Min Tsao

948 citations
42 papers · 671 · h-index 15

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Statistical Distribution Estimation and Applications
    • Tree-ring climate responses
    • Meteorological Phenomena and Simulations

Papers in

Min Tsao

38 papers receiving 637 citations

Peers

Min Tsao
Comparison fields: 5 of 118
  • Statistics and Probability 264
  • Atmospheric Science 143
  • Global and Planetary Change 166
  • Finance 60
  • Statistics, Probability and Uncertainty 26
Replace Chansoo Kim with:
Chansoo Kim South Korea
Debasis Sengupta India
Sabyasachi Basu United States
Richard L. Schmoyer United States
Bård Støve Norway
Prem P. Talwar Canada
Jan Swanepoel South Africa
Sophie Dabo‐Niang France
Joan G. Staniswalis United States
Min Tsao relative to Chansoo Kim South Korea Chansoo Kim's profile →
Citations per field
00.5×3.2×
Chansoo Kim · 1×
Citations per year

Countries citing papers authored by Min Tsao

Since Specialization
Citations

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

Fields of papers citing papers by Min Tsao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200780
2 200274
3 200556
4 200344
5 199843
6 200642
7
Asymptotic Behaviour of the Variance Function
199336
8 201329
9 200328
10 200527
11 201321
12 201718
13 201017
14 200116
15 201414
16 200613
17 202312
18 199912
19 200410
20 201210

About Min Tsao

Min Tsao is a scholar working on Statistics and Probability, Control and Systems Engineering, Artificial Intelligence, Global and Planetary Change and Statistics, Probability and Uncertainty, having authored 42 papers that have together received 671 indexed citations. Recurring topics across this work include Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (19 papers), Advanced Statistical Methods and Models (18 papers), Advanced Statistical Process Monitoring (4 papers), Bayesian Methods and Mixture Models (4 papers), Control Systems and Identification (3 papers), Climate variability and models (3 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Statistics and Probability (264 citations), Atmospheric Science (143 citations), Global and Planetary Change (166 citations), Finance (60 citations) and Statistics, Probability and Uncertainty (26 citations). Min Tsao has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Francis W. Zwiers, Gengsheng Qin, Fan Wu, Debbie J. Dupuis, Kui Wu, Chong Liu, Bent Jørgensen, Xuebin Zhang, Julie Zhou and Xiao‐Hua Zhou. Their work appears in journals such as Canadian Journal of Statistics, Journal of Multivariate Analysis, The Annals of Statistics, Journal of Climate and Journal of Statistical Planning and Inference.

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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