S. Kotz

11.0k citations
8 papers · 7.2k indexed · 3 hit papers · h-index 6

S. Kotz

8 papers receiving 6.7k citations

Hit Papers

Continuous Univariate Distributions.5.9k199320262004201510002.0k3.0k4.0k5.0k

Peers

S. Kotz
Comparison fields: 5 of 205
  • Statistics and Probability 3.2k
  • Statistics, Probability and Uncertainty 1.6k
  • Finance 876
  • Management Science and Operations Research 912
  • Safety, Risk, Reliability and Quality 359
Replace Michael A. Stephens with:
Michael A. Stephens Canada
N. Balakrishnan Canada
Yasuhiro Omori Japan
Barry C. Arnold United States
Murray Rosenblatt United States
Adelchi Azzalini Italy
M. C. Jones United Kingdom
Walter R. Gilks United Kingdom
Luke Tierney United States
Joseph B. Kadane United States
S. Kotz relative to Michael A. Stephens Canada Michael A. Stephens's profile →
Citations per field
00.5×1.6×
Michael A. Stephens · 1×
Citations per year

Countries citing papers authored by S. Kotz

Since Specialization
Citations

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

Fields of papers citing papers by S. Kotz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside S. Kotz, 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 S. Kotz Line = papers co-authored together S. Kotz links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20077
2 200214
3
Continuous Univariate Distributions.Vol. 1breakdown →
1995625
4
Continuous Univariate Distributions.breakdown →
19955918
5 19945
6
Univariate Discrete Distributions.breakdown →
1993538
7 197795
8 19713

About S. Kotz

S. Kotz is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance, having authored 8 papers that have together received 7.2k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (3 papers), Bayesian Methods and Mixture Models (3 papers), Probability and Risk Models (2 papers), Advanced Clustering Algorithms Research (2 papers), Flood Risk Assessment and Management (1 paper), Financial Risk and Volatility Modeling (1 paper), Groundwater flow and contamination studies (1 paper) and Fecal contamination and water quality (1 paper). The work is most often cited by research in Statistics and Probability (3.2k citations), Statistics, Probability and Uncertainty (1.6k citations) and Finance (876 citations). S. Kotz has collaborated with scholars based in United States, Australia and Türkiye. Frequent co-authors include Norman L. Johnson, N. Balakrishnan, Yasuhiro Omori, S. Kocherlakota, Norman L. Johnson, N. Balakrishnan, Adrienne W. Kemp, Nicholas J. Ashbolt, Lucy Marshall and James A. Baldwin. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Journal of Computational and Applied Mathematics.

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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