Tapan K. Nayak

68 papers and 883 indexed citations i.

About

Tapan K. Nayak is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Tapan K. Nayak has authored 68 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Tapan K. Nayak’s work include Survey Sampling and Estimation Techniques (17 papers), Statistical Methods and Bayesian Inference (15 papers) and Statistical Distribution Estimation and Applications (14 papers). Tapan K. Nayak is often cited by papers focused on Survey Sampling and Estimation Techniques (17 papers), Statistical Methods and Bayesian Inference (15 papers) and Statistical Distribution Estimation and Applications (14 papers). Tapan K. Nayak collaborates with scholars based in United States, India and Italy. Tapan K. Nayak's co-authors include Siu L. Chow, C. Radhakrishna Rao, Akshat Verma, Ravi Kothari, Pradipta De, Gargi Dasgupta, Joseph L. Gastwirth, K.N. Sivarajan, Reza Modarres and Abba Μ. Krieger and has published in prestigious journals such as Bioinformatics, Technometrics and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Tapan K. Nayak i

Fields of papers citing papers by Tapan K. Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tapan K. Nayak. 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 Tapan K. Nayak. The network helps show where Tapan K. Nayak may publish in the future.

Countries citing papers authored by Tapan K. Nayak

Since Specialization
Citations

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