Kiranmoy Das

884 citations
42 papers · 619 indexed · h-index 12
Topics
Genetic Mapping and Diversity in Plants and Animals (15 papers)Statistical Methods and Bayesian Inference (13 papers)Statistical Methods and Inference (13 papers)
Partner nations
United StatesIndiaChina

In The Last Decade

Kiranmoy Das

41 papers receiving 605 citations

Peers

Kiranmoy Das
Comparison fields: 5 of 120
  • Genetics 284
  • Statistics and Probability 133
  • Plant Science 114
  • Molecular Biology 109
  • Artificial Intelligence 80
Replace R. R. Corbeil with:
R. R. Corbeil United States
Stephen Bates United States
Fentaw Abegaz Netherlands
M. C. Denham United Kingdom
Poul Svante Eriksen Denmark
Erika Cule United Kingdom
Yoonsung Jung United States
Matthew Holford United States
Qun Zhang China
Tacha Hicks Switzerland
Kiranmoy Das relative to R. R. Corbeil United States R. R. Corbeil's profile →
Citations per field
00.5×4.7×
R. R. Corbeil · 1×
Citations per year

Countries citing papers authored by Kiranmoy Das

Since Specialization
Citations

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

Fields of papers citing papers by Kiranmoy Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiranmoy Das

This figure shows the co-authorship network connecting the top 25 collaborators of Kiranmoy Das. A scholar is included among the top collaborators of Kiranmoy Das 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 Kiranmoy Das. Kiranmoy Das 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 1
2 1
3 1
4 2
5 9
6 0
7 32
8 2
9 16
10 1
11 6
12 14
13 11
14 74
15 10
16 16
17 10
18 12
19 3
20 6

About Kiranmoy Das

Kiranmoy Das is a scholar working on Statistics and Probability, Genetics and Artificial Intelligence, having authored 42 papers that have together received 619 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (15 papers), Statistical Methods and Bayesian Inference (13 papers) and Statistical Methods and Inference (13 papers). The work is most often cited by research in Statistics and Probability (133 citations), Genetics (284 citations) and Plant Science (114 citations). Kiranmoy Das has collaborated with scholars based in United States, India and China. Frequent co-authors include Jiahan Li, Guifang Fu, Runze Li, Rongling Wu, Naomi Altman, Martin Krzywinski, Rongling Wu, Zhong Wang, Michael J. Daniels and Parsaoran Hutapea. Their work appears in journals such as Journal of the American Statistical Association, Bioinformatics and Water Research.

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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