Zümbül Atan

1.5k total citations · 1 hit paper
38 papers, 1.1k citations indexed

About

Zümbül Atan is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Zümbül Atan has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Management Information Systems, 15 papers in Strategy and Management and 14 papers in Industrial and Manufacturing Engineering. Recurrent topics in Zümbül Atan's work include Supply Chain and Inventory Management (28 papers), Advanced Queuing Theory Analysis (9 papers) and Sustainable Supply Chain Management (9 papers). Zümbül Atan is often cited by papers focused on Supply Chain and Inventory Management (28 papers), Advanced Queuing Theory Analysis (9 papers) and Sustainable Supply Chain Management (9 papers). Zümbül Atan collaborates with scholars based in Netherlands, United States and Iran. Zümbül Atan's co-authors include Lawrence Snyder, Ying Rong, Peng Peng, Amanda J. Schmitt, Ivo Adan, A.G. de Kok, Ali Shahandeh Nookabadi, Clara Stegehuis, Simme Douwe P. Flapper and Amir-Mohammad Golmohammadi and has published in prestigious journals such as Management Science, Journal of Cleaner Production and European Journal of Operational Research.

In The Last Decade

Zümbül Atan

36 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

OR/MS models for supply chain disruptions: a review

2015 544 citations Lawrence Snyder, Zümbül Atan et al. IIE Transactions profile →

Peers

Zümbül Atan

SM

MIS

IME

OBHRM

MSOR

Harpreet Kaur India

Hamid Davoudpour Iran

Amanda J. Schmitt United States

Ebrahim Teimoury Iran

Aliakbar Hasani Iran

Alireza Arshadi Khamseh Iran

Марина Іванова Russia

Nader Azad Iran

Virginia Spiegler United Kingdom

Carlos Julio Vidal Holguín Colombia

Harpreet Kaur India

Zümbül Atan

641 ×1.0

SM

417 ×0.7

MIS

166 ×0.6

IME

123 ×1.1

OBHRM

146 ×1.8

MSOR

Citations per year, relative to Zümbül Atan Zümbül Atan (= 1×) peers Harpreet Kaur

Countries citing papers authored by Zümbül Atan

Since Specialization

Citations

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

Fields of papers citing papers by Zümbül Atan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zümbül Atan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Adan, Ivo, et al.. (2025). Deep reinforcement learning for optimal planning of production line maintenance with deterioration. Reliability Engineering & System Safety. 266. 111767–111767. 1 indexed citations

2.

Atan, Zümbül, Dorothée Honhon, & Xiajun Amy Pan. (2025). Displaying and Discounting Perishables: Impact on Retail Profits and Waste. Management Science.

3.

Schrotenboer, Albert H., et al.. (2024). Optimal fulfillment and replenishment for omnichannel retailers with standard shipping contracts. European Journal of Operational Research. 323(2). 642–656.

4.

Adan, Ivo, et al.. (2024). Planning of multi-production line maintenance. Journal of Manufacturing Systems. 75. 174–193. 5 indexed citations

5.

Nookabadi, Ali Shahandeh, et al.. (2023). An oracle-based algorithm for robust planning of production routing problems in closed-loop supply chains of beverage glass bottles. Omega. 122. 102939–102939. 10 indexed citations

6.

Goli, Alireza, Erfan Babaee Tırkolaee, Amir-Mohammad Golmohammadi, et al.. (2023). A robust optimization model to design an IoT-based sustainable supply chain network with flexibility. Central European Journal of Operations Research. 33(3). 1025–1046. 36 indexed citations

7.

Adan, Ivo, et al.. (2023). Deep reinforcement learning for optimal planning of assembly line maintenance. Journal of Manufacturing Systems. 69. 170–188. 16 indexed citations

8.

Atan, Zümbül, Dorothée Honhon, & Xiajun Amy Pan. (2023). Displaying and Discounting Perishables: Impact on Retail Profits and Waste. SSRN Electronic Journal. 3 indexed citations

9.

Atan, Zümbül, et al.. (2022). Production, maintenance and resource scheduling: A review. European Journal of Operational Research. 305(2). 501–529. 80 indexed citations

10.

Jaarsveld, Willem van, et al.. (2021). Long-term resource planning in the high-tech industry: Capacity or inventory?. European Journal of Operational Research. 293(3). 926–940. 11 indexed citations

11.

Nookabadi, Ali Shahandeh, et al.. (2020). An optimal inventory policy for a multi-echelon closed-loop supply chain of postconsumer recycled content products. Operational Research. 22(3). 1887–1938. 13 indexed citations

12.

Atan, Zümbül, et al.. (2020). A continuous review policy for two complementary products with interrelated demand. Computers & Industrial Engineering. 150. 106980–106980. 9 indexed citations

13.

Atan, Zümbül, et al.. (2019). Optimal inventory and timing decisions for emergency shipments. IISE Transactions. 52(8). 904–925. 10 indexed citations

14.

Atan, Zümbül, et al.. (2018). Setting optimal planned leadtimes in configure-to-order assembly systems. European Journal of Operational Research. 273(2). 585–595. 15 indexed citations

15.

Atan, Zümbül, et al.. (2018). Newsvendor equations for production networks. Operations Research Letters. 46(6). 599–604. 6 indexed citations

16.

Atan, Zümbül, Lawrence Snyder, & George R. Wilson. (2017). Transshipment policies for systems with multiple retailers and two demand classes. OR Spectrum. 40(1). 159–186. 12 indexed citations

17.

Snyder, Lawrence, et al.. (2015). OR/MS models for supply chain disruptions: a review. IIE Transactions. 48(2). 89–109. 544 indexed citations breakdown →

18.

Atan, Zümbül, et al.. (2015). Setting Planned Leadtimes in Customer-Order-Driven Assembly Systems. Manufacturing & Service Operations Management. 18(1). 122–140. 20 indexed citations

19.

Atan, Zümbül, et al.. (2015). Inventory optimization for perishables subject to supply disruptions. Optimization Letters. 10(1). 89–108. 19 indexed citations

20.

Atan, Zümbül & Lawrence Snyder. (2009). Supply disruptions in one-warehouse multiple-retailer systems. 1 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.

Explore authors with similar magnitude of impact