Maryam Karimi-Mamaghan

670 total citations · 1 hit paper
6 papers, 445 citations indexed

About

Maryam Karimi-Mamaghan is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Maryam Karimi-Mamaghan has authored 6 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 2 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Maryam Karimi-Mamaghan's work include Vehicle Routing Optimization Methods (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Scheduling and Optimization Algorithms (2 papers). Maryam Karimi-Mamaghan is often cited by papers focused on Vehicle Routing Optimization Methods (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Scheduling and Optimization Algorithms (2 papers). Maryam Karimi-Mamaghan collaborates with scholars based in France, Iran and Canada. Maryam Karimi-Mamaghan's co-authors include Mehrdad Mohammadi, Patrick Meyer, El‐Ghazali Talbi, Bastien Pasdeloup, Amir Pirayesh, Hadi Badri Ahmadi, Payman Jula, Stéphane Dauzère‐Pérès, Claude Yugma and Seyed Reza Hejazi and has published in prestigious journals such as European Journal of Operational Research, Computers & Operations Research and Transportation Research Part E Logistics and Transportation Review.

In The Last Decade

Maryam Karimi-Mamaghan

6 papers receiving 430 citations

Hit Papers

Machine learning at the service of meta-heuristics for so... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maryam Karimi-Mamaghan France 6 257 122 49 48 42 6 445
Ni Du China 7 240 0.9× 90 0.7× 54 1.1× 40 0.8× 13 0.3× 7 384
Saïd Hanafi France 15 449 1.7× 117 1.0× 53 1.1× 40 0.8× 83 2.0× 21 579
Jinghua Hao China 12 339 1.3× 85 0.7× 110 2.2× 40 0.8× 49 1.2× 26 488
Andrei Soeanu Canada 10 117 0.5× 67 0.5× 44 0.9× 40 0.8× 41 1.0× 22 311
Maroua Nouiri France 8 474 1.8× 122 1.0× 82 1.7× 39 0.8× 20 0.5× 15 660
Francisco Ángel-Bello Mexico 16 521 2.0× 86 0.7× 71 1.4× 55 1.1× 83 2.0× 28 630
Jianping Dou China 15 582 2.3× 70 0.6× 34 0.7× 52 1.1× 24 0.6× 34 705
Seyed Mahdi Homayouni Iran 13 555 2.2× 67 0.5× 69 1.4× 23 0.5× 69 1.6× 36 728
Mohammad Amin Adibi Iran 9 455 1.8× 94 0.8× 88 1.8× 30 0.6× 18 0.4× 22 588
Laura Galli Italy 12 311 1.2× 44 0.4× 49 1.0× 34 0.7× 38 0.9× 41 560

Countries citing papers authored by Maryam Karimi-Mamaghan

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Karimi-Mamaghan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maryam Karimi-Mamaghan. 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 Maryam Karimi-Mamaghan. The network helps show where Maryam Karimi-Mamaghan may publish in the future.

Co-authorship network of co-authors of Maryam Karimi-Mamaghan

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Karimi-Mamaghan. A scholar is included among the top collaborators of Maryam Karimi-Mamaghan 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 Maryam Karimi-Mamaghan. Maryam Karimi-Mamaghan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Karimi-Mamaghan, Maryam, Mehrdad Mohammadi, Bastien Pasdeloup, & Patrick Meyer. (2022). Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem. European Journal of Operational Research. 304(3). 1296–1330. 84 indexed citations
2.
Hejazi, Seyed Reza, et al.. (2021). Capacitated location routing problem with simultaneous pickup and delivery under the risk of disruption. RAIRO - Operations Research. 55(3). 1371–1399. 11 indexed citations
3.
Karimi-Mamaghan, Maryam, et al.. (2021). Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art. European Journal of Operational Research. 296(2). 393–422. 270 indexed citations breakdown →
4.
Karimi-Mamaghan, Maryam, Mehrdad Mohammadi, Payman Jula, Amir Pirayesh, & Hadi Badri Ahmadi. (2020). A learning-based metaheuristic for a multi-objective agile inspection planning model under uncertainty. European Journal of Operational Research. 285(2). 513–537. 28 indexed citations
5.
Karimi-Mamaghan, Maryam, et al.. (2020). Hub-and-spoke network design under congestion: A learning based metaheuristic. Transportation Research Part E Logistics and Transportation Review. 142. 102069–102069. 34 indexed citations
6.
Mohammadi, Mehrdad, Stéphane Dauzère‐Pérès, Claude Yugma, & Maryam Karimi-Mamaghan. (2019). A queue-based aggregation approach for performance evaluation of a production system with an AMHS. Computers & Operations Research. 115. 104838–104838. 18 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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