Jack Hessel

29 papers and 630 indexed citations i.

About

Jack Hessel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Jack Hessel has authored 29 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 2 papers in Sociology and Political Science. Recurrent topics in Jack Hessel’s work include Multimodal Machine Learning Applications (16 papers), Topic Modeling (12 papers) and Natural Language Processing Techniques (9 papers). Jack Hessel is often cited by papers focused on Multimodal Machine Learning Applications (16 papers), Topic Modeling (12 papers) and Natural Language Processing Techniques (9 papers). Jack Hessel collaborates with scholars based in United States, South Korea and United Kingdom. Jack Hessel's co-authors include Yejin Choi, Ronan Le Bras, Ari Holtzman, Maxwell Forbes, Lillian Lee, Ximing Lu, Liwei Jiang, Youngjae Yu, Jena D. Hwang and Peter West and has published in prestigious journals such as Journal of Reproductive Immunology, Nature Machine Intelligence and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Jack Hessel i

Fields of papers citing papers by Jack Hessel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jack Hessel

Since Specialization
Citations

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