Bero Roos

725 citations
35 papers · 367 · h-index 12

Impact in

    • Random Matrices and Applications
    • Statistical Distribution Estimation and Applications
    • Point processes and geometric inequalities
    • Mathematical functions and polynomials

Papers in

Bero Roos

31 papers receiving 317 citations

Peers

Bero Roos
Comparison fields: 5 of 48
  • Statistics and Probability 219
  • Applied Mathematics 121
  • Mathematical Physics 94
  • Discrete Mathematics and Combinatorics 28
  • Management Science and Operations Research 106
Replace V. Čekanavičius with:
V. Čekanavičius Lithuania
Vladimir Rotar Russia
G. P. Chistyakov Germany
Roelof Helmers Netherlands
Peter Eichelsbacher Germany
Владимир Гаврилович Михайлов Russia
L. Saulis Lithuania
István Fazekas Hungary
Guillaume Poly France
Roger Purves United States
Bero Roos relative to V. Čekanavičius Lithuania V. Čekanavičius's profile →
Citations per field
00.5×2.6×
V. Čekanavičius · 1×
Citations per year

Countries citing papers authored by Bero Roos

Since Specialization
Citations

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

Fields of papers citing papers by Bero Roos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Bero Roos, 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 Bero Roos Line = papers co-authored together Bero Roos 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 200140
2 199931
3 200128
4 200627
5 199926
6 200324
7 200319
8 200615
9 200412
10 200511
11 200211
12 199911
13 200010
14 199510
15 200610
16 200810
17 200310
18 20049
19 20068
20 20037

About Bero Roos

Bero Roos is a scholar working on Statistics and Probability, Artificial Intelligence, Applied Mathematics, Mathematical Physics and Management Science and Operations Research, having authored 35 papers that have together received 367 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (19 papers), Random Matrices and Applications (12 papers), Stochastic processes and statistical mechanics (9 papers), Probability and Risk Models (8 papers), Point processes and geometric inequalities (6 papers), Statistical Distribution Estimation and Applications (6 papers), Markov Chains and Monte Carlo Methods (4 papers) and Mathematical Inequalities and Applications (4 papers). The work is most often cited by research in Statistics and Probability (219 citations), Applied Mathematics (121 citations), Mathematical Physics (94 citations), Discrete Mathematics and Combinatorics (28 citations) and Management Science and Operations Research (106 citations). Bero Roos has collaborated with scholars based in Germany, Lithuania and United Kingdom. Frequent co-authors include V. Čekanavičius, Lutz Mattner and Dietmar Pfeifer. Their work appears in journals such as Bernoulli, Journal of Applied Probability, The Annals of Probability, Insurance Mathematics and Economics and Linear Algebra and its Applications.

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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