Joe Barrow

27 total papers · 607 total citations
9 papers, 195 citations indexed

About

Joe Barrow is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Joe Barrow has authored 9 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Joe Barrow's work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (1 paper). Joe Barrow is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (1 paper). Joe Barrow collaborates with scholars based in United States, Germany and China. Joe Barrow's co-authors include Franck Dernoncourt, Ryan A. Rossi, Ruiyi Zhang, Isabel O. Gallegos, Nesreen K. Ahmed, Tong Yu, Md Mehrab Tanjim, Sungchul Kim, Jordan Boyd‐Graber and John P. Lalor and has published in prestigious journals such as Computational Linguistics.

In The Last Decade

Joe Barrow

7 papers receiving 178 citations

Hit Papers

Bias and Fairness in Larg... 2024 2026 2024 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joe Barrow 129 25 20 19 15 9 195
Md Mehrab Tanjim 131 1.0× 78 3.1× 20 1.0× 19 1.0× 16 1.1× 8 218
Ilia Sucholutsky 97 0.8× 15 0.6× 19 0.9× 28 1.5× 13 0.9× 16 196
Kawin Ethayarajh 200 1.6× 30 1.2× 7 0.3× 18 0.9× 11 0.7× 12 244
Yuling Gu 89 0.7× 11 0.4× 16 0.8× 39 2.1× 19 1.3× 12 204
Isabel O. Gallegos 76 0.6× 8 0.3× 20 1.0× 16 0.8× 15 1.0× 6 140
Lizhou Fan 129 1.0× 30 1.2× 24 1.2× 46 2.4× 9 0.6× 16 202
Zheng Zhang 91 0.7× 29 1.2× 6 0.3× 19 1.0× 18 1.2× 12 181
Ashwin Kalyan 146 1.1× 27 1.1× 18 0.9× 12 0.6× 23 1.5× 13 202
Eoin M. Kenny 218 1.7× 15 0.6× 36 1.8× 7 0.4× 31 2.1× 10 262
Zakhar Shumaylov 52 0.4× 9 0.4× 26 1.3× 18 0.9× 32 2.1× 5 178

Countries citing papers authored by Joe Barrow

Since Specialization
Citations

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

Fields of papers citing papers by Joe Barrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Barrow

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Barrow. A scholar is included among the top collaborators of Joe Barrow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joe Barrow. Joe Barrow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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