Robin Mitra

1.1k citations
36 papers · 714 · h-index 13

Impact in

    • Biochemical Acid Research Studies
    • Statistical Methods and Bayesian Inference
    • Advanced Causal Inference Techniques
    • Statistical Methods and Inference

Papers in

    • Statistical Methods and Bayesian Inference 12
    • Statistical Methods and Inference 11
    • Advanced Causal Inference Techniques 5
    • Bayesian Methods and Mixture Models 6
    • Privacy-Preserving Technologies in Data 5

Robin Mitra

35 papers receiving 699 citations

Peers

Robin Mitra
Comparison fields: 5 of 123
  • Biochemistry 143
  • Statistics and Probability 139
  • Clinical Biochemistry 47
  • Statistical and Nonlinear Physics 59
  • Management Science and Operations Research 46
Replace Jana Zvárová with:
Jana Zvárová Czechia
Brenda MacGibbon Canada
Arden W. Forrey United States
Dennis Gilliland United States
Haiyan Yu China
Jingtao Shi China
Dan Zhu China
Stephen J. Ruberg United States
Michael S. Leonard United States
John R. Howell United States
Robin Mitra relative to Jana Zvárová Czechia Jana Zvárová's profile →
Citations per field
00.5×10×15×20.4×
Jana Zvárová · 1×
Citations per year

Countries citing papers authored by Robin Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Robin Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robin Mitra, 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 Robin Mitra Line = papers co-authored together Robin Mitra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012222
2 197468
3 199656
4 200952
5 199839
6 202336
7 201031
8 199631
9 199620
10 199618
11 202214
12 202513
13 201012
14 199612
15 201511
16 200810
17 20088
18 20176
19 19996
20 20235

About Robin Mitra

Robin Mitra is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Biochemistry and Management Science and Operations Research, having authored 36 papers that have together received 714 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (12 papers), Statistical Methods and Inference (11 papers), Biochemical Acid Research Studies (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Bayesian Methods and Mixture Models (6 papers), Advanced Causal Inference Techniques (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Biochemistry (143 citations), Statistics and Probability (139 citations), Clinical Biochemistry (47 citations), Statistical and Nonlinear Physics (59 citations) and Management Science and Operations Research (46 citations). Robin Mitra has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Jerome P. Reiter, John M. Woodley, M. D. Lilly, Katie Morris, Nicholas J. Turner, Mark E. B. Smith, David B. Dunson, Stefanie Biedermann, Ben D. MacArthur and Ginestra Bianconi. Their work appears in journals such as Statistics in Medicine, Annals of the New York Academy of Sciences, Biometrical Journal, Nature Machine Intelligence and Statistica Sinica.

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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