Jens O. Brunner

2.4k total citations · 1 hit paper
70 papers, 1.6k citations indexed

About

Jens O. Brunner is a scholar working on Management Science and Operations Research, Emergency Medical Services and Emergency Medicine. According to data from OpenAlex, Jens O. Brunner has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Science and Operations Research, 30 papers in Emergency Medical Services and 16 papers in Emergency Medicine. Recurrent topics in Jens O. Brunner's work include Healthcare Operations and Scheduling Optimization (26 papers), Scheduling and Timetabling Solutions (23 papers) and Hospital Admissions and Outcomes (10 papers). Jens O. Brunner is often cited by papers focused on Healthcare Operations and Scheduling Optimization (26 papers), Scheduling and Timetabling Solutions (23 papers) and Hospital Admissions and Outcomes (10 papers). Jens O. Brunner collaborates with scholars based in Germany, Denmark and United States. Jens O. Brunner's co-authors include Andreas Fügener, Jan Schoenfelder, Sebastian Kohl, Jonathan F. Bard, Rainer Kolisch, Raik Stolletz, Günther Edenharter, Claudia Traidl‐Hoffmann, Athanasios Damialis and Thomas Koperna and has published in prestigious journals such as The Science of The Total Environment, European Journal of Operational Research and Journal of Allergy and Clinical Immunology.

In The Last Decade

Jens O. Brunner

66 papers receiving 1.6k citations

Hit Papers

The use of Data Envelopment Analysis (DEA) in healthcare ... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals
    2018 284 citations Sebastian Kohl, Jan Schoenfelder et al. Health Care Management Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens O. Brunner Germany 21 834 588 399 374 208 70 1.6k
Andreas Fügener Germany 16 550 0.7× 458 0.8× 205 0.5× 337 0.9× 192 0.9× 26 1.4k
Marion S. Rauner Austria 17 399 0.5× 224 0.4× 110 0.3× 397 1.1× 75 0.4× 49 942
Soroush Saghafian United States 19 195 0.2× 324 0.6× 289 0.7× 329 0.9× 339 1.6× 71 1.4k
Jonathan Patrick Canada 16 182 0.2× 689 1.2× 145 0.4× 375 1.0× 322 1.5× 30 1.1k
Marcelo Olivares Chile 19 322 0.4× 233 0.4× 69 0.2× 389 1.0× 121 0.6× 44 1.5k
Murray J. Côté United States 18 159 0.2× 317 0.5× 170 0.4× 208 0.6× 138 0.7× 32 955
Li Luo China 19 291 0.3× 195 0.3× 64 0.2× 156 0.4× 114 0.5× 90 1.4k
Kumar Muthuraman United States 19 177 0.2× 534 0.9× 42 0.1× 501 1.3× 316 1.5× 47 1.1k
Nan Liu China 19 170 0.2× 779 1.3× 109 0.3× 505 1.4× 346 1.7× 59 1.4k
Hari Balasubramanian United States 19 169 0.2× 536 0.9× 428 1.1× 273 0.7× 249 1.2× 52 1.3k

Countries citing papers authored by Jens O. Brunner

Since Specialization
Citations

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

Fields of papers citing papers by Jens O. Brunner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jens O. Brunner. 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 Jens O. Brunner. The network helps show where Jens O. Brunner may publish in the future.

Co-authorship network of co-authors of Jens O. Brunner

This figure shows the co-authorship network connecting the top 25 collaborators of Jens O. Brunner. A scholar is included among the top collaborators of Jens O. Brunner 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 Jens O. Brunner. Jens O. Brunner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Brunner, Jens O., et al.. (2024). Optimizing physician schedules with resilient break assignments. Omega. 129. 103154–103154.
3.
Brunner, Jens O., et al.. (2023). Machine Learning–Supported Prediction of Dual Variables for the Cutting Stock Problem with an Application in Stabilized Column Generation. INFORMS journal on computing. 35(3). 692–709. 6 indexed citations
4.
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Brunner, Jens O., et al.. (2023). Stable annual scheduling of medical residents using prioritized multiple training schedules to combat operational uncertainty. European Journal of Operational Research. 309(3). 1263–1278. 2 indexed citations
6.
Vehreschild, Jörg Janne, Lutz Zabel, Christoph D. Spinner, et al.. (2022). COVIDAL: A Machine Learning Classifier for Digital COVID-19 Diagnosis in German Hospitals. ACM Transactions on Management Information Systems. 14(2). 1–16. 5 indexed citations
7.
Schoenfelder, Jan, et al.. (2022). A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy. RePEc: Research Papers in Economics. 52(6). 508–523. 11 indexed citations
8.
Brunner, Jens O., et al.. (2022). Analyzing the accuracy of variable returns to scale data envelopment analysis models. European Journal of Operational Research. 308(3). 1286–1301. 18 indexed citations
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Schoenfelder, Jan, et al.. (2021). Simulation-based evaluation of operating room management policies. BMC Health Services Research. 21(1). 271–271. 17 indexed citations
11.
Koperna, Thomas, et al.. (2020). Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks. Naval Research Logistics (NRL). 68(1). 65–88. 27 indexed citations
12.
Römmele, Christoph, Alanna Ebigbo, Tobias Weber, et al.. (2020). Bettenkapazitätssteuerung in Zeiten der COVID-19-Pandemie. Der Anaesthesist. 69(10). 717–725. 20 indexed citations
13.
14.
Fügener, Andreas, et al.. (2019). A robust framework for task-related resident scheduling. European Journal of Operational Research. 276(2). 656–675. 13 indexed citations
15.
Schmitt, Maximilian, Jens O. Brunner, Bernhard Bauer, et al.. (2019). Automated Classification of Airborne Pollen using Neural Networks. PubMed. 2019. 4474–4478. 20 indexed citations
16.
Kohl, Sebastian, Jan Schoenfelder, Andreas Fügener, & Jens O. Brunner. (2018). The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals. Health Care Management Science. 22(2). 245–286. 284 indexed citations breakdown →
17.
Fügener, Andreas, et al.. (2016). Material logistics in hospitals: A literature review. Omega. 69. 82–101. 126 indexed citations
18.
Fügener, Andreas, et al.. (2016). A column generation approach for the integrated shift and task scheduling problem of logistics assistants in hospitals. European Journal of Operational Research. 260(1). 316–334. 19 indexed citations
19.
Brunner, Jens O., Jonathan F. Bard, & Rainer Kolisch. (2010). Midterm scheduling of physicians with flexible shifts using branch and price. IIE Transactions. 43(2). 84–109. 60 indexed citations
20.
Brunner, Jens O.. (2010). Flexible Shift Planning in the Service Industry. Lecture notes in economics and mathematical systems. 4 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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