This map shows the geographic impact of Sumit Basu'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 Sumit Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Basu more than expected).
This network shows the impact of papers produced by Sumit Basu. 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 Sumit Basu. The network helps show where Sumit Basu may publish in the future.
Co-authorship network of co-authors of Sumit Basu
This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Basu.
A scholar is included among the top collaborators of Sumit Basu 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 Sumit Basu. Sumit Basu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Basu, Sumit, et al.. (2015). Factors Influencing Consumers Intention to Buy Counterfeit Products. IUScholarWorks (Indiana University). 15(6).10 indexed citations
4.
Becker, Lee A., Sumit Basu, & Lucy Vanderwende. (2012). Mind the Gap: Learning to Choose Gaps for Question Generation. North American Chapter of the Association for Computational Linguistics. 742–751.35 indexed citations
Zhou, Dengyong, Sumit Basu, Yi Mao, & John Platt. (2012). Learning from the Wisdom of Crowds by Minimax Entropy. Neural Information Processing Systems. 25. 2195–2203.198 indexed citations
7.
Kumaran, A., Sunil Kumar Jauhar, & Sumit Basu. (2012). Doodling: A Gaming Paradigm for Generating Language Data.. National Conference on Artificial Intelligence.1 indexed citations
8.
Basu, Sumit, John Dunagan, Kevin Duh, & Kiran‐Kumar Muniswamy‐Reddy. (2012). BLR-D. ACM SIGOPS Operating Systems Review. 45(3). 31–38.3 indexed citations
9.
Morris, Dan, Ian Simon, & Sumit Basu. (2008). Exposing parameters of a trained dynamic model for interactive music creation. National Conference on Artificial Intelligence. 784–791.18 indexed citations
10.
Basu, Sumit, John Dunagan, & Greg Smith. (2007). Why did my pc suddenly slow down. 4.7 indexed citations
11.
Kapoor, Ashish, Eric Horvitz, & Sumit Basu. (2007). Selective supervision: guiding supervised learning with decision-theoretic active learning. International Joint Conference on Artificial Intelligence. 877–882.82 indexed citations
Simon, Ian, Sumit Basu, David Salesin, & Maneesh Agrawala. (2005). AUDIO ANALOGIES: CREATING NEW MUSIC FROM AN EXISTING PERFORMANCE BY CONCATENATIVE SYNTHESIS. The Journal of the Abraham Lincoln Association. 2005.9 indexed citations
14.
Basu, Sumit. (2004). Mixing with Mozart. International Computer Music Conference. 2004.7 indexed citations
Basu, Sumit, Tanzeem Choudhury, Brian Clarkson, & Alex Pentland. (2001). Towards Measuring Human Interactions in Conversational Settings. Computer Vision and Pattern Recognition.54 indexed citations
17.
Basu, Sumit. (1997). A Three-Dimensional Model of Human Lip Motion. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
18.
Basu, Sumit & Alex Pentland. (1997). Recovering 3d lip structure from 2d observations using a model trained from video.. AVSP. 121–124.2 indexed citations
19.
Casey, Michael A., William G. Gardner, & Sumit Basu. (1995). Vision-Steered Beam Forming and Transaural Rendering for the Artificial Life Interactive Video Environment (ALIVE). Journal of the Audio Engineering Society.15 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.