María Leonor Pacheco

12 papers and 77 indexed citations i.

About

María Leonor Pacheco is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, María Leonor Pacheco has authored 12 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 4 papers in Information Systems. Recurrent topics in María Leonor Pacheco’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Advanced Malware Detection Techniques (2 papers). María Leonor Pacheco is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Advanced Malware Detection Techniques (2 papers). María Leonor Pacheco collaborates with scholars based in United States, Austria and Mexico. María Leonor Pacheco's co-authors include Dan Goldwasser, Cristina Nita-Rotaru, Kelwin Fernandes, Nikhil Mehta, Max von Hippel, Samuel Jero, Xiao Zhang, Ming Yin, Kristen Johnson and Lyle Ungar and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of María Leonor Pacheco i

Fields of papers citing papers by María Leonor Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Leonor Pacheco. 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 María Leonor Pacheco. The network helps show where María Leonor Pacheco may publish in the future.

Countries citing papers authored by María Leonor Pacheco

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025