Ali Eshragh

21 papers receiving 464 citations

Peers

Ali Eshragh
Comparison fields: 5 of 71
  • Strategy and Management 290
  • Management Information Systems 148
  • Industrial and Manufacturing Engineering 83
  • Marketing 64
  • Waste Management and Disposal 49
Replace Ahmad Sadeghieh with:
Ahmad Sadeghieh Iran
Soumen Kumar Das India
Mahdi Fathi United States
Seyed Mohammad Gholami-Zanjani Iran
Elisabetta Allevi Italy
Abolfazl Kazemi Iran
Hyesung Seok South Korea
M. Jeihoonian Iran
Soroush Avakh Darestani Iran
Konrad Zimmer Germany
Ali Eshragh relative to Ahmad Sadeghieh Iran Ahmad Sadeghieh's profile →
Citations per field
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Ahmad Sadeghieh · 1×
Citations per year

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-authors

The 20 scholars most cited alongside Ali Eshragh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ali Eshragh Line = papers co-authored together Ali Eshragh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015181
2 2014144
3 201550
4 201116
5 202013
6 200912
7 20209
8
A New Approach to Distribution Fitting: Decision on Beliefs
20098
9 20148
10 20116
11 20205
12 20205
13 20254
14 20193
15 20213
16 20193
17 20152
18
Hamiltonian Cycles and Subsets of Discounted Occupational Measures
20192
19 20251
20 20151

About Ali Eshragh

Ali Eshragh is a scholar working on Management Science and Operations Research, Statistics and Probability, Mathematical Physics, Management Information Systems and Control and Systems Engineering, having authored 21 papers that have together received 477 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (4 papers), Markov Chains and Monte Carlo Methods (3 papers), Sustainable Supply Chain Management (3 papers), Complex Systems and Time Series Analysis (2 papers), Optimization and Packing Problems (2 papers), Multi-Criteria Decision Making (2 papers), Supply Chain and Inventory Management (2 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Strategy and Management (290 citations), Management Information Systems (148 citations), Industrial and Manufacturing Engineering (83 citations), Marketing (64 citations) and Waste Management and Disposal (49 citations). Ali Eshragh has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Behnam Fahimnia, Joseph Sarkis, Alok Kumar Choudhary, Hoda Davarzani, Jerzy A. Filar, Hadi Charkhgard, Konstantin E. Avrachenkov, Elizabeth Stojanovski, Saed Alizamir and Peter Howley. Their work appears in journals such as Journal of Applied Probability, Computers & Operations Research, International Journal of Production Economics, Annals of Operations Research and Mathematics of Operations Research.

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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