Janosch Ortmann

476 total citations
13 papers, 156 citations indexed

About

Janosch Ortmann is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Janosch Ortmann has authored 13 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Mathematical Physics and 3 papers in Artificial Intelligence. Recurrent topics in Janosch Ortmann's work include Bayesian Methods and Mixture Models (3 papers), Random Matrices and Applications (3 papers) and Transportation Planning and Optimization (2 papers). Janosch Ortmann is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Random Matrices and Applications (3 papers) and Transportation Planning and Optimization (2 papers). Janosch Ortmann collaborates with scholars based in Canada, United Kingdom and United States. Janosch Ortmann's co-authors include Walter Rei, Mike Hewitt, Neil O’Connell, Wail Ba-Alawi, Benjamin Haibe‐Kains, Petr Smirnov, Arvind Singh Mer, Kelley Kilpatrick, Christine L. Covell and Anna Goldenberg and has published in prestigious journals such as Cancer Research, BMC Bioinformatics and Communications on Pure and Applied Mathematics.

In The Last Decade

Janosch Ortmann

13 papers receiving 155 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Janosch Ortmann Canada 8 21 19 17 17 17 13 156
Kevin Houston United Kingdom 10 9 0.4× 15 0.8× 44 2.6× 53 3.1× 8 0.5× 48 310
Zhuang Ma China 6 18 0.9× 16 0.8× 78 4.6× 1 0.1× 5 0.3× 26 223
Andre Quina United States 4 21 1.0× 11 0.6× 36 2.1× 4 0.2× 7 265
Arturo López Pineda United States 8 45 2.1× 23 1.2× 82 4.8× 2 0.1× 16 366
Thomas Gallagher United States 6 10 0.5× 8 0.4× 39 2.3× 5 0.3× 14 332
Scott Askin Switzerland 5 23 1.1× 8 0.4× 38 2.2× 5 287
Gigi Hirsch United States 7 43 2.0× 15 0.8× 42 2.5× 1 0.1× 15 268
Qingxin Meng China 9 4 0.2× 11 0.6× 33 1.9× 12 0.7× 37 262
Jason C. Hsu Taiwan 11 30 1.4× 20 1.1× 20 1.2× 1 0.1× 37 245
Qi Jiang United States 12 195 9.3× 8 0.4× 21 1.2× 2 0.1× 37 382

Countries citing papers authored by Janosch Ortmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Janosch Ortmann

This figure shows the co-authorship network connecting the top 25 collaborators of Janosch Ortmann. A scholar is included among the top collaborators of Janosch Ortmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janosch Ortmann. Janosch Ortmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Horna, Pedro, Mathieu Ferrari, Gregory E. Otteson, et al.. (2024). Dual T-cell constant β chain (TRBC)1 and TRBC2 staining for the identification of T-cell neoplasms by flow cytometry. Blood Cancer Journal. 14(1). 34–34. 13 indexed citations
2.
Ortmann, Janosch, et al.. (2023). Problem-driven scenario clustering in stochastic optimization. Computational Management Science. 20(1). 15 indexed citations
3.
Ortmann, Janosch, et al.. (2023). A machine learning approach to deal with ambiguity in the humanitarian decision‐making. Production and Operations Management. 32(9). 2956–2974. 4 indexed citations
4.
Smirnov, Petr, Ian C. P. Smith, Zhaleh Safikhani, et al.. (2022). Evaluation of statistical approaches for association testing in noisy drug screening data. BMC Bioinformatics. 23(1). 188–188. 7 indexed citations
5.
Hewitt, Mike, Janosch Ortmann, & Walter Rei. (2021). Decision-based scenario clustering for decision-making under uncertainty. Annals of Operations Research. 315(2). 747–771. 21 indexed citations
6.
Ortmann, Janosch, et al.. (2021). Correlates of career satisfaction in internationally educated nurses: A cross-sectional survey-based study. International Journal of Nursing Studies. 117. 103899–103899. 16 indexed citations
7.
Ding, Yang, et al.. (2020). Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation. Frontiers in Neuroscience. 14. 207–207. 25 indexed citations
8.
Ortmann, Janosch, et al.. (2020). Major Projects Optimal Capacity and Timing with Time-To-Build and Investment Cost Dependency on Capacity. International Journal of Applied Decision Sciences. 13(1). 1–1. 1 indexed citations
9.
Mer, Arvind Singh, Wail Ba-Alawi, Petr Smirnov, et al.. (2019). Integrative Pharmacogenomics Analysis of Patient-Derived Xenografts. Cancer Research. 79(17). 4539–4550. 30 indexed citations
10.
Harnad, J. & Janosch Ortmann. (2018). Asymptotics of quantum weighted Hurwitz numbers. Journal of Physics A Mathematical and Theoretical. 51(22). 225201–225201. 1 indexed citations
11.
Ortmann, Janosch, Jeremy Quastel, & Daniel Remenik. (2016). A Pfaffian Representation for Flat ASEP. Communications on Pure and Applied Mathematics. 70(1). 3–89. 8 indexed citations
12.
O’Connell, Neil & Janosch Ortmann. (2014). Tracy-Widom asymptotics for a random polymer model with\n gamma-distributed weights. arXiv (Cornell University). 13 indexed citations
13.
Ortmann, Janosch. (2012). Large deviations for non-crossing partitions. Electronic Journal of Probability. 17(none). 2 indexed citations

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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2026