David Tomás

1.0k citations
92 papers · 687 · h-index 12

Impact in

Papers in

    • Topic Modeling 25
    • Natural Language Processing Techniques 24
    • Semantic Web and Ontologies 12
    • Speech and dialogue systems 9
    • Sentiment Analysis and Opinion Mining 6
    • Advanced Text Analysis Techniques 6
    • Text and Document Classification Technologies 6

David Tomás

81 papers receiving 588 citations

Peers

David Tomás
Comparison fields: 5 of 99
  • Computer Science Applications 114
  • Artificial Intelligence 347
  • Health Informatics 11
  • Information Systems 142
  • Health Information Management 26
Replace Emma L. Tonkin with:
Emma L. Tonkin United Kingdom
Michael Timms United States
Md. Saifuddin Khalid Denmark
Robert Arp United States
Tom Hope United States
Matthew Berland United States
Ilyas Cicekli Türkiye
Heinz Dreher Australia
Chaitanya Kulkarni India
Tongshuang Wu United States
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Citations per field
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Emma L. Tonkin · 1×
Citations per year

Countries citing papers authored by David Tomás

Since Specialization
Citations

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

Fields of papers citing papers by David Tomás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Tomás, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Tomás Line = papers co-authored together David Tomás links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019161
2 201979
3 201144
4 202225
5 200623
6 199522
7 199520
8 202317
9 198216
10 198814
11 201711
12 201211
13 202410
14 20059
15
A semi-supervised approach to question classification ∗
20098
16 20208
17 20087
18 20077
19 20197
20 19967

About David Tomás

David Tomás is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science and Management Science and Operations Research, having authored 92 papers that have together received 687 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (24 papers), Semantic Web and Ontologies (12 papers), Speech and dialogue systems (9 papers), Data Quality and Management (6 papers), Sentiment Analysis and Opinion Mining (6 papers), Advanced Text Analysis Techniques (6 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Computer Science Applications (114 citations), Artificial Intelligence (347 citations), Health Informatics (11 citations), Information Systems (142 citations) and Health Information Management (26 citations). David Tomás has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Borja Navarro-Colorado, José Luis Vicedo González, Patricio Martínez-Barco, Paloma Moreda, Manuel Palomar, Estela Saquete, José García‐Rodríguez, Rubén Izquierdo, José-Norberto Mazón and Francisco A. Pujol. Their work appears in journals such as Semiotica, Sensors, Visual Anthropology Review, IEEE Access and Complexity.

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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