The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Kaushik Chakrabarti sits on this spectrum.
This scientist: 97 publications — 8th percentile
8% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kaushik Chakrabarti sits on this spectrum.
This scientist: 37 D-Index — 27th percentile
27% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Kaushik Chakrabarti is affiliated with Microsoft in the United States, where their research focuses on several areas within computer science and decision sciences. Their work encompasses a number of subfields, including artificial intelligence, information systems, management science and operations research, and signal processing.
The main topics addressed in their research include topic modeling, web data mining and analysis, data quality and management, and data management and algorithms. These areas highlight an emphasis on data-driven methodologies and the handling of large, complex data sets.
Kaushik Chakrabarti's publication record features contributions primarily in the venue arXiv (Cornell University). Among the recent papers authored or co-authored by them are:
They have also collaborated on work outside their sole authorship, such as:
Kaushik Chakrabarti frequently collaborates with other researchers in their field. The most frequent co-authors include Siamak Shakeri and Guihong Cao, each with multiple joint publications. Other collaborators include Qin Lyu, Shobhit Hathi, and Souvik Kundu.
The combination of research topics and co-authorship relationships reflects a focus on understanding and improving data access and interpretation within web and structured database contexts. Their studies contribute to domain knowledge in processing and analyzing tables for question answering and data retrieval tasks.
Eamonn J. Keogh;Kaushik Chakrabarti;Michael J. Pazzani;Sharad Mehrotra
Eamonn Keogh;Kaushik Chakrabarti;Michael Pazzani;Sharad Mehrotra
Kaushik Chakrabarti;Minos N. Garofalakis;Rajeev Rastogi;Kyuseok Shim
Kaushik Chakrabarti;Eamonn Keogh;Sharad Mehrotra;Michael Pazzani
Michael Ortega;Yong Rui;Kaushik Chakrabarti;Sharad Mehrotra
K. Chakrabarti;S. Mehrotra
Kaushik Chakrabarti;Sharad Mehrotra
M. Ortega;Y. Rui;K. Chakrabarti;K. Porkaew
Mohamed Yakout;Kris Ganjam;Kaushik Chakrabarti;Surajit Chaudhuri
Kriengkrai Porkaew;Kaushik Chakrabarti
Bahman Bahmani;Kaushik Chakrabarti;Dong Xin
Kaushik Chakrabarti;Surajit Chaudhuri;Seung-won Hwang
Kaushik Chakrabarti;Surajit Chaudhuri;Venkatesh Ganti;Dong Xin
Yanyan Shen;Kaushik Chakrabarti;Surajit Chaudhuri;Bolin Ding
Bolin Ding;Silu Huang;Surajit Chaudhuri;Kaushik Chakrabarti
Meihui Zhang;Kaushik Chakrabarti
Kaushik Chakrabarti;Venkatesh Ganti;Jiawei Han;Dong Xin
K. Chakrabarti;M. Ortega-Binderberger;K. Porkaew;S. Mehrotra
Pengcheng He;Yi Mao;Kaushik Chakrabarti;Weizhu Chen
Michael Ortega-Binderberger;Kaushik Chakrabarti;Sharad Mehrotra
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