Tõnu Kollo

1.0k citations
25 papers · 589 · h-index 10

Impact in

    • Advanced Statistical Methods and Models
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Random Matrices and Applications

Papers in

Tõnu Kollo

25 papers receiving 563 citations

Peers

Tõnu Kollo
Comparison fields: 5 of 101
  • Statistics and Probability 332
  • Computational Mathematics 7
  • Finance 93
  • Statistics, Probability and Uncertainty 52
  • Applied Mathematics 52
Replace L. R. Haff with:
L. R. Haff United States
Jacques Dauxois France
Yves Romain France
M. Pourahmadi United States
Erricos John Kontoghiorghes United Kingdom
A. G. Constantine Australia
Ivan Mizera Canada
Tatsuya Kubokawa Japan
Claudia Kirch Germany
Xiangrong Yin United States
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Citations per field
00.5×8.4×
L. R. Haff · 1×
Citations per year

Countries citing papers authored by Tõnu Kollo

Since Specialization
Citations

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

Fields of papers citing papers by Tõnu Kollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005277
2 200867
3 199349
4 201143
5 200428
6 199520
7 199715
8 199514
9 199810
10 19979
11 20039
12 20007
13 20156
14 20115
15 20074
16 20214
17 19954
18 20233
19 20003
20 20173

About Tõnu Kollo

Tõnu Kollo is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Applied Mathematics, having authored 25 papers that have together received 589 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (8 papers), Random Matrices and Applications (8 papers), Bayesian Methods and Mixture Models (7 papers), Probabilistic and Robust Engineering Design (4 papers), Matrix Theory and Algorithms (4 papers), Advanced Statistical Methods and Models (3 papers), Point processes and geometric inequalities (2 papers) and Statistical and numerical algorithms (2 papers). The work is most often cited by research in Statistics and Probability (332 citations), Computational Mathematics (7 citations), Finance (93 citations), Statistics, Probability and Uncertainty (52 citations) and Applied Mathematics (52 citations). Tõnu Kollo has collaborated with scholars based in Estonia, Sweden and Canada. Frequent co-authors include Dietrich von Rosen, Heinz Neudecker, Muni S. Srivastava, Mani Srivastava, Götz Trenkler, Shuangzhe Liu, Kai‐Tai Fang, Tatjana von Rosen, Oskar Maria Baksalary and Koit Mauring. Their work appears in journals such as Journal of Multivariate Analysis, Scandinavian Journal of Statistics, Statistical Papers, Linear Algebra and its Applications and Annals of the Institute of Statistical 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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