Pranesh Kumar

646 citations
60 papers · 439 · h-index 13

Impact in

Papers in

Pranesh Kumar

53 papers receiving 415 citations

Peers

Pranesh Kumar
Comparison fields: 5 of 93
  • Statistics and Probability 113
  • Management Science and Operations Research 165
  • Applied Mathematics 76
  • Statistics, Probability and Uncertainty 29
  • Finance 39
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Citations per field
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Citations per year

Countries citing papers authored by Pranesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pranesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pranesh Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pranesh Kumar Line = papers co-authored together Pranesh Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202140
2 200434
3 201734
4
Probability Distributions and Estimation of Ali-Mikhail-Haq Copula
201023
5 201820
6
MOMENTS INEQUALITIES OF A RANDOM VARIABLE DEFINED OVER A FINITE INTERVAL
200220
7 200519
8
ON A SYMMETRIC DIVERGENCE MEASURE AND INFORMATION INEQUALITIES
200517
9 202216
10 200716
11 201815
12 201214
13 201613
14 201212
15 201911
16 200511
17 200310
18 198210
19 19848
20 20118

About Pranesh Kumar

Pranesh Kumar is a scholar working on Statistics and Probability, Management Science and Operations Research, Finance, Economics and Econometrics and Artificial Intelligence, having authored 60 papers that have together received 439 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (17 papers), Advanced Statistical Methods and Models (9 papers), Survey Sampling and Estimation Techniques (7 papers), Financial Risk and Volatility Modeling (7 papers), Statistical Methods and Inference (6 papers), Optimization and Mathematical Programming (6 papers), Statistical Methods and Bayesian Inference (6 papers) and Stochastic processes and financial applications (5 papers). The work is most often cited by research in Statistics and Probability (113 citations), Management Science and Operations Research (165 citations), Applied Mathematics (76 citations), Statistics, Probability and Uncertainty (29 citations) and Finance (39 citations). Pranesh Kumar has collaborated with scholars based in Canada, India and Iran. Frequent co-authors include Mohamadtaghi Rahimi, Hemantha S. B. Herath, Andrew Johnson, Mohamed M. Shoukri, Said Broumi, Assia Bakali, Brajendra C. Sutradhar, Mohamed Talea, Vinod Kumar Gupta and Florentín Smarandache. Their work appears in journals such as Computers & Mathematics with Applications, Computational Statistics & Data Analysis, The Engineering Economist, Biometrical Journal and Journal of Intelligent & Fuzzy Systems.

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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