Willem van Jaarsveld

1.5k total citations
49 papers, 958 citations indexed

About

Willem van Jaarsveld is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management Science and Operations Research. According to data from OpenAlex, Willem van Jaarsveld has authored 49 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management Information Systems, 13 papers in Industrial and Manufacturing Engineering and 10 papers in Management Science and Operations Research. Recurrent topics in Willem van Jaarsveld's work include Supply Chain and Inventory Management (24 papers), Advanced Queuing Theory Analysis (8 papers) and Scheduling and Optimization Algorithms (7 papers). Willem van Jaarsveld is often cited by papers focused on Supply Chain and Inventory Management (24 papers), Advanced Queuing Theory Analysis (8 papers) and Scheduling and Optimization Algorithms (7 papers). Willem van Jaarsveld collaborates with scholars based in Netherlands, United States and China. Willem van Jaarsveld's co-authors include Rommert Dekker, Joren Gijsbrechts, Robert Boute, Ruud Teunter, Jacco Wallinga, Alan Scheller‐Wolf, Twan Dollevoet, Remco Dijkman, Joris van de Klundert and Ming Dong and has published in prestigious journals such as Management Science, European Journal of Operational Research and Operations Research.

In The Last Decade

Willem van Jaarsveld

42 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Willem van Jaarsveld Netherlands 17 323 235 192 188 161 49 958
Tapas K. Das United States 25 261 0.8× 193 0.8× 92 0.5× 269 1.4× 164 1.0× 80 1.7k
Nico Vandaele Belgium 23 632 2.0× 173 0.7× 515 2.7× 574 3.1× 91 0.6× 93 1.7k
Özgür M. Araz United States 18 192 0.6× 123 0.5× 230 1.2× 53 0.3× 217 1.3× 61 1.0k
Esma S. Gel United States 18 278 0.9× 191 0.8× 64 0.3× 427 2.3× 36 0.2× 57 937
Bhakti Stephan Onggo United Kingdom 21 285 0.9× 475 2.0× 304 1.6× 206 1.1× 137 0.9× 101 1.6k
Hassan Mina Iran 22 707 2.2× 528 2.2× 1.6k 8.5× 370 2.0× 146 0.9× 61 2.5k
Zoie Shui-Yee Wong Japan 19 55 0.2× 115 0.5× 96 0.5× 91 0.5× 87 0.5× 73 1.4k
Adel Fahad Alrasheedi Saudi Arabia 17 147 0.5× 192 0.8× 163 0.8× 76 0.4× 63 0.4× 106 920
Tinglong Dai United States 17 372 1.2× 164 0.7× 273 1.4× 52 0.3× 84 0.5× 75 1.1k
Rustam Vahidov Canada 16 308 1.0× 334 1.4× 139 0.7× 87 0.5× 12 0.1× 52 993

Countries citing papers authored by Willem van Jaarsveld

Since Specialization
Citations

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

Fields of papers citing papers by Willem van Jaarsveld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Willem van Jaarsveld. 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 Willem van Jaarsveld. The network helps show where Willem van Jaarsveld may publish in the future.

Co-authorship network of co-authors of Willem van Jaarsveld

This figure shows the co-authorship network connecting the top 25 collaborators of Willem van Jaarsveld. A scholar is included among the top collaborators of Willem van Jaarsveld 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 Willem van Jaarsveld. Willem van Jaarsveld 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.
Dijkman, Remco, et al.. (2025). Deep Controlled Learning for Inventory Control. European Journal of Operational Research. 324(1). 104–117. 6 indexed citations
2.
3.
Dellaert, Nico, et al.. (2025). Scalable deep reinforcement learning in the non-stationary capacitated lot sizing problem. International Journal of Production Economics. 284. 109601–109601.
4.
Mes, Martijn, et al.. (2024). A comparison of reinforcement learning policies for dynamic vehicle routing problems with stochastic customer requests. Computers & Industrial Engineering. 200. 110747–110747. 2 indexed citations
5.
Jaarsveld, Willem van, et al.. (2024). Scalable policies for the dynamic traveling multi-maintainer problem with alerts. European Journal of Operational Research. 319(1). 121–134. 2 indexed citations
6.
Jaarsveld, Willem van, et al.. (2024). Inventory Planning in Capacitated High-Tech Assembly Systems Under Non-Stationary Demand. SSRN Electronic Journal. 1 indexed citations
7.
Menkovski, Vlado, et al.. (2023). Deep Reinforcement Learning for One-Warehouse Multi-Retailer inventory management. International Journal of Production Economics. 267. 109088–109088. 12 indexed citations
8.
Figueira, Gonçalo, Willem van Jaarsveld, Pedro Amorim, & Jan C. Fransoo. (2022). The Impact of Committing to Customer Orders in Online Retail. Manufacturing & Service Operations Management. 25(1). 307–322. 7 indexed citations
9.
Akçay, Alp, et al.. (2022). Policies for the dynamic traveling maintainer problem with alerts. European Journal of Operational Research. 305(3). 1141–1152. 5 indexed citations
10.
Boute, Robert, et al.. (2021). Deep reinforcement learning for inventory control: A roadmap. European Journal of Operational Research. 298(2). 401–412. 106 indexed citations
11.
Jaarsveld, Willem van, et al.. (2021). Vendor-managed inventory in practice: understanding and mitigating the impact of supplier heterogeneity. International Journal of Production Research. 60(20). 6087–6103. 16 indexed citations
12.
Slikker, Marco, et al.. (2020). Core Nonemptiness of Stratified Pooling Games: A Structured Markov Decision Process Approach. Mathematics of Operations Research. 45(4). 1445–1465. 3 indexed citations
13.
Jaarsveld, Willem van, et al.. (2020). Dynamic barge planning with stochastic container arrivals. Transportation Research Part E Logistics and Transportation Review. 144. 102161–102161. 13 indexed citations
14.
Jaarsveld, Willem van, et al.. (2018). Literature review: The vaccine supply chain. European Journal of Operational Research. 268(1). 174–192. 164 indexed citations
15.
Dekker, Rommert, et al.. (2017). An improved method for forecasting spare parts demand using extreme value theory. European Journal of Operational Research. 261(1). 169–181. 39 indexed citations
16.
Jaarsveld, Willem van, et al.. (2016). The most efficient critical vaccination coverage and its equivalence with maximizing the herd effect. Data Archiving and Networked Services (DANS). 17 indexed citations
17.
Jaarsveld, Willem van, Twan Dollevoet, & Rommert Dekker. (2015). Improving spare parts inventory control at a repair shop. Omega. 57. 217–229. 32 indexed citations
18.
Jaarsveld, Willem van & Twan Dollevoet. (2011). Spare parts inventory control for an aircraft component repair shop. RePEc: Research Papers in Economics. 7 indexed citations
19.
Jaarsveld, Willem van. (2010). Estimating obsolescence risk from demand data - a case study. RePEc: Research Papers in Economics. 1–14. 1 indexed citations
20.
Jaarsveld, Willem van & Rommert Dekker. (2009). Finding optimal policies in the (S - 1, S ) lost sales inventory model with multiple demand classes. RePEc: Research Papers in Economics. 1–14. 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.

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2026