Janosch Ortmann
Impact in
- Statistics and Probability top 10%
- Random Matrices and Applications
Papers in
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- Random Matrices and Applications 3
-
- Stochastic processes and statistical mechanics 2
- Co-authors
- Walter Rei (3 shared papers)Mike Hewitt (1 shared paper)Neil O’Connell (1 shared paper)Wail Ba-Alawi (2 shared papers)Petr Smirnov (2 shared papers)Benjamin Haibe‐Kains (2 shared papers)Anna Goldenberg (1 shared paper)Yang Ding (1 shared paper)
- Journals
- Production and Operations Management (1 paper)Electronic Journal of Probability (1 paper)BMC Bioinformatics (1 paper)Frontiers in Neuroscience (1 paper)International Journal of Nursing Studies (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Janosch Ortmann
13 papers receiving 155 citations
Peers
Comparison fields: 5 of 79
- Statistics and Probability 21
- Leadership and Management 3
- Emergency Medical Services 17
- Mathematical Physics 17
- Discrete Mathematics and Combinatorics 6
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 | 30 | |
| 2 | 2020 | 25 | |
| 3 | 2021 | 21 | |
| 4 | 2021 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2024 | 13 | |
| 7 | 2014 | 13 | |
| 8 | 2016 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 4 | |
| 11 | 2012 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2018 | 1 |
About Janosch Ortmann
Janosch Ortmann is a scholar working on Statistics and Probability, Mathematical Physics, Artificial Intelligence, General Health Professions and Transportation, having authored 13 papers that have together received 156 indexed citations. Recurring topics across this work include Random Matrices and Applications (3 papers), Bayesian Methods and Mixture Models (3 papers), Stochastic processes and statistical mechanics (2 papers), Transportation Planning and Optimization (2 papers), Cell Image Analysis Techniques (1 paper), Computational Drug Discovery Methods (1 paper), Healthcare professionals’ stress and burnout (1 paper) and Global Health Workforce Issues (1 paper). The work is most often cited by research in Statistics and Probability (21 citations), Leadership and Management (3 citations), Emergency Medical Services (17 citations), Mathematical Physics (17 citations) and Discrete Mathematics and Combinatorics (6 citations). Janosch Ortmann has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Walter Rei, Mike Hewitt, Neil O’Connell, Wail Ba-Alawi, Petr Smirnov, Benjamin Haibe‐Kains, Anna Goldenberg, Yang Ding, Ming‐Sound Tsao and Jeremy Quastel. Their work appears in journals such as Production and Operations Management, Electronic Journal of Probability, BMC Bioinformatics, Frontiers in Neuroscience and International Journal of Nursing Studies.
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.