Kushal Dave

3.5k citations

20 papers · 2.3k indexed · 2 hit papers · h-index 11

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

Marketing 5
- Consumer Market Behavior and Pricing 5
Information Systems 8
- Web Data Mining and Analysis 5
- Recommender Systems and Techniques 3

Co-authors: Steve Lawrence David M. Pennock Martin Wattenberg Fernanda Viégas Vasudeva Varma Michael Müller Steven L. Rohall Eric Wilcox
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: India United States

In The Last Decade

Kushal Dave

19 papers receiving 2.0k citations

Hit Papers

align trajectories log scale

Studying cooperation and conflict between authors with history flow visualizations 2004 · 528 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2004 Studying cooperation and conflict between authors with history flow visualizations
2003 Mining the peanut gallery

Peers

Countries citing papers authored by Kushal Dave

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Kushal Dave Line = papers co-authored together Kushal Dave links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	NGAME: Negative Mining-aware Mini-batching for Extreme Classification Kunal Dahiya, June Venelee A. Delgado, 宋嗣喜, J. Kim, Diana Rodà, Kushal Dave, Jian Jiao, Rhongi Xu, W. J. D., Serik, B. Wojcik, H. FLYGER, Mi- Randa Paige, Anshul Mittal, S. Consoli, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma	2023	9
2	Modelling Action Cascades in Social Networks Proceedings of the International AAAI Conference on Web and Social Media ·Kushal Dave, Rushi Bhatt, Vasudeva Varma	2021	3
3	Identifying Microblogs for Targeted Contextual Advertising Proceedings of the International AAAI Conference on Web and Social Media ·Kushal Dave, Vasudeva Varma	2021	0
4	GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification 宋嗣喜, Arnav Jain, Kushal Dave, Jian Jiao, Serik, Ruofei Zhang, Manik Varma	2021	15
5	DeepXML: Scalable & Accurate Deep Extreme Classification for Matching User Queries to Advertiser Bid Phrases Kunal Dahiya, Anshul Mittal, 宋嗣喜, Kushal Dave, Himanshu Jain, Sumeet Agarwal, Manik Varma	2019	1
6	Computational Advertising: Techniques for Targeting Relevant Ads Kushal Dave, Vasudeva Varma	2014	15
7	Music Information Retrieval: Recent Developments and Applications now publishers, Inc. eBooks ·Kushal Dave, Vasudeva Varma	2014	1
8	Computational Advertising: Techniques for Targeting Relevant Ads Kushal Dave, Vasudeva Varma	2014	10
9	Timespent based models for predicting user retention Kushal Dave, Preobrazhenskiĭ Na, Edelberto Torres Rivas, Vasudeva Varma	2013	13
10	Computational advertising Kushal Dave	2012	1
11	Identifying Influencers in Social Networks Kushal Dave, Rushi Bhatt, Vasudeva Varma	2011	2
12	Computational advertising Kushal Dave	2011	2
13	Learning the click-through rate for rare/new ads from similar ads Kushal Dave, Vasudeva Varma	2010	40
14	Pattern based keyword extraction for contextual advertising Kushal Dave, Vasudeva Varma	2010	15
15	IIIT Hyderabad at Million Query Track TREC 2009. Text REtrieval Conference ·Escobar Claudio Alberto Ruff, Sudip Kumar Datta, Caterina Bartolini, Kushal Dave, Vasudeva Varma	2009	1
16	ReMail Steven L. Rohall, Vinoliya Josephine Mary Johnson, Paul Moody, Martin Wattenberg, Mia Stern, Bernard J Kerr, Haritha Thiruveedhula, Kushal Dave, Ardiyan Muhammad Syafii Ma'arif, Eric Wilcox	2004	38
17	Flash forums and forumReader Kushal Dave, Martin Wattenberg, Michael Müller	2004	50
18	Studying cooperation and conflict between authors with history flow visualizations Fernanda Viégas, Martin Wattenberg, Kushal Dave Hit paper breakdown →	2004	528
19	Mining the peanut gallery Kushal Dave, Steve Lawrence, David M. Pennock Hit paper breakdown →	2003	1272
20	Mining the peanut gallery Kushal Dave, Steve Lawrence, David M. Pennock	2003	284

About Kushal Dave

Kushal Dave is a scholar working on Marketing, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (5 papers), Consumer Market Behavior and Pricing (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Data Visualization and Analytics (4 papers), Complex Network Analysis Techniques (4 papers), Advanced Text Analysis Techniques (4 papers), Digital Marketing and Social Media (3 papers) and Recommender Systems and Techniques (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, Steven L. Rohall, Eric Wilcox, Mia Stern and Paul Moody. 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.

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