Harr Chen
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
Papers in
-
- Topic Modeling 5
- Natural Language Processing Techniques 4
- Bayesian Methods and Mixture Models 3
- Advanced Text Analysis Techniques 2
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- Data Mining Algorithms and Applications 2
- Co-authors
- David R. Karger (2 shared papers)Regina Barzilay (5 shared papers)S. R. K. Branavan (3 shared papers)Luke Zettlemoyer (1 shared paper)Tahira Naseem (2 shared papers)Mark Johnson (1 shared paper)Marina Meilă (3 shared papers)Tapan S. Parikh (4 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Arrow@dit (Dublin Institute of Technology) (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (6 papers)Uncertainty in Artificial Intelligence (1 paper)
- Partner nations
- United StatesAustraliaIreland
In The Last Decade
Harr Chen
13 papers receiving 644 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 477
- Information Systems 249
- Signal Processing 84
- Computer Vision and Pattern Recognition 151
- Management Science and Operations Research 83
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 18 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 | 250 | |
| 2 | 2009 | 161 | |
| 3 | Using Universal Linguistic Knowledge to Guide Grammar Induction | 2010 | 88 |
| 4 | 2009 | 47 | |
| 5 | 2011 | 32 | |
| 6 | Dirichlet process mixtures of generalized mallows models | 2010 | 27 |
| 7 | 2014 | 24 | |
| 8 | 2010 | 21 | |
| 9 | 2009 | 19 | |
| 10 | In-domain Relation Discovery with Meta-constraints via Posterior Regularization | 2011 | 18 |
| 11 | 2009 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2004 | 2 | |
| 14 | Preferences in college applications - a nonparametric Bayesian analysis of top-10 rankings | 2010 | 0 |
About Harr Chen
Harr Chen is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 14 papers that have together received 698 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Data Management and Algorithms (4 papers), Natural Language Processing Techniques (4 papers), Advanced Database Systems and Queries (3 papers), Data Quality and Management (3 papers), Bayesian Methods and Mixture Models (3 papers), Advanced Text Analysis Techniques (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (477 citations), Information Systems (249 citations), Signal Processing (84 citations), Computer Vision and Pattern Recognition (151 citations) and Management Science and Operations Research (83 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 Johnson, Marina Meilă, Tapan S. Parikh, Neil Conway and Kuang Chen. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, Arrow@dit (Dublin Institute of Technology), DSpace@MIT (Massachusetts Institute of Technology) and Uncertainty in Artificial Intelligence.
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.