Samiran Sinha

971 total citations
45 papers, 633 citations indexed

About

Samiran Sinha is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Samiran Sinha has authored 45 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 7 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Samiran Sinha's work include Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (21 papers) and Advanced Causal Inference Techniques (7 papers). Samiran Sinha is often cited by papers focused on Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (21 papers) and Advanced Causal Inference Techniques (7 papers). Samiran Sinha collaborates with scholars based in United States, Australia and Cyprus. Samiran Sinha's co-authors include Tapabrata Maiti, Bhramar Mukherjee, Louis E. Strigari, Malay Ghosh, Raymond J. Carroll, Shu Liao, Bhaskar Dutta, Suojin Wang, Yanyuan Ma and Bani K. Mallick and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Journal of the American Statistical Association.

In The Last Decade

Samiran Sinha

39 papers receiving 605 citations

Peers

Samiran Sinha
Comparison fields: 5 of 150
  • Statistics and Probability 197
  • Artificial Intelligence 95
  • Molecular Biology 60
  • Nuclear and High Energy Physics 48
  • Management Science and Operations Research 40
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Citations per field, relative to Samiran Sinha
Samiran Sinha · 1×
Citations per year, relative to Samiran Sinha
Samiran Sinha · 1×

Countries citing papers authored by Samiran Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Samiran Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samiran Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Samiran Sinha. A scholar is included among the top collaborators of Samiran Sinha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samiran Sinha. Samiran Sinha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 4
4 10
5 21
6 1
7 1
8 45
9 18
10 11
11
Confidence interval estimation of small area parameters shrinking both means and variances
11
12 18
13 9
14 10
15
Introduction to Bayesian Statistics (2nd ed.)
98
16 1
17
Modelling Association Among Bivariate Exposures In Matched Case-Control Studies
2
18 14
19 4
20 6

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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