Ilya Jackson

1.1k total citations · 2 hit papers
28 papers, 560 citations indexed

About

Ilya Jackson is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Ilya Jackson has authored 28 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Industrial and Manufacturing Engineering, 12 papers in Management Information Systems and 9 papers in Management Science and Operations Research. Recurrent topics in Ilya Jackson's work include Supply Chain and Inventory Management (8 papers), Scheduling and Optimization Algorithms (8 papers) and Simulation Techniques and Applications (5 papers). Ilya Jackson is often cited by papers focused on Supply Chain and Inventory Management (8 papers), Scheduling and Optimization Algorithms (8 papers) and Simulation Techniques and Applications (5 papers). Ilya Jackson collaborates with scholars based in United States, Latvia and Germany. Ilya Jackson's co-authors include Dmitry Ivanov, Jafar Namdar, Alexandre Dolgui, Tobias Reggelin, Sebastian Lang, Marcel Müller, María Jesús Sáenz, Amin Kaboli, Mostafa Nick and Juri Tolujew and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Production Research and Applied Sciences.

In The Last Decade

Ilya Jackson

25 papers receiving 528 citations

Hit Papers

A review on reinforcement learning algorithms and applica... 2022 2026 2023 2024 2022 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilya Jackson United States 11 224 200 167 76 64 28 560
Joren Gijsbrechts Belgium 10 313 1.4× 173 0.9× 99 0.6× 87 1.1× 70 1.1× 14 505
N. R. Srinivasa Raghavan India 15 328 1.5× 258 1.3× 183 1.1× 80 1.1× 39 0.6× 39 663
K.H. Leung Hong Kong 15 98 0.4× 280 1.4× 95 0.6× 53 0.7× 38 0.6× 34 644
Hans Ehm Germany 13 203 0.9× 268 1.3× 145 0.9× 74 1.0× 47 0.7× 68 490
Tonči Grubić United Kingdom 13 193 0.9× 159 0.8× 146 0.9× 37 0.5× 45 0.7× 20 598
Herbert Jodlbauer Austria 17 221 1.0× 356 1.8× 130 0.8× 107 1.4× 27 0.4× 73 764
Harry K.H. Chow Hong Kong 10 203 0.9× 230 1.1× 118 0.7× 56 0.7× 28 0.4× 18 553
Markus Ettl United States 14 462 2.1× 233 1.2× 170 1.0× 149 2.0× 46 0.7× 39 736
Gregor von Cieminski Germany 15 147 0.7× 324 1.6× 80 0.5× 48 0.6× 40 0.6× 28 548
Leon McGinnis United States 12 194 0.9× 249 1.2× 73 0.4× 127 1.7× 24 0.4× 44 471

Countries citing papers authored by Ilya Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Ilya Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Jackson. A scholar is included among the top collaborators of Ilya Jackson 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 Ilya Jackson. Ilya Jackson 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.
Jackson, Ilya, et al.. (2025). A data-driven and context-aware approach for demand forecasting in the beverage industry. International Journal of Logistics Research and Applications. 1–28.
2.
Jackson, Ilya, Dmitry Ivanov, Alexandre Dolgui, & Jafar Namdar. (2024). Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation. International Journal of Production Research. 62(17). 6120–6145. 136 indexed citations breakdown →
3.
Jackson, Ilya, Jafar Namdar, & María Jesús Sáenz. (2024). Revolutionize Cold Chain: An AI/ML Driven Approach to Overcome Capacity Shortages. SSRN Electronic Journal. 1 indexed citations
4.
Jackson, Ilya & Dmitry Ivanov. (2023). A beautiful shock? Exploring the impact of pandemic shocks on the accuracy of AI forecasting in the beauty care industry. Transportation Research Part E Logistics and Transportation Review. 180. 103360–103360. 17 indexed citations
5.
Jackson, Ilya, María Jesús Sáenz, & Dmitry Ivanov. (2023). From natural language to simulations: applying AI to automate simulation modelling of logistics systems. International Journal of Production Research. 62(4). 1434–1457. 53 indexed citations
6.
Jackson, Ilya, et al.. (2023). Synchromodal Supply Chains for Fast-Moving Consumer Goods. Applied Sciences. 13(5). 3119–3119. 3 indexed citations
7.
Jackson, Ilya, et al.. (2023). AI-based forecasting for optimised solar energy management and smart grid efficiency. International Journal of Production Research. 62(13). 4623–4644. 39 indexed citations
8.
Lang, Sebastian, et al.. (2023). A Scoping Review on Dynamic Networks in Supply Chains. IFAC-PapersOnLine. 56(2). 203–214. 3 indexed citations
9.
Jackson, Ilya, et al.. (2023). Do Natural Language Processing models understand simulations? Application of GPT-3 to translate simulation source code to English. IFAC-PapersOnLine. 56(2). 221–226. 3 indexed citations
10.
Jackson, Ilya. (2022). AutoML Approach to Stock Keeping Units Segmentation. Journal of theoretical and applied electronic commerce research. 17(4). 1512–1528. 2 indexed citations
11.
Jackson, Ilya, et al.. (2022). Potential of vision-enhanced floating car data for urban traffic estimation. Transportation research procedia. 62. 366–373. 2 indexed citations
12.
13.
Jackson, Ilya, et al.. (2022). AN EMULATION ORIENTED METHOD AND TOOL FOR TEST OF GROUND TRAFFIC CONTROL SYSTEMS AT AIRPORTS. SHILAP Revista de lepidopterología. 26(2). 104–111. 3 indexed citations
14.
Jackson, Ilya, et al.. (2021). Adaptive Supply Chain: Demand–Supply Synchronization Using Deep Reinforcement Learning. Algorithms. 14(8). 240–240. 31 indexed citations
15.
Jackson, Ilya, et al.. (2020). Digital Twin as a Decision Support Tool for Airport Traffic Control. 1–5. 21 indexed citations
16.
Jackson, Ilya, et al.. (2020). Review of Inventory Control Models: A Classification Based on Methods of Obtaining Optimal Control Parameters. Transport and Telecommunication Journal. 21(3). 191–202. 15 indexed citations
17.
Jackson, Ilya, et al.. (2019). Metamodelling of Inventory-Control Simulations Based on a Multilayer Perceptron. Transport and Telecommunication Journal. 20(3). 251–259. 7 indexed citations
18.
Jackson, Ilya. (2019). COMBINING SIMULATION WITH GENETIC ALGORITHM FOR SOLVING STOCHASTIC MULTI-PRODUCT INVENTORY OPTIMIZATION PROBLEM. SHILAP Revista de lepidopterología. 130(4). 96–102.
19.
Jackson, Ilya. (2019). Simulation-Optimisation Approach to Stochastic Inventory Control with Perishability. ICT Role for Next Generation Universitie (Riga Technical University). 22. 9–14. 3 indexed citations
20.
Tolujew, Juri, Irina Yatskiv, Ilya Jackson, & Tobias Reggelin. (2018). Dynamic model of the passenger flow on Rail Baltica. 2018 Winter Simulation Conference (WSC). 3096–3107. 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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