Kamalika Chaudhuri

53 papers and 2.0k indexed citations i.

About

Kamalika Chaudhuri is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Kamalika Chaudhuri has authored 53 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 7 papers in Management Science and Operations Research. Recurrent topics in Kamalika Chaudhuri’s work include Privacy-Preserving Technologies in Data (20 papers), Machine Learning and Algorithms (12 papers) and Cryptography and Data Security (10 papers). Kamalika Chaudhuri is often cited by papers focused on Privacy-Preserving Technologies in Data (20 papers), Machine Learning and Algorithms (12 papers) and Cryptography and Data Security (10 papers). Kamalika Chaudhuri collaborates with scholars based in United States, Germany and The Netherlands. Kamalika Chaudhuri's co-authors include Anand D. Sarwate, Claire Monteleoni, Sham M. Kakade, Karen Livescu, Karthik Sridharan, Shuang Song, Daniel Hsu, Sanjoy Dasgupta, K. P. Sinha and Fan Chung and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Signal Processing Magazine and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Kamalika Chaudhuri i

Fields of papers citing papers by Kamalika Chaudhuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamalika Chaudhuri. 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 Kamalika Chaudhuri. The network helps show where Kamalika Chaudhuri may publish in the future.

Countries citing papers authored by Kamalika Chaudhuri

Since Specialization
Citations

This map shows the geographic impact of Kamalika Chaudhuri'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 Kamalika Chaudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamalika Chaudhuri more than expected).

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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