Prayas Sharma

33 papers and 259 indexed citations i.

About

Prayas Sharma is a scholar working on Statistics and Probability, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Prayas Sharma has authored 33 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 3 papers in Sociology and Political Science and 3 papers in Artificial Intelligence. Recurrent topics in Prayas Sharma’s work include Survey Sampling and Estimation Techniques (22 papers), Statistical Methods and Bayesian Inference (9 papers) and Statistical Distribution Estimation and Applications (6 papers). Prayas Sharma is often cited by papers focused on Survey Sampling and Estimation Techniques (22 papers), Statistical Methods and Bayesian Inference (9 papers) and Statistical Distribution Estimation and Applications (6 papers). Prayas Sharma collaborates with scholars based in India, Pakistan and Ecuador. Prayas Sharma's co-authors include Rajesh Singh, Min Xie, T. N. Goh, Anukriti Sharma, Rajesh Singh, Muhammad Hanif, Muhammad Noor‐ul‐Amin, Rajesh Kumar Gupta, Hemant Verma and Surya Kant Pal and has published in prestigious journals such as Applied Sciences, Journal of Computational and Applied Mathematics and Heliyon.

In The Last Decade

Co-authorship network of co-authors of Prayas Sharma i

Fields of papers citing papers by Prayas Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prayas Sharma

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025