Shashank Singh

29 papers and 334 indexed citations i.

About

Shashank Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Shashank Singh has authored 29 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Statistics and Probability. Recurrent topics in Shashank Singh’s work include Statistical Methods and Inference (5 papers), Markov Chains and Monte Carlo Methods (3 papers) and Bayesian Methods and Mixture Models (3 papers). Shashank Singh is often cited by papers focused on Statistical Methods and Inference (5 papers), Markov Chains and Monte Carlo Methods (3 papers) and Bayesian Methods and Mixture Models (3 papers). Shashank Singh collaborates with scholars based in United States, India and China. Shashank Singh's co-authors include Barnabás Póczos, Jian Ma, Yang Yang, Ruochi Zhang, Shailendra Narayan Singh, Anna V. Fisher, Jaeah Kim, Erik D. Thiessen, Saket Navlakha and Ziv Bar‐Joseph and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Fuzzy Sets and Systems.

In The Last Decade

Co-authorship network of co-authors of Shashank Singh i

Fields of papers citing papers by Shashank Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shashank Singh

Since Specialization
Citations

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