Devbarna Sinha

1.3k citations
19 papers · 181 · h-index 8

Impact in

Papers in

    • Statistical Distribution Estimation and Applications 6
    • Statistical Methods and Inference 5
    • Statistical Methods and Bayesian Inference 3
    • Statistical Methods in Clinical Trials 2
    • Cancer Cells and Metastasis 2
    • Pancreatic and Hepatic Oncology Research 2

Devbarna Sinha

19 papers receiving 173 citations

Peers

Devbarna Sinha
Comparison fields: 5 of 70
  • Statistics and Probability 75
  • Statistics, Probability and Uncertainty 15
  • Oncology 43
  • Cancer Research 23
  • Pediatrics, Perinatology and Child Health 20
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Citations per field
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Citations per year

Countries citing papers authored by Devbarna Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Devbarna Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Devbarna Sinha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devbarna Sinha Line = papers co-authored together Devbarna Sinha links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200349
2 201525
3 201415
4 201415
5 200710
6 20129
7 20199
8 20119
9 20137
10 20006
11 20236
12 20026
13 20095
14 20013
15 20122
16 20062
17 20131
18 20161
19 20071

About Devbarna Sinha

Devbarna Sinha is a scholar working on Statistics and Probability, Oncology, Artificial Intelligence, Public Health, Environmental and Occupational Health and Cancer Research, having authored 19 papers that have together received 181 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Inference (5 papers), Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Bayesian Inference (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Cancer Cells and Metastasis (2 papers), Statistical Methods in Clinical Trials (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Statistics and Probability (75 citations), Statistics, Probability and Uncertainty (15 citations), Oncology (43 citations), Cancer Research (23 citations) and Pediatrics, Perinatology and Child Health (20 citations). Devbarna Sinha has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Adriano Polpo, Pritinder Kaur, Frank D. Groves, Stuart R. Lipsitz, Carlos Alberto de Bragança Pereira, Susann Mönchgesang, Christopher R. Parish, Lynn Chong, Caprice C. Greenberg and Atul A. Gawande. Their work appears in journals such as British Journal of Cancer, Biometrika, Clinical Cancer Research, Advances in experimental medicine and biology and Computational Statistics & Data Analysis.

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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