Jesús Peral
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Management Information Systems top 10%
- Big Data and Business Intelligence
Papers in ⓘ
-
- Natural Language Processing Techniques 13
- Topic Modeling 11
- Semantic Web and Ontologies 10
- Text Readability and Simplification 4
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- Hand Gesture Recognition Systems 3
- Co-authors
- Antonio Ferrández (31 shared papers)David Gil (13 shared papers)Higinio Mora (7 shared papers)Ricardo Sellers Rubio (2 shared papers)Alejandro Maté (7 shared papers)Juan Trujillo (7 shared papers)Manuel Palomar (4 shared papers)Patricio Martínez-Barco (4 shared papers)
- Journals
- Electronics (3 papers)Computer Standards & Interfaces (3 papers)IEEE Access (3 papers)PeerJ Computer Science (2 papers)Sensors (2 papers)
- Partner nations
- SpainCosta RicaPoland
In The Last Decade
Jesús Peral
40 papers receiving 647 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 306
- Management Information Systems 72
- Information Systems 168
- Computer Science Applications 28
- Computer Networks and Communications 116
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 153 | |
| 2 | 2016 | 132 | |
| 3 | 2019 | 63 | |
| 4 | 2000 | 41 | |
| 5 | 2016 | 39 | |
| 6 | 2001 | 33 | |
| 7 | 2016 | 29 | |
| 8 | 2019 | 25 | |
| 9 | 2016 | 19 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2018 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2003 | 8 | |
| 19 | 1999 | 8 | |
| 20 | 2024 | 7 |
About Jesús Peral
Jesús Peral is a scholar working on Artificial Intelligence, Human-Computer Interaction, Management Science and Operations Research, Information Systems and Computer Networks and Communications, having authored 44 papers that have together received 701 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers), Semantic Web and Ontologies (10 papers), Data Quality and Management (5 papers), Advanced Database Systems and Queries (4 papers), Text Readability and Simplification (4 papers), Data Mining Algorithms and Applications (4 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Artificial Intelligence (306 citations), Management Information Systems (72 citations), Information Systems (168 citations), Computer Science Applications (28 citations) and Computer Networks and Communications (116 citations). Jesús Peral has collaborated with scholars based in Spain, Costa Rica and Poland. Frequent co-authors include Antonio Ferrández, David Gil, Higinio Mora, Ricardo Sellers Rubio, Alejandro Maté, Juan Trujillo, Manuel Palomar, Patricio Martínez-Barco, Mario Peña Chacón and Rafael Muñoz. Their work appears in journals such as Electronics, Computer Standards & Interfaces, IEEE Access, PeerJ Computer Science and Sensors.
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.