David Pinto

77 papers and 747 indexed citations i.

About

David Pinto is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, David Pinto has authored 77 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 21 papers in Information Systems and 4 papers in Molecular Biology. Recurrent topics in David Pinto’s work include Topic Modeling (44 papers), Natural Language Processing Techniques (35 papers) and Advanced Text Analysis Techniques (19 papers). David Pinto is often cited by papers focused on Topic Modeling (44 papers), Natural Language Processing Techniques (35 papers) and Advanced Text Analysis Techniques (19 papers). David Pinto collaborates with scholars based in Mexico, India and Spain. David Pinto's co-authors include Helena Gómez-Adorno, Grigori Sidorov, Alexander Gelbukh, Andrew McCallum, Xing Wei, W. Bruce Croft, Vivek Kumar Singh, Paolo Rosso, Ashraf Uddin and Alfons Juan and has published in prestigious journals such as Sensors, Pattern Recognition Letters and Scientometrics.

In The Last Decade

Co-authorship network of co-authors of David Pinto i

Fields of papers citing papers by David Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Pinto

Since Specialization
Citations

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

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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2025