Janosch Ortmann
Impact in
- Statistics and Probability top 10%
- Random Matrices and Applications
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- Stochastic processes and statistical mechanics
Papers in
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- Stochastic processes and statistical mechanics 3
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- Random Matrices and Applications 4
- Co-authors
- Walter Rei (3 shared papers)Mike Hewitt (1 shared paper)Jeremy Quastel (2 shared papers)Daniel Remenik (2 shared papers)Neil O’Connell (1 shared paper)Benjamin Haibe‐Kains (2 shared papers)Wail Ba-Alawi (2 shared papers)Petr Smirnov (2 shared papers)
- Journals
- Communications on Pure and Applied Mathematics (1 paper)BMC Bioinformatics (1 paper)Blood Cancer Journal (1 paper)International Journal of Nursing Studies (1 paper)Computational Management Science (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Janosch Ortmann
14 papers receiving 193 citations
Peers
Comparison fields: 5 of 78
- Statistics and Probability 35
- Mathematical Physics 31
- Discrete Mathematics and Combinatorics 7
- Emergency Medical Services 11
- Condensed Matter Physics 18
Countries citing papers authored by Janosch Ortmann
This map shows the geographic impact of Janosch Ortmann'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 Janosch Ortmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janosch Ortmann more than expected).
Fields of papers citing papers by Janosch Ortmann
This network shows the impact of papers produced by Janosch Ortmann. 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 Janosch Ortmann. The network helps show where Janosch Ortmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Janosch Ortmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 31 | |
| 2 | 2021 | 28 | |
| 3 | 2020 | 27 | |
| 4 | 2024 | 20 | |
| 5 | 2023 | 17 | |
| 6 | 2021 | 16 | |
| 7 | EXACT FORMULAS FOR RANDOM GROWTH WITH HALF-FLAT INITIAL DATA | 2016 | 15 |
| 8 | 2014 | 14 | |
| 9 | 2016 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 4 | |
| 12 | 2012 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 2020 | 1 |
About Janosch Ortmann
Janosch Ortmann is a scholar working on Mathematical Physics, Statistics and Probability, Artificial Intelligence, Transportation and Management Science and Operations Research, having authored 14 papers that have together received 194 indexed citations. Recurring topics across this work include Random Matrices and Applications (4 papers), Stochastic processes and statistical mechanics (3 papers), Bayesian Methods and Mixture Models (3 papers), Transportation Planning and Optimization (2 papers), Capital Investment and Risk Analysis (1 paper), Supply Chain and Inventory Management (1 paper), Cancer Genomics and Diagnostics (1 paper) and Theoretical and Computational Physics (1 paper). The work is most often cited by research in Statistics and Probability (35 citations), Mathematical Physics (31 citations), Discrete Mathematics and Combinatorics (7 citations), Emergency Medical Services (11 citations) and Condensed Matter Physics (18 citations). Janosch Ortmann has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Walter Rei, Mike Hewitt, Jeremy Quastel, Daniel Remenik, Neil O’Connell, Benjamin Haibe‐Kains, Wail Ba-Alawi, Petr Smirnov, José Dolz and David Luck. Their work appears in journals such as Communications on Pure and Applied Mathematics, BMC Bioinformatics, Blood Cancer Journal, International Journal of Nursing Studies and Computational Management Science.
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.