M. M. Desu

1.5k total citations · 1 hit paper
28 papers, 1.2k citations indexed

About

M. M. Desu is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, M. M. Desu has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 7 papers in Management Science and Operations Research and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in M. M. Desu's work include Statistical Methods in Clinical Trials (10 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Distribution Estimation and Applications (8 papers). M. M. Desu is often cited by papers focused on Statistical Methods in Clinical Trials (10 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Distribution Estimation and Applications (8 papers). M. M. Desu collaborates with scholars based in United States, South Korea and Switzerland. M. M. Desu's co-authors include Elisa T. Lee, Stephen L. George, E. A. Gehan, Milton Sobel, S. Chakraborti, Seymour Axelrod, Uriel Halbreich, Subhash C. Narula, Bernardo Villarreal and Seymour Geisser and has published in prestigious journals such as Biometrika, Psychoneuroendocrinology and The American Statistician.

In The Last Decade

M. M. Desu

26 papers receiving 1.1k citations

Hit Papers

A computer program for comparing K samples with right-cen... 1972 2026 1990 2008 1972 200 400 600

Peers

M. M. Desu
Comparison fields: 5 of 147
  • Statistics and Probability 296
  • Oncology 223
  • Pulmonary and Respiratory Medicine 186
  • Surgery 161
  • Pathology and Forensic Medicine 100
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Young Jack Lee United States View profile →
Citations per field, relative to M. M. Desu
M. M. Desu · 1×
Citations per year, relative to M. M. Desu
M. M. Desu · 1×

Countries citing papers authored by M. M. Desu

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Desu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. M. Desu

This figure shows the co-authorship network connecting the top 25 collaborators of M. M. Desu. A scholar is included among the top collaborators of M. M. Desu 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 M. M. Desu. M. M. Desu 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 4
2 3
3 7
4 0
5 4
6 6
7 67
8 5
9 1
10 2
11 3
12 2
13 18
14 1
15 90
16 4
17 1
18
A computer program for comparing K samples with right-censored data breakdown →
674
19 3
20 23

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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