David Martínez

152 total papers · 3.9k total citations
93 papers, 2.1k citations indexed

About

David Martínez is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, David Martínez has authored 93 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 37 papers in Molecular Biology and 7 papers in Information Systems. Recurrent topics in David Martínez's work include Topic Modeling (43 papers), Natural Language Processing Techniques (41 papers) and Biomedical Text Mining and Ontologies (34 papers). David Martínez is often cited by papers focused on Topic Modeling (43 papers), Natural Language Processing Techniques (41 papers) and Biomedical Text Mining and Ontologies (34 papers). David Martínez collaborates with scholars based in Australia, Spain and United States. David Martínez's co-authors include Eneko Agirre, Lawrence Cavedon, J Pérez-Piqueras, J.A. Martos, Santiago Coca, Carmen Vallejo, A. Colmenarejo, Miguel A. Sáez, Manuel Moreno and Timothy Baldwin and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and Cancer.

In The Last Decade

David Martínez

90 papers receiving 2.0k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
David Martínez 1.1k 611 420 367 202 93 2.1k
Xinghua Lu 421 0.4× 1.3k 2.1× 167 0.4× 381 1.0× 63 0.3× 150 2.4k
Barend Mons 514 0.5× 1.1k 1.8× 314 0.7× 86 0.2× 449 2.2× 108 2.7k
Michael Lebowitz 901 0.8× 368 0.6× 226 0.5× 97 0.3× 158 0.8× 70 1.9k
David Gilbert 445 0.4× 2.0k 3.3× 67 0.2× 147 0.4× 113 0.6× 98 2.9k
Peng Xu 218 0.2× 757 1.2× 82 0.2× 277 0.8× 42 0.2× 73 3.0k
Alexander Aliper 205 0.2× 1.4k 2.4× 225 0.5× 185 0.5× 209 1.0× 57 3.0k
Anitha Kannan 374 0.3× 612 1.0× 404 1.0× 146 0.4× 270 1.3× 50 1.8k
Salvatore Ruggieri 1.3k 1.2× 300 0.5× 91 0.2× 84 0.2× 432 2.1× 122 2.6k
Vincent Ferretti 231 0.2× 1.5k 2.5× 262 0.6× 393 1.1× 65 0.3× 42 2.8k
Xiaoliang Chen 436 0.4× 1.4k 2.3× 78 0.2× 154 0.4× 141 0.7× 206 2.9k

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-authorship network of co-authors of David Martínez

This figure shows the co-authorship network connecting the top 25 collaborators of David Martínez. A scholar is included among the top collaborators of David Martínez 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 David Martínez. David Martínez 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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