Harr Chen
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 5
- Natural Language Processing Techniques 4
- Bayesian Methods and Mixture Models 3
- Advanced Text Analysis Techniques 2
-
- 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)Kuang Chen (4 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Uncertainty in Artificial Intelligence (1 paper)Arrow@dit (Dublin Institute of Technology) (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (3 papers)
- Partner nations
- United StatesAustraliaIreland
In The Last Decade
Harr Chen
13 papers receiving 568 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 426
- Information Systems 220
- Signal Processing 76
- Computer Vision and Pattern Recognition 132
- Management Science and Operations Research 70
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 19 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 | 215 | |
| 2 | 2009 | 152 | |
| 3 | Using Universal Linguistic Knowledge to Guide Grammar Induction | 2010 | 83 |
| 4 | 2009 | 39 | |
| 5 | 2011 | 31 | |
| 6 | Dirichlet process mixtures of generalized mallows models | 2010 | 24 |
| 7 | 2010 | 19 | |
| 8 | 2009 | 17 | |
| 9 | 2014 | 17 | |
| 10 | In-domain Relation Discovery with Meta-constraints via Posterior Regularization | 2011 | 14 |
| 11 | 2016 | 4 | |
| 12 | 2009 | 2 | |
| 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 619 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), Bayesian Methods and Mixture Models (3 papers), Data Quality and Management (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 (426 citations), Information Systems (220 citations), Signal Processing (76 citations), Computer Vision and Pattern Recognition (132 citations) and Management Science and Operations Research (70 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, Kuang Chen, Tapan S. Parikh and Neil Conway. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, Uncertainty in Artificial Intelligence, Arrow@dit (Dublin Institute of Technology) and DSpace@MIT (Massachusetts Institute of Technology).
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.