Mark P. Van Oyen

3.2k total citations
91 papers, 2.4k citations indexed

About

Mark P. Van Oyen is a scholar working on Management Information Systems, Emergency Medical Services and Industrial and Manufacturing Engineering. According to data from OpenAlex, Mark P. Van Oyen has authored 91 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Management Information Systems, 24 papers in Emergency Medical Services and 24 papers in Industrial and Manufacturing Engineering. Recurrent topics in Mark P. Van Oyen's work include Advanced Queuing Theory Analysis (32 papers), Healthcare Operations and Scheduling Optimization (24 papers) and Scheduling and Optimization Algorithms (22 papers). Mark P. Van Oyen is often cited by papers focused on Advanced Queuing Theory Analysis (32 papers), Healthcare Operations and Scheduling Optimization (24 papers) and Scheduling and Optimization Algorithms (22 papers). Mark P. Van Oyen collaborates with scholars based in United States, Canada and United Kingdom. Mark P. Van Oyen's co-authors include Wallace J. Hopp, Seyed M. R. Iravani, Soroush Saghafian, Jonathan E. Helm, Eylem Tekin, Esma S. Gel, Eungab Kim, Jeffrey S. Desmond, Steven L. Kronick and Bora Kolfal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Management Science and European Journal of Operational Research.

In The Last Decade

Mark P. Van Oyen

88 papers receiving 2.3k citations

Peers

Mark P. Van Oyen

MIS

IME

EMS

MSOR

Gregory Dobson United States

Hüseyin Topaloğlu United States

Tillal Eldabi United Kingdom

Randolph W. Hall United States

Nico Dellaert Netherlands

Retsef Levi United States

Amir Ahmadi‐Javid Iran

Jiawei Zhang United States

Michael J. Magazine United States

Diwakar Gupta United States

Gregory Dobson United States

Mark P. Van Oyen

827 ×0.8

MIS

829 ×1.2

IME

238 ×0.5

EMS

250 ×0.7

MSOR

286 ×0.8

Citations per year, relative to Mark P. Van Oyen Mark P. Van Oyen (= 1×) peers Gregory Dobson

Countries citing papers authored by Mark P. Van Oyen

Since Specialization

Citations

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

Fields of papers citing papers by Mark P. Van Oyen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark P. Van Oyen. 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 Mark P. Van Oyen. The network helps show where Mark P. Van Oyen may publish in the future.

Co-authorship network of co-authors of Mark P. Van Oyen

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

All Works

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20 of 20 papers shown

Fu, Dun Jack, et al.. (2025). Validation of a Visual Field Prediction Tool for Glaucoma: A Multicenter Study Involving Patients With Glaucoma in the United Kingdom. American Journal of Ophthalmology. 272. 87–97. 1 indexed citations

Keyvanshokooh, Esmaeil, Mohammad Zhalechian, Cong Shi, Mark P. Van Oyen, & Pooyan Kazemian. (2025). Contextual Learning with Online Convex Optimization: Theory and Application to Medical Decision-Making. Management Science. 71(12). 10442–10464. 1 indexed citations

Lam, Henry, et al.. (2022). Quantile regression forests for individualized surgery scheduling. Health Care Management Science. 25(4). 682–709. 5 indexed citations

Oyen, Mark P. Van, et al.. (2021). Predicting rapid progression phases in glaucoma using a soft voting ensemble classifier exploiting Kalman filtering. Health Care Management Science. 24(4). 686–701. 5 indexed citations

Zhalechian, Mohammad, Mark P. Van Oyen, Mariel S. Lavieri, et al.. (2021). Augmenting Kalman Filter Machine Learning Models with Data from OCT to Predict Future Visual Field Loss. SHILAP Revista de lepidopterología. 2(1). 100097–100097. 5 indexed citations

Zhalechian, Mohammad, Esmaeil Keyvanshokooh, Cong Shi, & Mark P. Van Oyen. (2020). Personalized Hospital Admission Control: A Contextual Learning Approach. SSRN Electronic Journal. 1 indexed citations

Nitta, Koji, Mariel S. Lavieri, Mark P. Van Oyen, et al.. (2020). Comparing Perimetric Loss at Different Target Intraocular Pressures for Patients with High-Tension and Normal-Tension Glaucoma. Ophthalmology Glaucoma. 4(3). 251–259. 5 indexed citations

Keyvanshokooh, Esmaeil, Mohammad Zhalechian, Cong Shi, Mark P. Van Oyen, & Pooyan Kazemian. (2019). Contextual Learning with Online Convex Optimization: Theory and Application to Chronic Diseases. SSRN Electronic Journal. 2 indexed citations

Garcia, Gian‐Gabriel P., Koji Nitta, Mariel S. Lavieri, et al.. (2018). Using Kalman Filtering to Forecast Disease Trajectory for Patients With Normal Tension Glaucoma. American Journal of Ophthalmology. 199. 111–119. 28 indexed citations

10.

Cowen, Mark E., et al.. (2018). Data-driven optimization methodology for admission control in critical care units. Health Care Management Science. 22(2). 318–335. 7 indexed citations

11.

Kazemian, Pooyan, Mustafa Y. Sır, Mark P. Van Oyen, et al.. (2016). Coordinating clinic and surgery appointments to meet access service levels for elective surgery. Journal of Biomedical Informatics. 66. 105–115. 23 indexed citations

12.

Helm, Jonathan E., Mariel S. Lavieri, Mark P. Van Oyen, Joshua D. Stein, & David C. Musch. (2015). Dynamic Forecasting and Control Algorithms of Glaucoma Progression for Clinician Decision Support. Operations Research. 63(5). 979–999. 31 indexed citations

13.

Lavieri, Mariel S., et al.. (2014). Using Filtered Forecasting Techniques to Determine Personalized Monitoring Schedules for Patients with Open-Angle Glaucoma. Ophthalmology. 121(8). 1539–1546. 22 indexed citations

14.

Iravani, Seyed M. R., Bora Kolfal, & Mark P. Van Oyen. (2013). Call Center Labor Cross-Training: It's a Small World after All. SSRN Electronic Journal.

15.

Saghafian, Soroush & Mark P. Van Oyen. (2012). The value of flexible backup suppliers and disruption risk information: newsvendor analysis with recourse. IIE Transactions. 44(10). 834–867. 53 indexed citations

16.

Dong, Fang, Mark P. Van Oyen, & David J. Singer. (2011). Dynamic Control of a Flexible Shipbuilding System Under Conwip Discipline. 135–144. 1 indexed citations

17.

Helm, Jonathan E., Shervin AhmadBeygi, & Mark P. Van Oyen. (2011). Design and Analysis of Hospital Admission Control for Operational Effectiveness. Production and Operations Management. 20(3). 359–374. 115 indexed citations

18.

Bose, Abhijit, et al.. (2009). Priority-based routing with strict deadlines and server flexibility under uncertainty. Winter Simulation Conference. 3181–3188. 4 indexed citations

19.

Hopp, Wallace J., Eylem Tekin, & Mark P. Van Oyen. (2004). Benefits of Skill Chaining in Serial Production Lines with Cross-Trained Workers. Management Science. 50(1). 83–98. 238 indexed citations

20.

Oyen, Mark P. Van. (1992). Optimal stochastic scheduling of queueing networks: Switching costs and partial information.. Deep Blue (University of Michigan). 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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