Sumit Basu

2.4k citations
50 papers · 1.7k · h-index 20

Impact in

Papers in

Sumit Basu

45 papers receiving 1.6k citations

Peers

Sumit Basu
Comparison fields: 5 of 75
  • Computer Science Applications 299
  • Computer Vision and Pattern Recognition 569
  • Human-Computer Interaction 162
  • Signal Processing 182
  • Artificial Intelligence 514
Replace Georgios Evangelidis with:
Georgios Evangelidis Greece
Charles Lee Isbell United States
Roger B. Dannenberg United States
Stephen Pope United States
John MacCormick United States
Trinh Minh Tri Switzerland
Katashi Nagao Japan
Gita Sukthankar United States
Virginio Cantoni Italy
Michihiko Minoh Japan
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Citations per field
00.5×2×2.9×
Georgios Evangelidis · 1×
Citations per year

Countries citing papers authored by Sumit Basu

Since Specialization
Citations

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).

Fields of papers citing papers by Sumit Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Sumit Basu, 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 Sumit Basu Line = papers co-authored together Sumit Basu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning from the Wisdom of Crowds by Minimax Entropy
2012225
2 1996167
3 2013121
4 2008118
5 201595
6
Selective supervision: guiding supervised learning with decision-theoretic active learning
200790
7 200285
8 200475
9
Towards Measuring Human Interactions in Conversational Settings
200161
10
Learning Human Interactions with the Influence Model
200156
11 202254
12 201451
13 201350
14 200348
15 200346
16
Mind the Gap: Learning to Choose Gaps for Question Generation
201238
17 200237
18 201133
19 201023
20
Exposing parameters of a trained dynamic model for interactive music creation
200821

About Sumit Basu

Sumit Basu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence and Computer Science Applications, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Face recognition and analysis (9 papers), Speech and Audio Processing (8 papers), Music Technology and Sound Studies (6 papers), Software System Performance and Reliability (3 papers), Human Motion and Animation (3 papers), Natural Language Processing Techniques (3 papers), Speech Recognition and Synthesis (3 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Computer Science Applications (299 citations), Computer Vision and Pattern Recognition (569 citations), Human-Computer Interaction (162 citations), Signal Processing (182 citations) and Artificial Intelligence (514 citations). Sumit Basu has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Alex Pentland, Lucy Vanderwende, Irfan A. Essa, John C. Platt, Yi Mao, Dengyong Zhou, Dan Morris, Ian Simon, Tanzeem Choudhury and Brian Clarkson. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Speech Communication, IEEE Journal of Biomedical and Health Informatics, Journal of the Audio Engineering Society and ACM SIGOPS Operating Systems Review.

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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