 | 62 | |
| 5 | 2010 | 59 | |
| 6 | 1994 | 55 | |
| 7 | 1995 | 50 | |
| 8 | 2004 | 36 | |
| 9 | 2010 | 34 | |
| 10 | 1995 | 34 | |
| 11 | 2010 | 33 | |
| 12 | 2004 | 28 | |
| 13 | 1991 | 28 | |
| 14 | 2003 | 21 | |
| 15 | 2007 | 19 | |
| 16 | 1983 | 18 | |
| 17 | 1990 | 17 | |
| 18 | 1985 | 16 | |
| 19 | 2009 | 16 | |
| 20 | 1995 | 15 |
About Ignacio Requena
Ignacio Requena is a scholar working on Artificial Intelligence, Statistics and Probability, Management, Monitoring, Policy and Law, Speech and Hearing and Control and Systems Engineering, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (12 papers), Neural Networks and Applications (10 papers), Semantic Web and Ontologies (7 papers), Fuzzy Systems and Optimization (5 papers), Fault Detection and Control Systems (5 papers), Environmental and Social Impact Assessments (5 papers), Nuclear reactor physics and engineering (5 papers) and Service-Oriented Architecture and Web Services (4 papers). The work is most often cited by research in Speech and Hearing (96 citations), Management, Monitoring, Policy and Law (154 citations), Artificial Intelligence (410 citations), Management Science and Operations Research (145 citations) and Building and Construction (115 citations). Ignacio Requena has collaborated with scholars based in Spain, Colombia and Mexico. Frequent co-authors include José M. Benítez, Juan Luis Castro, Montserrat Zamorano, Javier Toro, Óscar Duarte, Miguel Delgado‐Rodríguez, Juan José Ortiz, Armando J. Blanco, Julián Garrido Sánchez and José Luís Verdegay. Their work appears in journals such as Fuzzy Sets and Systems, Environmental Impact Assessment Review, Forensic Science International, International Journal of Intelligent Systems and Nuclear Science and Engineering.
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.