David Martínez

3.9k citations
96 papers · 2.5k · h-index 24

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Semantic Web and Ontologies
    • Speech and dialogue systems
    • Advanced Text Analysis Techniques
  • Immunology top 10%
    • Immune Cell Function and Interaction

Papers in

    • Topic Modeling 36
    • Natural Language Processing Techniques 36
    • Speech and dialogue systems 11
    • Semantic Web and Ontologies 11
    • Text Readability and Simplification 5
    • Advanced Text Analysis Techniques 5
    • Biomedical Text Mining and Ontologies 33

David Martínez

93 papers receiving 2.3k citations

Peers

David Martínez
Comparison fields: 5 of 154
  • Artificial Intelligence 1.2k
  • Immunology 414
  • Health Informatics 25
  • Health Information Management 74
  • Oncology 348
Replace Xinghua Lu with:
Xinghua Lu United States
Zhihao Yang China
Neil J. Savage United States
Stephanie O. M. Dyke Canada
Johanna R. McEntyre United Kingdom
Michael Lebowitz United States
Michal Kouril United States
Vincent A. Fusaro United States
Víctor Maojo Spain
John C Shon United States
David Martínez relative to Xinghua Lu United States Xinghua Lu's profile →
Citations per field
00.5×1.5×2×2.4×
Xinghua Lu · 1×
Citations per year

Countries citing papers authored by David Martínez

Since Specialization
Citations

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

Fields of papers citing papers by David Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Martínez, 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 Martínez Line = papers co-authored together David Martínez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997564
2 2013216
3 2011166
4 2014114
5 2014110
6 200961
7 200158
8 199750
9
Improving Parsing and PP Attachment Performance with Sense Information
200850
10 200748
11
Unsupervised WSD based on Automatically Retrieved Examples: The Importance of Bias
200447
12 201643
13 201140
14 201040
15 201435
16 200834
17 200033
18 202032
19 200630
20 201630

About David Martínez

David Martínez is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Information Systems and Management and Statistics, Probability and Uncertainty, having authored 96 papers that have together received 2.5k indexed citations. Recurring topics across this work include Topic Modeling (36 papers), Natural Language Processing Techniques (36 papers), Biomedical Text Mining and Ontologies (33 papers), Speech and dialogue systems (11 papers), Semantic Web and Ontologies (11 papers), Text Readability and Simplification (5 papers), Advanced Text Analysis Techniques (5 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Immunology (414 citations), Health Informatics (25 citations), Health Information Management (74 citations) and Oncology (348 citations). David Martínez has collaborated with scholars based in Australia, Spain and United States. Frequent co-authors include Eneko Agirre, Lawrence Cavedon, J.A. Martos, Manuel Moreno, Antonio Colmenarejo, J Pérez-Piqueras, Santiago Coca, Carmen Vallejo, Miguel Angel Saez and Timothy J. Baldwin. Their work appears in journals such as Journal of Biomedical Informatics, BMC Bioinformatics, BMC Medical Informatics and Decision Making, Communications of the ACM and Clinical Gastroenterology and Hepatology.

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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