Harr Chen
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Sentiment Analysis and Opinion Mining
- AI-based Problem Solving and Planning
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
Papers in
-
- Topic Modeling 5
- Natural Language Processing Techniques 3
- Bayesian Methods and Mixture Models 2
- Sentiment Analysis and Opinion Mining 2
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- Data Quality and Management 4
- Co-authors
- David R. Karger (3 shared papers)Regina Barzilay (7 shared papers)S. R. K. Branavan (5 shared papers)Luke Zettlemoyer (1 shared paper)Tahira Naseem (2 shared papers)Mark S. Johnson (1 shared paper)Tapan S. Parikh (4 shared papers)Kuang Chen (4 shared papers)
- Journals
- Journal of Artificial Intelligence Research (2 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (2 papers)International Conference on Information and Communication Technologies and Development (ICTD) (1 paper)
- Partner nations
- United StatesAustraliaIreland
In The Last Decade
Harr Chen
15 papers receiving 716 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 420
- Information Systems 251
- Management Science and Operations Research 36
- Computer Vision and Pattern Recognition 47
- General Social Sciences 8
Countries citing papers authored by Harr Chen
This map shows the geographic impact of Harr Chen'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 Harr Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harr Chen more than expected).
Fields of papers citing papers by Harr Chen
This network shows the impact of papers produced by Harr Chen. 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 Harr Chen. The network helps show where Harr Chen may publish in the future.
Co-authors
The 17 scholars most cited alongside Harr Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 246 | |
| 2 | 2009 | 169 | |
| 3 | Using Universal Linguistic Knowledge to Guide Grammar Induction | 2010 | 94 |
| 4 | 2009 | 51 | |
| 5 | 2009 | 36 | |
| 6 | 2011 | 35 | |
| 7 | 2009 | 26 | |
| 8 | 2014 | 23 | |
| 9 | 2010 | 21 | |
| 10 | 2009 | 19 | |
| 11 | In-domain Relation Discovery with Meta-constraints via Posterior Regularization | 2011 | 17 |
| 12 | 2009 | 5 | |
| 13 | 2004 | 4 | |
| 14 | 2016 | 4 | |
| 15 | Preferences in college applications - a nonparametric Bayesian analysis of top-10 rankings | 2010 | 1 |
About Harr Chen
Harr Chen is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Science Applications, Information Systems and Sociology and Political Science, having authored 15 papers that have together received 751 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Data Quality and Management (4 papers), Natural Language Processing Techniques (3 papers), Bayesian Methods and Mixture Models (2 papers), Information Retrieval and Search Behavior (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Survey Methodology and Nonresponse (2 papers). The work is most often cited by research in Artificial Intelligence (420 citations), Information Systems (251 citations), Management Science and Operations Research (36 citations), Computer Vision and Pattern Recognition (47 citations) and General Social Sciences (8 citations). Harr Chen has collaborated with scholars based in United States, Australia and Ireland. Frequent co-authors include David R. Karger, Regina Barzilay, S. R. K. Branavan, Luke Zettlemoyer, Tahira Naseem, Mark S. Johnson, Tapan S. Parikh, Kuang Chen, Jacob Eisenstein and Joseph M. Hellerstein. Their work appears in journals such as Journal of Artificial Intelligence Research, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) and International Conference on Information and Communication Technologies and Development (ICTD).
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.