Craig Harman

1.9k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Craig Harman is a scholar working on Artificial Intelligence, Social Psychology and Signal Processing. 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 Signal Processing. Recurrent topics in Craig Harman's work include Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Mental Health via Writing (4 papers). Craig Harman is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Mental Health via Writing (4 papers). Craig Harman collaborates with scholars based in United States, United Kingdom and Canada. Craig Harman's co-authors include Glen Coppersmith, Mark Dredze, Kristy Hollingshead, Margaret Mitchell, Benjamin Van Durme, Kyle Rawlins, Rachel Rudinger, Richard Levinson, Francis Ferraro 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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quantifying Mental Health Signals in Twitter

2014 427 citations Glen Coppersmith, Mark Dredze et al. profile →

Peers

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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15 of 15 papers shown

#	Work	Indexed citations
1	LOME: Large Ontology Multilingual Extraction 2021 ·Patrick Xia, Guanghui Qin, (unknown), (unknown), Tongfei Chen, (unknown), Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme	11
2	Low-Resource Contextual Topic Identification on Speech 2018 ·Chunxi Liu, Matthew Wiesner, Shinji Watanabe, Craig Harman, Jan Trmal, Najim Dehak, Sanjeev Khudanpur	0
3	Automatic Speech Recognition and Topic Identification from Speech for Almost-Zero-Resource Languages 2018 ·Matthew Wiesner, Chunxi Liu, (unknown), Craig Harman, Vimal Manohar, Jan Trmal, Zhongqiang Huang, Najim Dehak, Sanjeev Khudanpur	4
4	Topic Identification for Speech Without ASR 2017 ·Chunxi Liu, Jan Trmal, Matthew Wiesner, Craig Harman, Sanjeev Khudanpur	12
5	Vapor Engine 2016 ·Douglas W. Oard, (unknown), Jerome White, Craig Harman	0
6	From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses 2015 ·Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead	201
7	CLPsych 2015 Shared Task: Depression and PTSD on Twitter 2015 ·Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, Margaret Mitchell	202
8	A Concrete Chinese NLP Pipeline 2015 ·Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, (unknown), Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze	3
9	Semantic Proto-Roles 2015 ·Transactions of the Association for Computational Linguistics ·(unknown), Rachel Rudinger, Francis Ferraro, Craig Harman, Kyle Rawlins, Benjamin Van Durme	22
10	Quantifying Mental Health Signals in Twitter breakdown → 2014 ·Glen Coppersmith, Mark Dredze, Craig Harman	427
11	Measuring Post Traumatic Stress Disorder in Twitter 2014 ·Proceedings of the International AAAI Conference on Web and Social Media ·Glen Coppersmith, Craig Harman, Mark Dredze	198
12	I’m a Belieber: Social Roles via Self-identification and Conceptual Attributes 2014 ·(unknown), Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell, Benjamin Van Durme	19
13	Predicting Fine-grained Social Roles with Selectional Preferences 2014 ·(unknown), Craig Harman, Benjamin Van Durme	2
14	Integrating Sensing and Cueing for More Effective Activity Reminders 2008 ·National Conference on Artificial Intelligence ·Joseph Modayil, Richard Levinson, Craig Harman, (unknown), Henry Kautz	20
15	Design and Evaluation of a System for Vision-Based Vehicle Convoying 1998 ·UR Research (University of Rochester) ·R.L. Carceroni, Craig Harman, Christopher K. Eveland, Christopher M. Brown	1

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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