Dootika Vats

14 papers and 249 indexed citations i.

About

Dootika Vats is a scholar working on Statistics and Probability, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, Dootika Vats has authored 14 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 1 paper in Nuclear and High Energy Physics. Recurrent topics in Dootika Vats’s work include Markov Chains and Monte Carlo Methods (13 papers), Statistical Methods and Inference (11 papers) and Bayesian Methods and Mixture Models (7 papers). Dootika Vats is often cited by papers focused on Markov Chains and Monte Carlo Methods (13 papers), Statistical Methods and Inference (11 papers) and Bayesian Methods and Mixture Models (7 papers). Dootika Vats collaborates with scholars based in India, United States and United Kingdom. Dootika Vats's co-authors include James M. Flegal, Galin L. Jones, Gareth O. Roberts, Quan Zhou, Jeffrey S. Rosenthal, Krzysztof Łatuszyński and Ying Liu and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Dootika Vats i

Fields of papers citing papers by Dootika Vats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dootika Vats

Since Specialization
Citations

This map shows the geographic impact of Dootika Vats'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 Dootika Vats with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dootika Vats 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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2025