Arnab Maity

1.7k citations
70 papers · 1.2k · h-index 19

Impact in

Papers in

    • Statistical Methods and Inference 33
    • Statistical Methods and Bayesian Inference 21
    • Advanced Statistical Methods and Models 9
    • Genetic Associations and Epidemiology 15
    • Genetic and phenotypic traits in livestock 5

Arnab Maity

66 papers receiving 1.2k citations

Peers

Arnab Maity
Comparison fields: 5 of 134
  • Statistics and Probability 354
  • Health, Toxicology and Mutagenesis 247
  • Genetics 211
  • Computational Mathematics 4
  • Statistics, Probability and Uncertainty 37
Replace Helena Geys with:
Helena Geys Belgium
Deepak K. Agarwal India
Daowen Zhang United States
Andrés M. Alonso Spain
Xin Gao Canada
Poul Svante Eriksen Denmark
Woojoo Lee South Korea
Matthew W. Wheeler United States
Michael G. Schimek Austria
Iain D. Currie United Kingdom
Arnab Maity relative to Helena Geys Belgium Helena Geys's profile →
Citations per field
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Helena Geys · 1×
Citations per year

Countries citing papers authored by Arnab Maity

Since Specialization
Citations

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

Fields of papers citing papers by Arnab Maity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201390
2 201376
3 201771
4 201264
5 201062
6 201359
7 201454
8 201154
9 201352
10 201146
11 201642
12 200932
13 201631
14 201729
15 201228
16 201126
17 200825
18 201125
19 201118
20 201418

About Arnab Maity

Arnab Maity is a scholar working on Statistics and Probability, Genetics, Molecular Biology, Artificial Intelligence and Control and Systems Engineering, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (33 papers), Statistical Methods and Bayesian Inference (21 papers), Genetic Associations and Epidemiology (15 papers), Gene expression and cancer classification (11 papers), Bayesian Methods and Mixture Models (10 papers), Advanced Statistical Methods and Models (9 papers), Control Systems and Identification (5 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Statistics and Probability (354 citations), Health, Toxicology and Mutagenesis (247 citations), Genetics (211 citations), Computational Mathematics (4 citations) and Statistics, Probability and Uncertainty (37 citations). Arnab Maity has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Ana‐Maria Staicu, Raymond J. Carroll, Xihong Lin, Jan Gertheiss, Michael Sherman, Patrick F. Sullivan, Michael C. Wu, Bani K. Mallick, Jiguo Cao and Brent A. Coull. Their work appears in journals such as Genetic Epidemiology, Biometrics, Journal of the American Statistical Association, Environmental Health Perspectives and Electronic Journal of Statistics.

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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