Serhan Ziya

2.1k total citations
38 papers, 1.5k citations indexed

About

Serhan Ziya is a scholar working on Management Information Systems, Emergency Medical Services and Emergency Medicine. According to data from OpenAlex, Serhan Ziya has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Information Systems, 18 papers in Emergency Medical Services and 15 papers in Emergency Medicine. Recurrent topics in Serhan Ziya's work include Advanced Queuing Theory Analysis (16 papers), Healthcare Operations and Scheduling Optimization (13 papers) and Emergency and Acute Care Studies (11 papers). Serhan Ziya is often cited by papers focused on Advanced Queuing Theory Analysis (16 papers), Healthcare Operations and Scheduling Optimization (13 papers) and Emergency and Acute Care Studies (11 papers). Serhan Ziya collaborates with scholars based in United States, Hong Kong and United Kingdom. Serhan Ziya's co-authors include Nilay Tanık Argon, Nan Liu, Vidyadhar G. Kulkarni, Göker Aydın, Robert D. Foley, Hayriye Ayhan, Alex F. Mills, Hüseyin Topaloğlu, Jacob Feldman and Evin Uzun Jacobson and has published in prestigious journals such as IEEE Transactions on Automatic Control, Management Science and European Journal of Operational Research.

In The Last Decade

Serhan Ziya

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Serhan Ziya United States	20	783	489	445	436	210	38	1.5k
Nan Liu China	19	779 1.0×	380 0.8×	505 1.1×	346 0.8×	170 0.8×	59	1.4k
Sergei Savin United States	20	622 0.8×	631 1.3×	664 1.5×	246 0.6×	474 2.3×	50	1.9k
Diwas Singh KC United States	18	434 0.6×	262 0.5×	529 1.2×	281 0.6×	140 0.7×	37	1.4k
Kenneth J. Klassen Canada	16	951 1.2×	224 0.5×	518 1.2×	495 1.1×	198 0.9×	22	1.3k
Thomas R. Rohleder Canada	16	823 1.1×	310 0.6×	441 1.0×	412 0.9×	219 1.0×	47	1.4k
Jerrold H. May United States	26	1.1k 1.4×	271 0.6×	368 0.8×	433 1.0×	411 2.0×	70	2.3k
Linda V. Green United States	22	1.3k 1.7×	938 1.9×	739 1.7×	712 1.6×	389 1.9×	33	2.5k
Jongkun Jun South Korea	12	663 0.8×	136 0.3×	376 0.8×	192 0.4×	203 1.0×	19	1.4k
Edieal J. Pinker United States	21	301 0.4×	729 1.5×	328 0.7×	146 0.3×	548 2.6×	67	1.6k
Mor Armony United States	22	470 0.6×	1.5k 3.1×	224 0.5×	174 0.4×	342 1.6×	40	2.1k

Countries citing papers authored by Serhan Ziya

Since Specialization

Citations

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

Fields of papers citing papers by Serhan Ziya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Serhan Ziya. 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 Serhan Ziya. The network helps show where Serhan Ziya may publish in the future.

Co-authorship network of co-authors of Serhan Ziya

This figure shows the co-authorship network connecting the top 25 collaborators of Serhan Ziya. A scholar is included among the top collaborators of Serhan Ziya 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 Serhan Ziya. Serhan Ziya 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

Cheng, Qian, et al.. (2024). An Investigation into Demographic Disparities in Emergency Department Disposition Decisions. Production and Operations Management. 34(4). 689–697. 2 indexed citations

Heese, H. Sebastian, et al.. (2023). Pricing for services with cross-segment externalities, capacity constraints, and competition. European Journal of Operational Research. 313(2). 801–813. 3 indexed citations

Patel, Mehul D., Qian Cheng, Nilay Tanık Argon, et al.. (2023). Patient sex, racial and ethnic disparities in emergency department triage: A multi-site retrospective study. The American Journal of Emergency Medicine. 76. 29–35. 3 indexed citations

Argon, Nilay Tanık, et al.. (2022). Disparities in emergency department prioritization and rooming of patients with similar triage acuity score. Academic Emergency Medicine. 29(11). 1320–1328. 5 indexed citations

Argon, Nilay Tanık, et al.. (2022). Using Hospital Admission Predictions at Triage for Improving Patient Length of Stay in Emergency Departments. Operations Research. 71(5). 1733–1755. 4 indexed citations

Cheng, Qian, et al.. (2021). Forecasting emergency department hourly occupancy using time series analysis. The American Journal of Emergency Medicine. 48. 177–182. 27 indexed citations

Argon, Nilay Tanık, et al.. (2021). Assigning Priorities (or Not) in Service Systems with Nonlinear Waiting Costs. Management Science. 68(2). 1233–1255. 1 indexed citations

Chen, Wanyi, Nilay Tanık Argon, Kenneth K. Lopiano, et al.. (2019). The effects of emergency department crowding on triage and hospital admission decisions. The American Journal of Emergency Medicine. 38(4). 774–779. 37 indexed citations

Argon, Nilay Tanık, et al.. (2018). Assigning Priorities (or Not) in Service Systems with Nonlinear Waiting Costs. SSRN Electronic Journal. 1 indexed citations

10.

Ziya, Serhan, et al.. (2017). Pricing and Capacity Allocation for Shared Services. Manufacturing & Service Operations Management. 19(2). 230–245. 24 indexed citations

11.

Argon, Nilay Tanık, et al.. (2016). Comparison of emergency department crowding scores: a discrete-event simulation approach. Health Care Management Science. 21(1). 144–155. 53 indexed citations

12.

Feldman, Jacob, Nan Liu, Hüseyin Topaloğlu, & Serhan Ziya. (2014). Appointment Scheduling Under Patient Preference and No-Show Behavior. Operations Research. 62(4). 794–811. 150 indexed citations

13.

Foster, Elyse, et al.. (2010). A Spoonful of Math Helps the Medicine Go Down: An Illustration of How Healthcare can Benefit from Mathematical Modeling and Analysis. BMC Medical Research Methodology. 10(1). 60–60. 17 indexed citations

14.

Argon, Nilay Tanık & Serhan Ziya. (2009). Priority Assignment Under Imperfect Information on Customer Type Identities. Manufacturing & Service Operations Management. 11(4). 674–693. 50 indexed citations

15.

Liu, Nan, Serhan Ziya, & Vidyadhar G. Kulkarni. (2009). Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations. Manufacturing & Service Operations Management. 12(2). 347–364. 252 indexed citations

16.

Aydın, Göker & Serhan Ziya. (2008). Pricing Promotional Products Under Upselling. Manufacturing & Service Operations Management. 10(3). 360–376. 55 indexed citations

17.

Ziya, Serhan, Hayriye Ayhan, Robert D. Foley, & Erol A. Peköz. (2006). A monotonicity result for a G/GI/c queue with balking or reneging. Journal of Applied Probability. 43(4). 1201–1205. 4 indexed citations

18.

Ziya, Serhan, Hayriye Ayhan, Robert D. Foley, & Erol A. Peköz. (2006). A monotonicity result for a G/GI/c queue with balking or reneging. Journal of Applied Probability. 43(4). 1201–1205.

19.

Ziya, Serhan, Hayriye Ayhan, & Robert D. Foley. (2005). Optimal prices for finite capacity queueing systems. Operations Research Letters. 34(2). 214–218. 31 indexed citations

20.

Ziya, Serhan, Hayriye Ayhan, & Robert D. Foley. (2002). Optimal Pricing for a Service Facility. 9 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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