Vinodkumar Prabhakaran

5.3k citations
56 papers · 1.1k indexed · 2 hit papers · h-index 16
Topics
Topic Modeling (14 papers)Natural Language Processing Techniques (14 papers)Hate Speech and Cyberbullying Detection (13 papers)

In The Last Decade

Vinodkumar Prabhakaran

52 papers receiving 1.0k citations

Hit Papers

Language from police body camera footage shows racial dis...20172026202020232017202250100150200

Peers

Vinodkumar Prabhakaran
Comparison fields: 5 of 106
  • Artificial Intelligence 660
  • Sociology and Political Science 267
  • Political Science and International Relations 137
  • Information Systems 117
  • Safety Research 108
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Citations per year

Countries citing papers authored by Vinodkumar Prabhakaran

Since Specialization
Citations

This map shows the geographic impact of Vinodkumar Prabhakaran'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 Vinodkumar Prabhakaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinodkumar Prabhakaran more than expected).

Fields of papers citing papers by Vinodkumar Prabhakaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinodkumar Prabhakaran. 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 Vinodkumar Prabhakaran. The network helps show where Vinodkumar Prabhakaran may publish in the future.

Co-authorship network of co-authors of Vinodkumar Prabhakaran

This figure shows the co-authorship network connecting the top 25 collaborators of Vinodkumar Prabhakaran. A scholar is included among the top collaborators of Vinodkumar Prabhakaran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vinodkumar Prabhakaran. Vinodkumar Prabhakaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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11
A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels
5
12
Investigations on Remote Virtual Machine toSecure Lifetime PHR in Cloud
4
13
Who Had the Upper Hand? Ranking Participants of Interactions Based on Their Relative Power
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14
Written Dialog and Social Power: Manifestations of Different Types of Power in Dialog Behavior
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Detecting Power Relations from Written Dialog
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Annotations for Power Relations on Email Threads
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Predicting Overt Display of Power in Written Dialogs
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Who's (Really) the Boss? Perception of Situational Power in Written Interactions
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Uncertainty Learning Using SVMs and CRFs
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Automatic Committed Belief Tagging
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About Vinodkumar Prabhakaran

Vinodkumar Prabhakaran is a scholar working on General Social Sciences, Artificial Intelligence and Language and Linguistics, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (14 papers) and Hate Speech and Cyberbullying Detection (13 papers). The work is most often cited by research in Health Informatics (48 citations), Artificial Intelligence (660 citations) and General Social Sciences (62 citations). Vinodkumar Prabhakaran has collaborated with scholars based in United States, United Kingdom and Bermuda. Frequent co-authors include Owen Rambow, Dan Jurafsky, Mark Díaz, Aida Mostafazadeh Davani, Mona Diab, Ben Hutchinson, Emily Denton, David Jurgens, Rob Voigt and Yu Zhong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Appetite and Journal of Social Issues.

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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