Mehrdad Kaveh

791 total citations · 1 hit paper
16 papers, 551 citations indexed

About

Mehrdad Kaveh is a scholar working on Artificial Intelligence, Organizational Behavior and Human Resource Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Mehrdad Kaveh has authored 16 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Organizational Behavior and Human Resource Management and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Mehrdad Kaveh's work include Metaheuristic Optimization Algorithms Research (5 papers), Facility Location and Emergency Management (4 papers) and Vehicle Routing Optimization Methods (4 papers). Mehrdad Kaveh is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Facility Location and Emergency Management (4 papers) and Vehicle Routing Optimization Methods (4 papers). Mehrdad Kaveh collaborates with scholars based in Iran, Spain and United States. Mehrdad Kaveh's co-authors include Mohammad Saadi Mesgari, Jianhao Wang, Hassan Ghasemzadeh Mohammadi, Mohammad Khishe, Bahram Saeidian, Masoud Kaveh, Diego Martín, Abolfazl Mollalo, Ali Khosravi and Nima Khodadadi and has published in prestigious journals such as Sensors, Computers & Industrial Engineering and Mathematics and Computers in Simulation.

In The Last Decade

Mehrdad Kaveh

15 papers receiving 532 citations

Hit Papers

Application of Meta-Heuristic Algorithms for Training Neu... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
    2022 147 citations Mehrdad Kaveh, Mohammad Saadi Mesgari Neural Processing Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mehrdad Kaveh Iran 11 235 84 60 57 56 16 551
Diana Manjarrés Spain 12 229 1.0× 142 1.7× 120 2.0× 104 1.8× 66 1.2× 26 644
Itziar Landa-Torres Spain 14 323 1.4× 162 1.9× 136 2.3× 134 2.4× 118 2.1× 28 829
Phil Kim South Korea 6 123 0.5× 59 0.7× 20 0.3× 34 0.6× 19 0.3× 14 413
Ricardo Tanscheit Brazil 12 293 1.2× 90 1.1× 54 0.9× 40 0.7× 33 0.6× 64 534
Nailah Al–Madi Jordan 11 312 1.3× 69 0.8× 47 0.8× 62 1.1× 32 0.6× 26 548
Lars Nolle United Kingdom 11 198 0.8× 83 1.0× 76 1.3× 60 1.1× 46 0.8× 65 522
Sona Taheri Australia 14 237 1.0× 44 0.5× 93 1.6× 40 0.7× 11 0.2× 49 563
Yuangang Li China 10 217 0.9× 44 0.5× 42 0.7× 48 0.8× 22 0.4× 26 505
Liming Zhang China 10 134 0.6× 41 0.5× 85 1.4× 65 1.1× 58 1.0× 58 506

Countries citing papers authored by Mehrdad Kaveh

Since Specialization
Citations

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

Fields of papers citing papers by Mehrdad Kaveh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehrdad Kaveh

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

All Works

16 of 16 papers shown
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2.
Kaveh, Mehrdad, et al.. (2025). A Novel Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran. ISPRS International Journal of Geo-Information. 14(2). 42–42. 4 indexed citations
3.
Kaveh, Mehrdad, Mohammad Saadi Mesgari, & Bahram Saeidian. (2023). Orchard Algorithm (OA): A new meta-heuristic algorithm for solving discrete and continuous optimization problems. Mathematics and Computers in Simulation. 208. 95–135. 57 indexed citations
4.
Kaveh, Mehrdad, et al.. (2023). Predicting PM10 Concentrations Using Evolutionary Deep Neural Network and Satellite-Derived Aerosol Optical Depth. Mathematics. 11(19). 4145–4145. 3 indexed citations
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Mesgari, Mohammad Saadi, et al.. (2023). A crossover-based multi-objective discrete particle swarm optimization model for solving multi-modal routing problems. Decision Analytics Journal. 9. 100356–100356. 13 indexed citations
7.
Kaveh, Mehrdad, Mohammad Saadi Mesgari, Diego Martín, & Masoud Kaveh. (2023). TDMBBO: a novel three-dimensional migration model of biogeography-based optimization (case study: facility planning and benchmark problems). The Journal of Supercomputing. 79(9). 9715–9770. 13 indexed citations
8.
Martín, Diego, et al.. (2022). A Novel Deep Supervised Learning-Based Approach for Intrusion Detection in IoT Systems. Sensors. 22(12). 4459–4459. 38 indexed citations
9.
Kaveh, Mehrdad & Mohammad Saadi Mesgari. (2022). Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review. Neural Processing Letters. 55(4). 4519–4622. 147 indexed citations breakdown →
10.
Mesgari, Mohammad Saadi, et al.. (2021). Spatio-temporal modeling of COVID-19 prevalence and mortality using artificial neural network algorithms. Spatial and Spatio-temporal Epidemiology. 40. 100471–100471. 36 indexed citations
11.
Wang, Jianhao, Mohammad Khishe, Mehrdad Kaveh, & Hassan Ghasemzadeh Mohammadi. (2021). Binary Chimp Optimization Algorithm (BChOA): a New Binary Meta-heuristic for Solving Optimization Problems. Cognitive Computation. 13(5). 1297–1316. 83 indexed citations
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Kaveh, Mehrdad, Mohammad Saadi Mesgari, & Ali Khosravi. (2020). Solving the local positioning problem using a four-layer artificial neural network. 7(4). 21–40. 9 indexed citations
14.
Kaveh, Mehrdad, et al.. (2020). Multiple criteria decision-making for hospital location-allocation based on improved genetic algorithm. Applied Geomatics. 12(3). 291–306. 53 indexed citations
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16.
Kaveh, Mehrdad & Mohammad Saadi Mesgari. (2019). Improved biogeography-based optimization using migration process adjustment: An approach for location-allocation of ambulances. Computers & Industrial Engineering. 135. 800–813. 41 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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