Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Language from police body camera footage shows racial disparities in officer respect
2017232 citationsRob Voigt, Vinodkumar Prabhakaran et al.profile →
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
2022105 citationsAida Mostafazadeh Davani, Mark Díaz et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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
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.
Prabhakaran, Vinodkumar & Owen Rambow. (2016). A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels. Language Resources and Evaluation. 2034–2038.5 indexed citations
12.
Prabhakaran, Vinodkumar, et al.. (2014). Investigations on Remote Virtual Machine toSecure Lifetime PHR in Cloud. International Journal of Innovative Research in Computer and Communication Engineering. 2(10). 6027–6034.4 indexed citations
13.
Prabhakaran, Vinodkumar, Ajita John, & Dorée Duncan Seligmann. (2013). Who Had the Upper Hand? Ranking Participants of Interactions Based on Their Relative Power. International Joint Conference on Natural Language Processing. 365–373.15 indexed citations
14.
Prabhakaran, Vinodkumar & Owen Rambow. (2013). Written Dialog and Social Power: Manifestations of Different Types of Power in Dialog Behavior. International Joint Conference on Natural Language Processing. 216–224.16 indexed citations
15.
Prabhakaran, Vinodkumar. (2012). Detecting Power Relations from Written Dialog. Meeting of the Association for Computational Linguistics. 7–12.2 indexed citations
16.
Prabhakaran, Vinodkumar, et al.. (2012). Annotations for Power Relations on Email Threads. Language Resources and Evaluation. 806–811.8 indexed citations
17.
Prabhakaran, Vinodkumar, Owen Rambow, & Mona Diab. (2012). Predicting Overt Display of Power in Written Dialogs. North American Chapter of the Association for Computational Linguistics. 518–522.34 indexed citations
18.
Prabhakaran, Vinodkumar, Owen Rambow, & Mona Diab. (2012). Who's (Really) the Boss? Perception of Situational Power in Written Interactions. International Conference on Computational Linguistics. 2259–2274.8 indexed citations
19.
Prabhakaran, Vinodkumar. (2010). Uncertainty Learning Using SVMs and CRFs. 132–137.1 indexed citations
20.
Prabhakaran, Vinodkumar, Owen Rambow, & Mona Diab. (2010). Automatic Committed Belief Tagging. International Conference on Computational Linguistics. 1014–1022.31 indexed citations
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.