Abhra Sarkar

23 papers and 308 indexed citations i.

About

Abhra Sarkar is a scholar working on Artificial Intelligence, Statistics and Probability and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Abhra Sarkar has authored 23 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Abhra Sarkar’s work include Bayesian Methods and Mixture Models (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Statistical Methods and Inference (6 papers). Abhra Sarkar is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Statistical Methods and Inference (6 papers). Abhra Sarkar collaborates with scholars based in United States, Australia and The Netherlands. Abhra Sarkar's co-authors include Erich D. Jarvis, Jonathan Chabout, David B. Dunson, David B. Dunson, Bani K. Mallick, Raymond J. Carroll, Simon E. Fisher, Bharath Chandrasekaran, Debdeep Pati and Emma E. Fridel and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Abhra Sarkar i

Fields of papers citing papers by Abhra Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Abhra Sarkar

Since Specialization
Citations

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