Jesús Vilares

153 total papers · 1.0k total citations
48 papers, 318 citations indexed

About

Jesús Vilares is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Jesús Vilares has authored 48 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 11 papers in Information Systems and 4 papers in Computational Theory and Mathematics. Recurrent topics in Jesús Vilares's work include Natural Language Processing Techniques (30 papers), Topic Modeling (17 papers) and Speech and dialogue systems (8 papers). Jesús Vilares is often cited by papers focused on Natural Language Processing Techniques (30 papers), Topic Modeling (17 papers) and Speech and dialogue systems (8 papers). Jesús Vilares collaborates with scholars based in Spain, France and Austria. Jesús Vilares's co-authors include Miguel Á. Alonso, Carlos Gómez‐Rodríguez, David Vilares, John Tait, Fotis Lazarinis, Efthimis N. Efthimiadis, Éric Villemonte de la Clergerie, Michael Oakes, Manuel Vilares Ferro and Milagros Fernández‐Gavilanes and has published in prestigious journals such as Expert Systems with Applications, Applied Sciences and Information Processing & Management.

In The Last Decade

Jesús Vilares

43 papers receiving 277 citations

Hit Papers

Sentiment Analysis for Fa... 2021 2026 2022 2024 2021 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jesús Vilares 232 143 117 22 14 48 318
John Cardiff 183 0.8× 102 0.7× 121 1.0× 28 1.3× 19 1.4× 41 324
Celso G. Camilo-Junior 103 0.4× 140 1.0× 60 0.5× 22 1.0× 11 0.8× 37 307
Rim Faïz 239 1.0× 130 0.9× 38 0.3× 12 0.5× 9 0.6× 61 303
Indrajit Bhattacharya 213 0.9× 81 0.6× 36 0.3× 13 0.6× 10 0.7× 26 295
Mohammad Hadi Sadreddini 163 0.7× 161 1.1× 61 0.5× 53 2.4× 12 0.9× 30 283
Ingo Frommholz 193 0.8× 117 0.8× 30 0.3× 22 1.0× 18 1.3× 56 305
Shangbin Feng 150 0.6× 111 0.8× 67 0.6× 53 2.4× 5 0.4× 28 294
Adrian Brașoveanu 204 0.9× 61 0.4× 53 0.5× 29 1.3× 12 0.9× 44 362
Faiçal Azouaou 297 1.3× 80 0.6× 29 0.2× 13 0.6× 15 1.1× 28 358
Ida Mele 130 0.6× 84 0.6× 48 0.4× 24 1.1× 6 0.4× 30 248

Countries citing papers authored by Jesús Vilares

Since Specialization
Citations

This map shows the geographic impact of Jesús Vilares'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 Vilares with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús Vilares more than expected).

Fields of papers citing papers by Jesús Vilares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesús Vilares. 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 Vilares. The network helps show where Jesús Vilares may publish in the future.

Co-authorship network of co-authors of Jesús Vilares

This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Vilares. A scholar is included among the top collaborators of Jesús Vilares 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 Jesús Vilares. Jesús Vilares is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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