Arnab Maity

1.7k citations
70 papers · 1.2k indexed · h-index 19
Topics
Statistical Methods and Inference (33 papers)Statistical Methods and Bayesian Inference (21 papers)Genetic Associations and Epidemiology (15 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
Partner nations
United StatesTaiwanIndia

In The Last Decade

Arnab Maity

66 papers receiving 1.1k citations

Peers

Arnab Maity
Comparison fields: 5 of 140
  • Statistics and Probability 358
  • Health, Toxicology and Mutagenesis 271
  • Molecular Biology 248
  • Genetics 218
  • Artificial Intelligence 133
Replace Helena Geys with:
Helena Geys Belgium
Deepak K. Agarwal India
Matthew W. Wheeler United States
Daowen Zhang United States
Poul Svante Eriksen Denmark
Xin Gao Canada
Andrés M. Alonso Spain
Woojoo Lee South Korea
Michael G. Schimek Austria
Albert Vexler United States
Arnab Maity relative to Helena Geys Belgium Helena Geys's profile →
Citations per field
00.5×3.6×
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-authorship network of co-authors of Arnab Maity

This figure shows the co-authorship network connecting the top 25 collaborators of Arnab Maity. A scholar is included among the top collaborators of Arnab Maity 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 Arnab Maity. Arnab Maity 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
#WorkIndexed citations
1 0
2 8
3
Immuno-castration by immunization with GnRH in Black Bengal bucks (Capra hircus).
1
4 6
5 1
6 5
7 4
8 54
9 90
10 7
11 28
12 6
13 5
14
Serum Concentrations of Polychlorinated Biphenyls (PCBs) in Relation to in Vitro Fertilization (IVF) Outcomes
3
15 46
16 25
17 0
18 18
19 54
20 30

About Arnab Maity

Arnab Maity is a scholar working on Statistics and Probability, Genetics and Health, Toxicology and Mutagenesis, 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) and Genetic Associations and Epidemiology (15 papers). The work is most often cited by research in Statistics and Probability (358 citations), Health, Toxicology and Mutagenesis (271 citations) and Genetics (218 citations). Arnab Maity has collaborated with scholars based in United States, Taiwan and India. 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 SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

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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