Kalyan Das

751 citations
39 papers · 532 indexed · 1 hit paper · h-index 8
Topics
Statistical Methods and Bayesian Inference (29 papers)Statistical Methods and Inference (23 papers)Advanced Statistical Methods and Models (15 papers)
Partner nations
IndiaCanadaUnited States

In The Last Decade

Kalyan Das

32 papers receiving 507 citations

Hit Papers

AnR2statistic for fixed effects in the generalized linear...2016202620192022201650100150200250

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
Replace Vincent Dorie with:
Vincent Dorie United States
Margaret D. Copenhaver United States
Beatrijs Moerkerke Belgium
Karen K. Yuen United States
Antonio Calcagnì Italy
Jacqueline Thompson United Kingdom
S. Domhof Germany
Sara van Erp Netherlands
S. H. C. du Toit United States
Hugh Dudley United Kingdom
Kalyan Das relative to Vincent Dorie United States Vincent Dorie's profile →
Citations per field
00.5×1.5×1.8×
Vincent Dorie · 1×
Citations per year

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
#WorkIndexed 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

About Kalyan Das

Kalyan Das is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 39 papers that have together received 532 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (29 papers), Statistical Methods and Inference (23 papers) and Advanced Statistical Methods and Models (15 papers). The work is most often cited by research in Statistics and Probability (161 citations), Experimental and Cognitive Psychology (70 citations) and Cognitive Neuroscience (74 citations). Kalyan Das has collaborated with scholars based in India, Canada and United States. Frequent 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. Their work appears in journals such as Biometrics, Statistics in Medicine and Computational Statistics & Data Analysis.

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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