Kushal Dave
Impact in
- Communication top 1%
- Wikis in Education and Collaboration
- Artificial Intelligence top 0.5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
Papers in
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- Advanced Text Analysis Techniques 4
- Sentiment Analysis and Opinion Mining 4
- Text and Document Classification Technologies 3
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- Web Data Mining and Analysis 5
- Co-authors
- Steve Lawrence (2 shared papers)David M. Pennock (2 shared papers)Martin Wattenberg (3 shared papers)Fernanda Viégas (1 shared paper)Vasudeva Varma (10 shared papers)Michael Müller (1 shared paper)Paul Moody (1 shared paper)Mia Stern (1 shared paper)
- Journals
- Proceedings of the International AAAI Conference on Web and Social Media (2 papers)now publishers, Inc. eBooks (1 paper)Text REtrieval Conference (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Kushal Dave
19 papers receiving 2.0k citations
Kushal Dave's Hit Papers
Peers
Comparison fields: 5 of 82
- Communication 433
- Artificial Intelligence 1.6k
- Computer Science Applications 238
- Information Systems 780
- Statistical and Nonlinear Physics 200
Countries citing papers authored by Kushal Dave
This map shows the geographic impact of Kushal Dave'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 Kushal Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kushal Dave more than expected).
Fields of papers citing papers by Kushal Dave
This network shows the impact of papers produced by Kushal Dave. 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 Kushal Dave. The network helps show where Kushal Dave may publish in the future.
Co-authors
The 23 scholars most cited alongside Kushal Dave, 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 | Mining the peanut gallery Hit paper breakdown → | 2003 | 1272 |
| 2 | Studying cooperation and conflict between authors with history flow visualizations Hit paper breakdown → | 2004 | 528 |
| 3 | 2003 | 284 | |
| 4 | 2004 | 50 | |
| 5 | 2010 | 40 | |
| 6 | 2004 | 38 | |
| 7 | 2014 | 15 | |
| 8 | 2010 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2013 | 13 | |
| 11 | Computational Advertising: Techniques for Targeting Relevant Ads | 2014 | 10 |
| 12 | 2023 | 9 | |
| 13 | 2021 | 3 | |
| 14 | 2011 | 2 | |
| 15 | Identifying Influencers in Social Networks | 2011 | 2 |
| 16 | IIIT Hyderabad at Million Query Track TREC 2009. | 2009 | 1 |
| 17 | 2014 | 1 | |
| 18 | 2012 | 1 | |
| 19 | DeepXML: Scalable & Accurate Deep Extreme Classification for Matching User Queries to Advertiser Bid Phrases | 2019 | 1 |
| 20 | 2021 | 0 |
About Kushal Dave
Kushal Dave is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Marketing and Statistical and Nonlinear Physics, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (5 papers), Web Data Mining and Analysis (5 papers), Complex Network Analysis Techniques (4 papers), Advanced Text Analysis Techniques (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Data Visualization and Analytics (4 papers), Text and Document Classification Technologies (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Communication (433 citations), Artificial Intelligence (1.6k citations), Computer Science Applications (238 citations), Information Systems (780 citations) and Statistical and Nonlinear Physics (200 citations). Kushal Dave has collaborated with scholars based in India and United States. Frequent co-authors include Steve Lawrence, David M. Pennock, Martin Wattenberg, Fernanda Viégas, Vasudeva Varma, Michael Müller, Paul Moody, Mia Stern, Bernard J Kerr and Steven L. Rohall. Their work appears in journals such as Proceedings of the International AAAI Conference on Web and Social Media, now publishers, Inc. eBooks and Text REtrieval Conference.
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.