Bibhas Chakraborty

100 papers and 2.1k indexed citations i.

About

Bibhas Chakraborty is a scholar working on Statistics and Probability, General Health Professions and Artificial Intelligence. According to data from OpenAlex, Bibhas Chakraborty has authored 100 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 22 papers in General Health Professions and 16 papers in Artificial Intelligence. Recurrent topics in Bibhas Chakraborty’s work include Advanced Causal Inference Techniques (19 papers), Statistical Methods in Clinical Trials (17 papers) and Machine Learning in Healthcare (13 papers). Bibhas Chakraborty is often cited by papers focused on Advanced Causal Inference Techniques (19 papers), Statistical Methods in Clinical Trials (17 papers) and Machine Learning in Healthcare (13 papers). Bibhas Chakraborty collaborates with scholars based in Singapore, United States and United Kingdom. Bibhas Chakraborty's co-authors include Susan A. Murphy, Victor J. Strecher, Marcus Eng Hock Ong, Nan Liu, Linda M. Collins, Feng Xie, Vijay Nair, Roderick J. A. Little, Eric B. Laber and Ying‐Qi Zhao and has published in prestigious journals such as Scientific Reports, American Journal of Public Health and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Bibhas Chakraborty i

Fields of papers citing papers by Bibhas Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bibhas Chakraborty

Since Specialization
Citations

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