Peter T. Vanberkel

1.4k total citations
43 papers, 947 citations indexed

About

Peter T. Vanberkel is a scholar working on Emergency Medical Services, Emergency Medicine and Economics and Econometrics. According to data from OpenAlex, Peter T. Vanberkel has authored 43 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Emergency Medical Services, 12 papers in Emergency Medicine and 11 papers in Economics and Econometrics. Recurrent topics in Peter T. Vanberkel's work include Healthcare Operations and Scheduling Optimization (22 papers), Healthcare Policy and Management (9 papers) and Emergency and Acute Care Studies (8 papers). Peter T. Vanberkel is often cited by papers focused on Healthcare Operations and Scheduling Optimization (22 papers), Healthcare Policy and Management (9 papers) and Emergency and Acute Care Studies (8 papers). Peter T. Vanberkel collaborates with scholars based in Canada, Netherlands and United States. Peter T. Vanberkel's co-authors include Erwin W. Hans, Richard J. Boucherie, Johann L. Hurink, John T. Blake, Nelly Litvak, Wim H. van Harten, Wineke A.M. van Lent, Nikky Kortbeek, Mengyu Li and Alix Carter and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of the Operational Research Society.

In The Last Decade

Peter T. Vanberkel

38 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter T. Vanberkel Canada 15 523 243 236 189 173 43 947
Mehmet A. Begen Canada 16 485 0.9× 211 0.9× 181 0.8× 161 0.9× 185 1.1× 56 1.0k
Jan Vissers Netherlands 17 714 1.4× 255 1.0× 323 1.4× 162 0.9× 247 1.4× 33 1.1k
Xiuli Qu United States 19 397 0.8× 244 1.0× 260 1.1× 109 0.6× 104 0.6× 39 1.1k
Jonathan Patrick Canada 16 689 1.3× 322 1.3× 375 1.6× 194 1.0× 182 1.1× 30 1.1k
Andreas Fügener Germany 16 458 0.9× 192 0.8× 337 1.4× 234 1.2× 550 3.2× 26 1.4k
Thomas R. Rohleder Canada 16 823 1.6× 412 1.7× 441 1.9× 310 1.6× 219 1.3× 47 1.4k
Murat M. Günal Türkiye 13 630 1.2× 229 0.9× 333 1.4× 128 0.7× 221 1.3× 36 923
Nan Liu China 19 779 1.5× 346 1.4× 505 2.1× 380 2.0× 170 1.0× 59 1.4k
Serhan Ziya United States 20 783 1.5× 436 1.8× 445 1.9× 489 2.6× 210 1.2× 38 1.5k
Kumar Muthuraman United States 19 534 1.0× 316 1.3× 501 2.1× 165 0.9× 177 1.0× 47 1.1k

Countries citing papers authored by Peter T. Vanberkel

Since Specialization
Citations

This map shows the geographic impact of Peter T. Vanberkel'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 Peter T. Vanberkel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Vanberkel more than expected).

Fields of papers citing papers by Peter T. Vanberkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter T. Vanberkel. 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 Peter T. Vanberkel. The network helps show where Peter T. Vanberkel may publish in the future.

Co-authorship network of co-authors of Peter T. Vanberkel

This figure shows the co-authorship network connecting the top 25 collaborators of Peter T. Vanberkel. A scholar is included among the top collaborators of Peter T. Vanberkel 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 Peter T. Vanberkel. Peter T. Vanberkel 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
1.
Rajabi, Enayat, et al.. (2025). Developing a decision support tool to predict delayed discharge from hospitals using machine learning. BMC Health Services Research. 25(1). 56–56.
2.
Vanberkel, Peter T., et al.. (2024). A systematic literature review of predicting patient discharges using statistical methods and machine learning. Health Care Management Science. 27(3). 458–478. 4 indexed citations
3.
Rajabi, Enayat, et al.. (2024). Alternate Level of Care Patients in Canada: a Scoping Review. Canadian Geriatrics Journal. 27(4). 519–530.
4.
Khan, Faisal, et al.. (2024). A hierarchical Bayesian network-based semi-mechanistic model for handling data variabilities in dynamical process systems. Computers & Chemical Engineering. 185. 108659–108659. 10 indexed citations
5.
6.
Venkatadri, Uday, et al.. (2023). PPE Supply Optimization Under Risks of Disruption from the COVID-19 Pandemic. Operations Research Forum. 4(2). 1 indexed citations
7.
Vanberkel, Peter T., et al.. (2023). Day and Night: Locating the General Practitioner’s Panel after Hours. Applied Sciences. 13(10). 6273–6273.
8.
Fitzpatrick, Eleanor, et al.. (2023). Machine learning to identify attributes that predict patients who leave without being seen in a pediatric emergency department. Canadian Journal of Emergency Medicine. 25(8). 689–694. 4 indexed citations
9.
Amyotte, Paul, et al.. (2022). Non-Chemical Process Industry Applications of Bowtie Analysis. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Vanberkel, Peter T., et al.. (2022). Assessment of COVID-19 barrier effectiveness using process safety techniques. Process Safety and Environmental Protection. 168. 570–581. 4 indexed citations
11.
Holodinsky, Jessalyn K., et al.. (2021). Optimal Transport Scenario With Rotary Air Transport for Access to Endovascular Therapy Considering Patient Outcomes and Cost: A Modeling Study. Frontiers in Neurology. 12. 768381–768381. 2 indexed citations
12.
Vanberkel, Peter T., et al.. (2021). Simulation optimisation for mixing scheduled and walk-in patients. Health Systems. 11(4). 276–287. 3 indexed citations
13.
Li, Mengyu, Peter T. Vanberkel, & Alix Carter. (2018). A review on ambulance offload delay literature. Health Care Management Science. 22(4). 658–675. 41 indexed citations
14.
Vanberkel, Peter T., et al.. (2016). A general model to compute activity-based waste disposal costs for health care products. The Engineering Economist. 62(2). 132–145. 1 indexed citations
15.
Carter, Alix, et al.. (2015). Offload zones to mitigate emergency medical services (EMS) offload delay in the emergency department: a process map and hazard analysis. Canadian Journal of Emergency Medicine. 17(6). 670–678. 19 indexed citations
16.
Fügener, Andreas, Erwin W. Hans, Rainer Kolisch, Nikky Kortbeek, & Peter T. Vanberkel. (2014). Master surgery scheduling with consideration of multiple downstream units. European Journal of Operational Research. 239(1). 227–236. 106 indexed citations
17.
Hulshof, Peter J. H., Richard J. Boucherie, J. Theresia van Essen, et al.. (2011). ORchestra: an online reference database of OR/MS literature in health care. Health Care Management Science. 14(4). 383–384. 23 indexed citations
18.
Vanberkel, Peter T., Richard J. Boucherie, Erwin W. Hans, et al.. (2011). Accounting for Inpatient Wards When Developing Master Surgical Schedules. Anesthesia & Analgesia. 112(6). 1472–1479. 29 indexed citations
19.
Vanberkel, Peter T., Richard J. Boucherie, Erwin W. Hans, Johann L. Hurink, & Nelly Litvak. (2009). A Survey of Health Care Models that Encompass Multiple Departments. University of Twente Research Information. 1(1). 37–69. 121 indexed citations
20.
Vanberkel, Peter T., Richard J. Boucherie, Erwin W. Hans, et al.. (2008). Reallocating resources to focused factories: a case study in chemotherapy. University of Twente Research Information. 152–164. 7 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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