Ehsan Ardjmand

1.1k total citations
37 papers, 844 citations indexed

About

Ehsan Ardjmand is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Ehsan Ardjmand has authored 37 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Industrial and Manufacturing Engineering, 5 papers in Management Information Systems and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Ehsan Ardjmand's work include Advanced Manufacturing and Logistics Optimization (13 papers), Scheduling and Optimization Algorithms (7 papers) and Optimization and Packing Problems (7 papers). Ehsan Ardjmand is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (13 papers), Scheduling and Optimization Algorithms (7 papers) and Optimization and Packing Problems (7 papers). Ehsan Ardjmand collaborates with scholars based in United States, Iran and Canada. Ehsan Ardjmand's co-authors include Gary R. Weckman, William A. Young, Iman Ghalehkhondabi, Manjeet Singh, Heman Shakeri, Nam‐Kyu Park, David F. Millie, Mohammad Jahedi, Marko Knežević and Ali Tavasoli and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Ehsan Ardjmand

36 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehsan Ardjmand United States 15 303 183 136 115 84 37 844
Amr Eltawil Egypt 18 421 1.4× 144 0.8× 228 1.7× 116 1.0× 47 0.6× 98 912
Chefi Triki Italy 20 472 1.6× 165 0.9× 257 1.9× 209 1.8× 156 1.9× 86 1.3k
Alysson M. Costa Australia 24 737 2.4× 117 0.6× 93 0.7× 162 1.4× 96 1.1× 56 1.3k
Cihan Çetinkaya Türkiye 15 154 0.5× 170 0.9× 172 1.3× 185 1.6× 187 2.2× 40 996
Iman Ghalehkhondabi United States 13 91 0.3× 172 0.9× 62 0.5× 104 0.9× 128 1.5× 25 578
Desmond Eseoghene Ighravwe Nigeria 15 99 0.3× 159 0.9× 106 0.8× 183 1.6× 96 1.1× 79 715
Kejun Zhu China 14 110 0.4× 136 0.7× 104 0.8× 343 3.0× 98 1.2× 42 1.1k
Juan F. Gómez Fernández Spain 15 165 0.5× 206 1.1× 85 0.6× 70 0.6× 92 1.1× 49 995
J. Carlos Garcı́a-Dı́az Spain 17 177 0.6× 109 0.6× 27 0.2× 78 0.7× 31 0.4× 47 723

Countries citing papers authored by Ehsan Ardjmand

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Ardjmand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Ardjmand

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Ardjmand. A scholar is included among the top collaborators of Ehsan Ardjmand 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 Ehsan Ardjmand. Ehsan Ardjmand 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.
Tavasoli, Ali, et al.. (2024). The art of interconnections: Achieving maximum algebraic connectivity in multilayer networks. Network Science. 12(3). 261–288.
2.
Ardjmand, Ehsan, et al.. (2024). A guided twin delayed deep deterministic reinforcement learning for vaccine allocation in human contact networks. Applied Soft Computing. 167. 112322–112322. 2 indexed citations
3.
Tavasoli, Ali, et al.. (2023). Competitive pricing under local network effects. European Journal of Operational Research. 311(2). 545–566. 5 indexed citations
4.
Amin‐Naseri, Mohammad Reza, et al.. (2021). A modified unconscious search algorithm for data clustering. Evolutionary Intelligence. 15(3). 1667–1693. 1 indexed citations
5.
Ardjmand, Ehsan, et al.. (2021). A multi-objective two-echelon location-routing problem for cash logistics: A metaheuristic approach. Applied Soft Computing. 111. 107685–107685. 20 indexed citations
6.
Karimi, Hossein, et al.. (2021). Time slot management in selective pickup and delivery problem with mixed time windows. Computers & Industrial Engineering. 159. 107512–107512. 9 indexed citations
7.
Shakeri, Heman, Ali Tavasoli, Ehsan Ardjmand, & Pietro Poggi‐Corradini. (2020). Designing optimal multiplex networks for certain Laplacian spectral properties. Physical review. E. 102(2). 22302–22302. 2 indexed citations
8.
Ardjmand, Ehsan, Manjeet Singh, Heman Shakeri, Ali Tavasoli, & William A. Young. (2020). Mitigating the risk of infection spread in manual order picking operations: A multi-objective approach. Applied Soft Computing. 100. 106953–106953. 16 indexed citations
9.
Ardjmand, Ehsan, et al.. (2019). Using Portfolio Theory to Design Better Exams. SSRN Electronic Journal. 1 indexed citations
10.
Ardjmand, Ehsan, et al.. (2018). A Multi-Objective Model for Minimizing Makespan and Total Travel Time in Put Wall Based Picking Systems. International Journal of Logistics Systems and Management. 35(1). 1–1. 1 indexed citations
11.
Ardjmand, Ehsan, et al.. (2018). Using list-based simulated annealing and genetic algorithm for order batching and picker routing in put wall based picking systems. Applied Soft Computing. 75. 106–119. 42 indexed citations
12.
Ghalehkhondabi, Iman, Ehsan Ardjmand, William A. Young, & Gary R. Weckman. (2017). Water demand forecasting: review of soft computing methods. Environmental Monitoring and Assessment. 189(7). 313–313. 86 indexed citations
13.
Jahedi, Mohammad, Ehsan Ardjmand, & Marko Knežević. (2017). Microstructure metrics for quantitative assessment of particle size and dispersion: Application to metal-matrix composites. Powder Technology. 311. 226–238. 25 indexed citations
14.
Ghalehkhondabi, Iman, Ehsan Ardjmand, Gary R. Weckman, & William A. Young. (2016). An overview of energy demand forecasting methods published in 2005–2015. Energy Systems. 8(2). 411–447. 157 indexed citations
15.
Ardjmand, Ehsan, David F. Millie, Iman Ghalehkhondabi, William A. Young, & Gary R. Weckman. (2016). A State-Based Sensitivity Analysis for Distinguishing the Global Importance of Predictor Variables in Artificial Neural Networks. 2016. 1–11. 5 indexed citations
16.
Ghalehkhondabi, Iman, Ehsan Ardjmand, & Gary R. Weckman. (2016). Integrated decision making model for pricing and locating the customer order decoupling point of a newsvendor supply chain. OPSEARCH. 54(2). 417–439. 6 indexed citations
17.
Ghalehkhondabi, Iman, Ehsan Ardjmand, William A. Young, & Gary R. Weckman. (2016). Application of decision support systems in scheduling/planning of manufacturing/service systems: a critical review. International Journal of Management and Decision Making. 15(1). 1–1. 2 indexed citations
18.
Ardjmand, Ehsan. (2015). An Interactive Intelligent Decision Support System for Integration of Inventory, Planning, Scheduling and Revenue Management. OhioLink ETD Center (Ohio Library and Information Network). 3 indexed citations
19.
Ardjmand, Ehsan, Nam‐Kyu Park, Gary R. Weckman, & Mohammad Reza Amin‐Naseri. (2014). The discrete Unconscious search and its application to uncapacitated facility location problem. Computers & Industrial Engineering. 73. 32–40. 14 indexed citations
20.
Millie, David F., Gary R. Weckman, William A. Young, et al.. (2013). Coastal ‘Big Data’ and nature-inspired computation: Prediction potentials, uncertainties, and knowledge derivation of neural networks for an algal metric. Estuarine Coastal and Shelf Science. 125. 57–67. 14 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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