Mohammad Dehghani
- Artificial Intelligence top 0.5%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 2%
- Computational Theory and Mathematics top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Pavel TrojovskýEva TrojovskáŠtěpán HubálovskýZeinab MontazeriO.P. MalikHadi GiviVíctor LeivaGaurav Dhiman
- Topics
- Metaheuristic Optimization Algorithms Research (29 papers)Advanced Multi-Objective Optimization Algorithms (24 papers)Evolutionary Algorithms and Applications (21 papers)
- Cited by
- Artificial IntelligenceEnergy Engineering and Power TechnologyComputational Theory and Mathematics
- Journals
- Scientific ReportsIEEE AccessSensors
In The Last Decade
Mohammad Dehghani
32 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 1.6k
- Electrical and Electronic Engineering 866
- Control and Systems Engineering 578
- Computational Theory and Mathematics 567
- Computer Vision and Pattern Recognition 368
Countries citing papers authored by Mohammad Dehghani
This map shows the geographic impact of Mohammad Dehghani'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 Mohammad Dehghani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Dehghani more than expected).
Fields of papers citing papers by Mohammad Dehghani
This network shows the impact of papers produced by Mohammad Dehghani. 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 Mohammad Dehghani. The network helps show where Mohammad Dehghani may publish in the future.
Co-authorship network of co-authors of Mohammad Dehghani
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Dehghani. A scholar is included among the top collaborators of Mohammad Dehghani 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 Mohammad Dehghani. Mohammad Dehghani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | Subtraction-Average-Based Optimizer: A New Swarm-Inspired Metaheuristic Algorithm for Solving Optimization Problemsbreakdown → | 148 |
| 3 | 41 | |
| 4 | A new bio-inspired metaheuristic algorithm for solving optimization problems based on walruses behaviorbreakdown → | 118 |
| 5 | Zebra Optimization Algorithm: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithmbreakdown → | 261 |
| 6 | Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problemsbreakdown → | 570 |
| 7 | 26 | |
| 8 | Tasmanian Devil Optimization: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithmbreakdown → | 164 |
| 9 | Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applicationsbreakdown → | 541 |
| 10 | 33 | |
| 11 | 39 | |
| 12 | 32 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 68 | |
| 16 | 50 | |
| 17 | 81 | |
| 18 | 66 | |
| 19 | 15 | |
| 20 | Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problemsbreakdown → | 334 |
About Mohammad Dehghani
Mohammad Dehghani is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 3.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (29 papers), Advanced Multi-Objective Optimization Algorithms (24 papers) and Evolutionary Algorithms and Applications (21 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Energy Engineering and Power Technology (121 citations) and Computational Theory and Mathematics (567 citations). Mohammad Dehghani has collaborated with scholars based in Czechia, Iran and Canada. Frequent co-authors include Pavel Trojovský, Eva Trojovská, Štěpán Hubálovský, Zeinab Montazeri, O.P. Malik, Hadi Givi, Víctor Leiva, Gaurav Dhiman, Osama Al-Baik and Saleh Ali Alomari. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.