Kalyan Das

751 total citations · 1 hit paper
39 papers, 532 citations indexed

About

Kalyan Das is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Kalyan Das has authored 39 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Kalyan Das's work include Statistical Methods and Bayesian Inference (29 papers), Statistical Methods and Inference (23 papers) and Advanced Statistical Methods and Models (15 papers). Kalyan Das is often cited by papers focused on Statistical Methods and Bayesian Inference (29 papers), Statistical Methods and Inference (23 papers) and Advanced Statistical Methods and Models (15 papers). Kalyan Das collaborates with scholars based in India, Canada and United States. Kalyan Das's co-authors include Byron C. Jaeger, Lloyd J. Edwards, Pranab Kumar Sen, Brajendra C. Sutradhar, John S. Preisser, D. Leann Long, Kimon Divaris, Atanu Biswas, Bikas K. Sinha and Nripes Kumar Mandal and has published in prestigious journals such as Biometrics, Statistics in Medicine and Computational Statistics & Data Analysis.

In The Last Decade

Kalyan Das

32 papers receiving 507 citations

Hit Papers

AnR2statistic for fixed effects in the generalized linear... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers

Kalyan Das
Comparison fields: 5 of 133
  • Statistics and Probability 161
  • Cognitive Neuroscience 74
  • Experimental and Cognitive Psychology 70
  • Ecology 48
  • Artificial Intelligence 46
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Vincent Dorie United States
Hugh Dudley United Kingdom
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Dror Rom United States
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Citations per field, relative to Kalyan Das
Kalyan Das · 1×
Citations per year, relative to Kalyan Das
Kalyan Das · 1×

Countries citing papers authored by Kalyan Das

Since Specialization
Citations

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

Fields of papers citing papers by Kalyan Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalyan Das

This figure shows the co-authorship network connecting the top 25 collaborators of Kalyan Das. A scholar is included among the top collaborators of Kalyan 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 Kalyan Das. Kalyan 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
# Work Indexed citations
1 1
2 2
3 2
4 0
5 3
6 2
7 2
8 3
9 1
10 0
11 8
12 1
13 4
14 17
15 33
16 4
17 1
18 1
19 11
20 2

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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