Madan L. Puri

9.0k citations
179 papers · 5.7k indexed · 3 hit papers · h-index 30

Madan L. Puri

160 papers receiving 5.1k citations

Hit Papers

Fuzzy random variables1.3k19722026199020084008001.2k

Peers

Madan L. Puri
Comparison fields: 5 of 174
  • Statistics and Probability 4.5k
  • Management Science and Operations Research 2.3k
  • Applied Mathematics 994
  • Modeling and Simulation 427
  • Finance 486
Replace Richard L. Dykstra with:
Richard L. Dykstra United States
Holger Dette Germany
R. L. Eubank United States
Irène Gijbels Belgium
Keith Knight Canada
Robert Kohn Australia
S. D. Silvey United Kingdom
Ya’acov Ritov Israel
Sara van de Geer Switzerland
Peter Hall Australia
Madan L. Puri relative to Richard L. Dykstra United States Richard L. Dykstra's profile →
Citations per field
00.5×6.9×
Richard L. Dykstra · 1×
Citations per year

Countries citing papers authored by Madan L. Puri

Since Specialization
Citations

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

Fields of papers citing papers by Madan L. Puri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madan L. Puri. 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 Madan L. Puri. The network helps show where Madan L. Puri may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Madan L. Puri, 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 Madan L. Puri Line = papers co-authored together Madan L. Puri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Linear Serial Rank Tests for Randomness Against Arma Alternatives
20189
2 20005
3 199625
4 19962
5
Statistical sciences and data analysis : proceedings of the Third Pacific Area Statistical Conference
19935
6 19931
7 19910
8 19908
9 198925
10 1986231
11
Fuzzy random variablesbreakdown →
19861299
12 198616
13 19854
14 19853
15 19845
16 198236
17 19790
18 197915
19 19731
20 196717

About Madan L. Puri

Madan L. Puri is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance, having authored 179 papers that have together received 5.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (57 papers), Advanced Statistical Methods and Models (46 papers), Statistical Distribution Estimation and Applications (33 papers), Probability and Risk Models (32 papers), Bayesian Methods and Mixture Models (29 papers), Financial Risk and Volatility Modeling (29 papers), Fuzzy Systems and Optimization (21 papers) and Multi-Criteria Decision Making (13 papers). The work is most often cited by research in Statistics and Probability (4.5k citations), Management Science and Operations Research (2.3k citations) and Applied Mathematics (994 citations). Madan L. Puri has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Dan A. Ralescu, Pranab Kumar Sen, Edgar Brunner, Olive Jean Dunn, Marc Hallin, W. R. Buckland, A. N. Pettitt, Ričardas Zitikis, Sujit Kumar Mitra and Michel Harel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Technometrics.

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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