Ali Eshragh

652 total citations
20 papers, 426 citations indexed

About

Ali Eshragh is a scholar working on Control and Systems Engineering, Strategy and Management and Management Science and Operations Research. According to data from OpenAlex, Ali Eshragh has authored 20 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Strategy and Management and 4 papers in Management Science and Operations Research. Recurrent topics in Ali Eshragh's work include Sustainable Supply Chain Management (4 papers), Stochastic processes and statistical mechanics (3 papers) and Multi-Criteria Decision Making (2 papers). Ali Eshragh is often cited by papers focused on Sustainable Supply Chain Management (4 papers), Stochastic processes and statistical mechanics (3 papers) and Multi-Criteria Decision Making (2 papers). Ali Eshragh collaborates with scholars based in Australia, United States and Iran. Ali Eshragh's co-authors include Behnam Fahimnia, Joseph Sarkis, Alok Choudhary, Hoda Davarzani, Jerzy A. Filar, Hadi Charkhgard, Saed Alizamir, Peter Howley, Elizabeth Stojanovski and Marcus Gallagher and has published in prestigious journals such as PLoS ONE, International Journal of Production Economics and Computers & Operations Research.

In The Last Decade

Ali Eshragh

20 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Eshragh Australia	9	265	132	69	62	50	20	426
Ladimer S. Nagurney United States	13	197 0.7×	142 1.1×	33 0.5×	52 0.8×	23 0.5×	41	491
Arash Sepehri Iran	12	283 1.1×	264 2.0×	141 2.0×	40 0.6×	19 0.4×	20	478
Ahmad Sadeghieh Iran	10	207 0.8×	132 1.0×	88 1.3×	39 0.6×	16 0.3×	22	525
Arindam Garai India	10	194 0.7×	152 1.2×	40 0.6×	33 0.5×	17 0.3×	29	373
Ali Zahedi Mexico	8	293 1.1×	118 0.9×	89 1.3×	22 0.4×	14 0.3×	12	510
Babak Farhang Moghaddam Iran	11	258 1.0×	119 0.9×	185 2.7×	27 0.4×	28 0.6×	21	588
Ehsan Dehghani Iran	10	290 1.1×	176 1.3×	104 1.5×	11 0.2×	38 0.8×	25	483
Bahareh Kargar Iran	8	192 0.7×	121 0.9×	61 0.9×	24 0.4×	9 0.2×	9	422
Christophe Rapine France	14	249 0.9×	275 2.1×	369 5.3×	33 0.5×	29 0.6×	35	707

Countries citing papers authored by Ali Eshragh

Since Specialization

Citations

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

Fields of papers citing papers by Ali Eshragh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Eshragh

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

1.

Charkhgard, Hadi, et al.. (2025). Solving hard bi-objective knapsack problems using deep reinforcement learning. Discrete Optimization. 55. 100879–100879. 1 indexed citations

2.

Charkhgard, Hadi, et al.. (2025). Deep reinforcement learning for dynamic order picking in warehouse operations. Computers & Operations Research. 182. 107112–107112. 1 indexed citations

3.

Eshragh, Ali, Saed Alizamir, Peter Howley, & Elizabeth Stojanovski. (2020). Modeling the dynamics of the COVID-19 population in Australia: A probabilistic analysis. PLoS ONE. 15(10). e0240153–e0240153. 13 indexed citations

4.

Eshragh, Ali, Rasul Esmaeilbeigi, & Richard H. Middleton. (2020). An analytical bound on the fleet size in vehicle routing problems: A dynamic programming approach. Operations Research Letters. 48(3). 350–355. 5 indexed citations

5.

Eshragh, Ali, et al.. (2020). Average-reward model-free reinforcement learning: a systematic review and literature mapping. arXiv (Cornell University). 8 indexed citations

6.

Eshragh, Ali, et al.. (2019). The Importance of Environmental Factors in Forecasting Australian Power Demand. arXiv (Cornell University). 8 indexed citations

7.

Charkhgard, Hadi & Ali Eshragh. (2019). A NEW APPROACH TO SELECT THE BEST SUBSET OF PREDICTORS IN LINEAR REGRESSION MODELLING: BI-OBJECTIVE MIXED INTEGER LINEAR PROGRAMMING. The ANZIAM Journal. 61(1). 64–75. 3 indexed citations

8.

Charkhgard, Hadi & Ali Eshragh. (2019). A new approach to select the best subset of predictors in linear regression modelling: bi-objective mixed integer linear programming. ANZIAM Journal. 61. 64–64. 3 indexed citations

9.

Esmaeilbeigi, Rasul, et al.. (2017). Whey reverse logistics network design: a stochastic hierarchical facility location model. 1 indexed citations

10.

Bean, Nigel, Ali Eshragh, & Joshua V. Ross. (2016). Fisher Information for a partially observable simple birth process. Communication in Statistics- Theory and Methods. 45(24). 7161–7183. 1 indexed citations

11.

Bean, Nigel, Robert J. Elliott, Ali Eshragh, & Joshua V. Ross. (2015). On Binomial Observations of Continuous-Time Markovian Population Models. Journal of Applied Probability. 52(2). 457–472. 2 indexed citations

12.

Fahimnia, Behnam, Joseph Sarkis, & Ali Eshragh. (2015). A tradeoff model for green supply chain planning:A leanness-versus-greenness analysis. Omega. 54. 173–190. 162 indexed citations

13.

Bean, Nigel, Robert J. Elliott, Ali Eshragh, & Joshua V. Ross. (2015). On Binomial Observations of Continuous-Time Markovian Population Models. Journal of Applied Probability. 52(2). 457–472. 1 indexed citations

14.

Fahimnia, Behnam, Hoda Davarzani, & Ali Eshragh. (2015). Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms. Computers & Operations Research. 89. 241–252. 46 indexed citations

15.

Fahimnia, Behnam, Joseph Sarkis, Alok Choudhary, & Ali Eshragh. (2014). Tactical supply chain planning under a carbon tax policy scheme: A case study. International Journal of Production Economics. 164. 206–215. 135 indexed citations

16.

Avrachenkov, Konstantin, Ali Eshragh, & Jerzy A. Filar. (2014). On transition matrices of Markov chains corresponding to Hamiltonian cycles. Annals of Operations Research. 243(1-2). 19–35. 3 indexed citations

17.

Eshragh, Ali, et al.. (2011). A Projection-Adapted Cross Entropy (PACE) method for transmission network planning. Energy Systems. 2(2). 189–208. 13 indexed citations

18.

Eshragh, Ali & Jerzy A. Filar. (2011). Hamiltonian Cycles, Random Walks, and Discounted Occupational Measures. Mathematics of Operations Research. 36(2). 258–270. 4 indexed citations

19.

Eshragh, Ali, et al.. (2009). A New Approach to Distribution Fitting: Decision on Beliefs. Journal of industrial and systems engineering.. 3(1). 56–71. 8 indexed citations

20.

Eshragh, Ali, et al.. (2009). A hybrid simulation-optimization algorithm for the Hamiltonian cycle problem. Annals of Operations Research. 189(1). 103–125. 8 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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