Tõnu Kollo

1.0k citations
35 papers · 684 · h-index 11

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

    • Statistical Distribution Estimation and Applications 13
    • Random Matrices and Applications 10
    • Advanced Statistical Methods and Models 6
    • Statistical Methods and Bayesian Inference 4
    • Bayesian Methods and Mixture Models 10

Tõnu Kollo

34 papers receiving 653 citations

Peers

Tõnu Kollo
Comparison fields: 5 of 105
  • Statistics and Probability 385
  • Computational Mathematics 8
  • Finance 126
  • Statistics, Probability and Uncertainty 64
  • Applied Mathematics 61
Replace L. R. Haff with:
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Citations per field
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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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005304
2 200875
3 199351
4 201145
5 200431
6 199526
7 201018
8 199516
9 199716
10 199811
11 199710
12 20039
13 20157
14 20007
15 20116
16 20075
17 20215
18 20055
19 19955
20 20004

About Tõnu Kollo

Tõnu Kollo is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Finance, having authored 35 papers that have together received 684 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (13 papers), Bayesian Methods and Mixture Models (10 papers), Random Matrices and Applications (10 papers), Advanced Statistical Methods and Models (6 papers), Probabilistic and Robust Engineering Design (5 papers), Matrix Theory and Algorithms (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Financial Risk and Volatility Modeling (4 papers). The work is most often cited by research in Statistics and Probability (385 citations), Computational Mathematics (8 citations), Finance (126 citations), Statistics, Probability and Uncertainty (64 citations) and Applied Mathematics (61 citations). Tõnu Kollo has collaborated with scholars based in Estonia, Sweden and Latvia. Frequent co-authors include Dietrich von Rosen, Heinz Neudecker, Muni S. Srivastava, Mani Srivastava, Tatjana von Rosen, Kai‐Tai Fang, Oskar Maria Baksalary, Götz Trenkler, Shuangzhe Liu and Alan H. Tkaczyk. Their work appears in journals such as Journal of Multivariate Analysis, Statistical Papers, Scandinavian Journal of Statistics, Linear Algebra and its Applications and Measurement Science and Technology.

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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