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.
The spread of true and false news online
20184.4k citationsSoroush Vosoughi, Deb Roy et al.Scienceprofile →
Computational Social Science
20092.1k citationsSinan Aral, Deb Roy et al.Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Deb Roy'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 Deb Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deb Roy more than expected).
This network shows the impact of papers produced by Deb Roy. 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 Deb Roy. The network helps show where Deb Roy may publish in the future.
Co-authorship network of co-authors of Deb Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Deb Roy.
A scholar is included among the top collaborators of Deb Roy 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 Deb Roy. Deb Roy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Vosoughi, Soroush, Deb Roy, & Sinan Aral. (2018). The spread of true and false news online. Science. 359(6380). 1146–1151.4419 indexed citations breakdown →
7.
Vosoughi, Soroush & Deb Roy. (2012). An Automatic Child-Directed Speech Detector for the Study of Child Language Development.. DSpace@MIT (Massachusetts Institute of Technology). 2478–2481.1 indexed citations
Roy, Brandon, Michael C. Frank, & Deb Roy. (2012). Relating Activity Contexts to Early Word Learning in Dense Longitudinal Data. Cognitive Science. 34(34).16 indexed citations
10.
Kollar, Thomas, Stefanie Tellex, Deb Roy, & Nicholas Roy. (2012). Grounding Verbs of Motion in Natural Language Commands to Robots. DSpace@MIT (Massachusetts Institute of Technology).22 indexed citations
11.
Meyer, Meredith, Philip DeCamp, Bridgette Martin Hard, Dare A. Baldwin, & Deb Roy. (2010). Assessing Behavioral and Computational Approaches to Naturalistic Action Segmentation. eScholarship (California Digital Library). 32(32).9 indexed citations
12.
Vosoughi, Soroush, Brandon Roy, Michael C. Frank, & Deb Roy. (2010). Contributions of Prosodic and Distributional Features of Caregivers' Speech in Early Word Learning. DSpace@MIT (Massachusetts Institute of Technology). 32(32).15 indexed citations
Roy, Brandon, Michael C. Frank, & Deb Roy. (2009). Exploring Word Learning in a High-Density Longitudinal Corpus. Proceedings of the Annual Meeting of the Cognitive Science Society. 31(31).52 indexed citations
Fleischman, Michael & Deb Roy. (2008). Grounded Language Modeling for Automatic Speech Recognition of Sports Video. Meeting of the Association for Computational Linguistics. 121–129.17 indexed citations
Roy, Deb. (2004). Grounding Language in the World: Signs, Schemas, and Meaning.. National Conference on Artificial Intelligence. 109.1 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.