Gustavo Aguilar

10 papers and 193 indexed citations i.

About

Gustavo Aguilar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gustavo Aguilar has authored 10 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gustavo Aguilar’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Text Readability and Simplification (3 papers). Gustavo Aguilar is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Text Readability and Simplification (3 papers). Gustavo Aguilar collaborates with scholars based in United States, Norway and Germany. Gustavo Aguilar's co-authors include Thamar Solorio, Benjamin Yao, Ling Yuan, Chenlei Guo, Yu Zhang, Xing Fan, Amitava Das, Tanmoy Chakraborty, Srinivas Pykl and Parth Patwa and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Gustavo Aguilar i

Fields of papers citing papers by Gustavo Aguilar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gustavo Aguilar

Since Specialization
Citations

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