Aaron Gokaslan

10 papers and 124 indexed citations i.

About

Aaron Gokaslan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Aaron Gokaslan has authored 10 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Aaron Gokaslan’s work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Human Pose and Action Recognition (2 papers). Aaron Gokaslan is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Human Pose and Action Recognition (2 papers). Aaron Gokaslan collaborates with scholars based in United States, Canada and Israel. Aaron Gokaslan's co-authors include Dhruv Batra, Stefan Lee, Oleksandr Maksymets, Erik Wijmans, Wojciech Galuba, Manolis Savva, Vincent Cartillier, Devendra Singh Chaplot, Santhosh Kumar Ramakrishnan and Abhishek Kadian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Aaron Gokaslan i

Fields of papers citing papers by Aaron Gokaslan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aaron Gokaslan

Since Specialization
Citations

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