John Hewitt

14 papers and 630 indexed citations i.

About

John Hewitt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, John Hewitt has authored 14 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in John Hewitt’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (4 papers). John Hewitt is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (4 papers). John Hewitt collaborates with scholars based in United States, France and Germany. John Hewitt's co-authors include Percy Liang, Christopher D. Manning, Omer Levy, Urvashi Khandelwal, Kevin Clark, Ashwin Paranjape, Nelson F. Liu, Fabio Petroni, Kevin Lin and Michele Bevilacqua and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Transactions of the Association for Computational Linguistics and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of John Hewitt i

Fields of papers citing papers by John Hewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Hewitt

Since Specialization
Citations

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