Jesús Peral
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
- Management Information Systems top 10%
- Big Data and Business Intelligence
Papers in
-
- Natural Language Processing Techniques 25
- Topic Modeling 19
- Semantic Web and Ontologies 12
- Speech and dialogue systems 8
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- Data Mining Algorithms and Applications 5
- Co-authors
- Antonio Ferrández (44 shared papers)David Gil (19 shared papers)Higinio Mora (8 shared papers)Ricardo Sellers Rubio (3 shared papers)Alejandro Maté (10 shared papers)Juan Trujillo (8 shared papers)Manuel Palomar (4 shared papers)Patricio Martínez-Barco (5 shared papers)
- Journals
- IEEE Access (3 papers)Electronics (3 papers)Computer Standards & Interfaces (3 papers)Sustainability (2 papers)Ecological Informatics (2 papers)
- Partner nations
- SpainCosta RicaIran
In The Last Decade
Jesús Peral
60 papers receiving 844 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 429
- Management Information Systems 93
- Information Systems 210
- Computer Science Applications 41
- Computer Networks and Communications 157
Countries citing papers authored by Jesús Peral
This map shows the geographic impact of Jesús Peral'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 Jesús Peral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús Peral more than expected).
Fields of papers citing papers by Jesús Peral
This network shows the impact of papers produced by Jesús Peral. 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 Jesús Peral. The network helps show where Jesús Peral may publish in the future.
Co-authors
The 25 scholars most cited alongside Jesús Peral, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 176 | |
| 2 | 2016 | 164 | |
| 3 | 2019 | 72 | |
| 4 | 2001 | 47 | |
| 5 | 2000 | 46 | |
| 6 | 2016 | 42 | |
| 7 | 2019 | 31 | |
| 8 | 2016 | 30 | |
| 9 | 2006 | 23 | |
| 10 | 2016 | 22 | |
| 11 | 2020 | 19 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 15 | |
| 14 | 2017 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 1999 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2007 | 11 | |
| 20 | 2020 | 10 |
About Jesús Peral
Jesús Peral is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Cognitive Neuroscience, having authored 67 papers that have together received 924 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (25 papers), Topic Modeling (19 papers), Semantic Web and Ontologies (12 papers), Speech and dialogue systems (8 papers), Data Quality and Management (6 papers), Autism Spectrum Disorder Research (5 papers), Data Mining Algorithms and Applications (5 papers) and Big Data and Business Intelligence (4 papers). The work is most often cited by research in Artificial Intelligence (429 citations), Management Information Systems (93 citations), Information Systems (210 citations), Computer Science Applications (41 citations) and Computer Networks and Communications (157 citations). Jesús Peral has collaborated with scholars based in Spain, Costa Rica and Iran. Frequent co-authors include Antonio Ferrández, David Gil, Higinio Mora, Ricardo Sellers Rubio, Alejandro Maté, Juan Trujillo, Manuel Palomar, Patricio Martínez-Barco, Sandra Roger and Rafael Muñoz. Their work appears in journals such as IEEE Access, Electronics, Computer Standards & Interfaces, Sustainability and Ecological Informatics.
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.