Craig Harman

32 total papers · 1.9k total citations
15 papers, 1.1k citations indexed

About

Craig Harman is a scholar working on Artificial Intelligence, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Craig Harman has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Social Psychology and 3 papers in Sociology and Political Science. Recurrent topics in Craig Harman's work include Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Speech Recognition and Synthesis (4 papers). Craig Harman is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Speech Recognition and Synthesis (4 papers). Craig Harman collaborates with scholars based in United States, Canada and United Kingdom. Craig Harman's co-authors include Mark Dredze, Glen Coppersmith, Kristy Hollingshead, Margaret Mitchell, Benjamin Van Durme, Kyle Rawlins, Francis Ferraro, Richard Levinson, Rachel Rudinger and Joseph Modayil and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, National Conference on Artificial Intelligence and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Craig Harman

12 papers receiving 1.0k citations

Hit Papers

Quantifying Mental Health... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Craig Harman 830 623 396 206 188 15 1.1k
Patrick Crutchley 552 0.7× 287 0.5× 355 0.9× 252 1.2× 182 1.0× 15 1.0k
Kristy Hollingshead 545 0.7× 623 1.0× 254 0.6× 180 0.9× 79 0.4× 27 1.1k
Sai-fu Fung 282 0.3× 308 0.5× 151 0.4× 96 0.5× 121 0.6× 35 932
Doğan Can 178 0.2× 636 1.0× 111 0.3× 85 0.4× 93 0.5× 28 921
Adam S. Miner 375 0.5× 535 0.9× 565 1.4× 205 1.0× 296 1.6× 25 1.4k
Gokul Chittaranjan 120 0.1× 218 0.3× 171 0.4× 274 1.3× 201 1.1× 11 913
Scott H. Burton 216 0.3× 187 0.3× 125 0.3× 55 0.3× 420 2.2× 18 1.1k
Christopher Jones 228 0.3× 147 0.2× 95 0.2× 188 0.9× 666 3.5× 21 1.1k
Verónica Pérez‐Rosas 525 0.6× 739 1.2× 85 0.2× 144 0.7× 283 1.5× 48 1.4k
Bence Bagó 158 0.2× 190 0.3× 129 0.3× 79 0.4× 661 3.5× 29 1.3k

Countries citing papers authored by Craig Harman

Since Specialization
Citations

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

Fields of papers citing papers by Craig Harman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Harman

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Harman. A scholar is included among the top collaborators of Craig Harman 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 Craig Harman. Craig Harman 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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