Hal Daumé

138 papers and 6.5k indexed citations i.

About

Hal Daumé is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hal Daumé has authored 138 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Hal Daumé’s work include Topic Modeling (68 papers), Natural Language Processing Techniques (53 papers) and Machine Learning and Algorithms (16 papers). Hal Daumé is often cited by papers focused on Topic Modeling (68 papers), Natural Language Processing Techniques (53 papers) and Machine Learning and Algorithms (16 papers). Hal Daumé collaborates with scholars based in United States, United Kingdom and Canada. Hal Daumé's co-authors include Abhishek Kumar, Daniel Marcu, Piyush Rai, Hanna Wallach, Lucy Vanderwende, Katrin Kirchhoff, Anurag Kumar, Abhishek Sharma, Su Lin Blodgett and Jordan Boyd‐Graber and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of Hal Daumé i

Fields of papers citing papers by Hal Daumé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hal Daumé

Since Specialization
Citations

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