Kamal C. Chanda

410 total citations
35 papers, 246 citations indexed

About

Kamal C. Chanda is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Kamal C. Chanda has authored 35 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 12 papers in Finance and 11 papers in Artificial Intelligence. Recurrent topics in Kamal C. Chanda's work include Statistical Methods and Inference (16 papers), Bayesian Methods and Mixture Models (8 papers) and Advanced Statistical Methods and Models (8 papers). Kamal C. Chanda is often cited by papers focused on Statistical Methods and Inference (16 papers), Bayesian Methods and Mixture Models (8 papers) and Advanced Statistical Methods and Models (8 papers). Kamal C. Chanda collaborates with scholars based in United States and Netherlands. Kamal C. Chanda's co-authors include F.H. Ruymgaart and Madan L. Puri and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Kamal C. Chanda

31 papers receiving 206 citations

Peers

Kamal C. Chanda
Comparison fields: 5 of 54
  • Statistics and Probability 164
  • Finance 82
  • Artificial Intelligence 64
  • Management Science and Operations Research 35
  • Economics and Econometrics 29
Replace K. Dzhaparidze with:
K. Dzhaparidze Netherlands
D. M. Chibisov Russia
Philip McDunnough Canada
Peter Gaenssler Germany
Tuan D. Pham United States
James Hannan United States
Tadeusz Inglot Poland
Luisa Turrin Fernholz United States
Gérard Collomb France
C. B. Bell United States
K. Dzhaparidze Netherlands View profile →
Citations per field, relative to Kamal C. Chanda
Kamal C. Chanda · 1×
Citations per year, relative to Kamal C. Chanda
Kamal C. Chanda · 1×

Countries citing papers authored by Kamal C. Chanda

Since Specialization
Citations

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

Fields of papers citing papers by Kamal C. Chanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamal C. Chanda. 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 Kamal C. Chanda. The network helps show where Kamal C. Chanda may publish in the future.

Co-authorship network of co-authors of Kamal C. Chanda

This figure shows the co-authorship network connecting the top 25 collaborators of Kamal C. Chanda. A scholar is included among the top collaborators of Kamal C. Chanda 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 Kamal C. Chanda. Kamal C. Chanda 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 0
2 8
3 5
4 1
5 3
6 7
7 12
8 3
9 3
10 1
11 1
12 1
13 58
14 8
15 1
16 3
17 2
18 2
19 1
20 62

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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