David Pinto

77 papers and 737 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 737 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 Ireland. David Pinto's co-authors include Vivek Kumar Singh, Helena Gómez-Adorno, Paolo Rosso, Grigori Sidorov and Andrew McCallum and has published in prestigious journals such as Sensors, Pattern Recognition Letters and Scientometrics.

In The Last Decade

Fields of papers citing papers by David Pinto

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by David Pinto. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025