Hema Raghavan
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Machine Learning and Algorithms
- Text and Document Classification Technologies
- Machine Learning and Data Classification
- Information Systems top 5%
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
Papers in
-
- Natural Language Processing Techniques 9
- Topic Modeling 9
- Algorithms and Data Compression 5
- Text and Document Classification Technologies 4
- Machine Learning and Algorithms 4
- Advanced Text Analysis Techniques 4
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- Recommender Systems and Techniques 5
- Web Data Mining and Analysis 5
- Co-authors
- James Allan (10 shared papers)Rosie Jones (2 shared papers)Omid Madani (2 shared papers)Dustin Hillard (4 shared papers)Eren Manavoglu (2 shared papers)Vittorio Castelli (5 shared papers)Stefan Schroedl (1 shared paper)Yi Xing (1 shared paper)
- Journals
- ACM Transactions on Knowledge Discovery from Data (1 paper)Journal of Machine Learning Research (1 paper)Information Retrieval (1 paper)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Hema Raghavan
27 papers receiving 603 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 486
- Information Systems 244
- Signal Processing 64
- Marketing 52
- Computer Science Applications 29
Countries citing papers authored by Hema Raghavan
This map shows the geographic impact of Hema Raghavan'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 Hema Raghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hema Raghavan more than expected).
Fields of papers citing papers by Hema Raghavan
This network shows the impact of papers produced by Hema Raghavan. 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 Hema Raghavan. The network helps show where Hema Raghavan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hema Raghavan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Active Learning with Feedback on Features and Instances | 2006 | 120 |
| 2 | 2010 | 66 | |
| 3 | 2002 | 59 | |
| 4 | InterActive feature selection | 2005 | 43 |
| 5 | 2016 | 40 | |
| 6 | 2007 | 39 | |
| 7 | 2009 | 37 | |
| 8 | 2012 | 31 | |
| 9 | An Exploration of Entity Models, Collective Classification and Relation Description | 2004 | 27 |
| 10 | UMass at TDT 2004 | 2004 | 26 |
| 11 | Interactive clustering of text collections according to a user-specified criterion | 2007 | 24 |
| 12 | 2011 | 24 | |
| 13 | 2019 | 22 | |
| 14 | 2004 | 22 | |
| 15 | 2009 | 20 | |
| 16 | Query-Focused Opinion Summarization for User-Generated Content | 2014 | 17 |
| 17 | 2009 | 11 | |
| 18 | 2005 | 10 | |
| 19 | 2014 | 8 | |
| 20 | 2010 | 5 |
About Hema Raghavan
Hema Raghavan is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 670 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers), Recommender Systems and Techniques (5 papers), Algorithms and Data Compression (5 papers), Web Data Mining and Analysis (5 papers), Text and Document Classification Technologies (4 papers), Machine Learning and Algorithms (4 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (486 citations), Information Systems (244 citations), Signal Processing (64 citations), Marketing (52 citations) and Computer Science Applications (29 citations). Hema Raghavan has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include James Allan, Rosie Jones, Omid Madani, Dustin Hillard, Eren Manavoglu, Vittorio Castelli, Stefan Schroedl, Yi Xing, Lu Wang and Claire Cardie. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, Journal of Machine Learning Research, Information Retrieval, ScholarWorks@UMassAmherst (University of Massachusetts Amherst) and arXiv (Cornell University).
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.