Markus Roters

683 citations
31 papers · 383 · h-index 10

Impact in

Papers in

Markus Roters

27 papers receiving 360 citations

Peers

Markus Roters
Comparison fields: 5 of 61
  • Statistics and Probability 283
  • Management Science and Operations Research 160
  • Statistics, Probability and Uncertainty 44
  • Applied Mathematics 16
  • Finance 13
Replace Ian James with:
Ian James Australia
Ben Boukai United States
Jean‐Marie Rolin Belgium
Klaus J. Utikal Germany
Ivana Štajner-Papuga Serbia
Feng Qin China
Leonard Goddard Australia
Umberto Rivieccio Brazil
Şenol Dost Türkiye
Sheldon P. Gordon United States
Markus Roters relative to Ian James Australia Ian James's profile →
Citations per field
00.5×5.9×
Ian James · 1×
Citations per year

Countries citing papers authored by Markus Roters

Since Specialization
Citations

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

Fields of papers citing papers by Markus Roters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Markus Roters, 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 Markus Roters Line = papers co-authored together Markus Roters links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200186
2 200269
3 200947
4 199822
5
Dependency and false discovery rate: asymptotics
201618
6 200717
7
LOG-CONCAVITY AND INEQUALITIES FOR CHI-SQUARE, F AND BETA DISTRIBUTIONS WITH APPLICATIONS IN MULTIPLE COMPARISONS
199717
8 199416
9 199314
10 201511
11 19997
12 19946
13 20006
14 20016
15 19985
16 19945
17 20004
18 20074
19 20024
20 20003

About Markus Roters

Markus Roters is a scholar working on Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, Statistics, Probability and Uncertainty and Mathematical Physics, having authored 31 papers that have together received 383 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (12 papers), Statistical Distribution Estimation and Applications (10 papers), Optimal Experimental Design Methods (8 papers), Probability and Risk Models (7 papers), Advanced Statistical Process Monitoring (5 papers), Stochastic processes and financial applications (4 papers), Statistical Methods and Bayesian Inference (4 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Statistics and Probability (283 citations), Management Science and Operations Research (160 citations), Statistics, Probability and Uncertainty (44 citations), Applied Mathematics (16 citations) and Finance (13 citations). Markus Roters has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Helmut Finner, Thorsten Dickhaus, John Haigh, Klaus Straßburger and H. Kastendieck. Their work appears in journals such as Journal of Applied Probability, The Annals of Statistics, Biometrical Journal, Journal of Statistical Planning and Inference and The American Statistician.

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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