Amir Zahedi

10 papers receiving 420 citations

Hit Papers

Geyser Inspired Algorithm: A New Geological-inspired Meta...2023202620242025202320234080120

Peers

Amir Zahedi
Comparison fields: 5 of 87
  • Artificial Intelligence 174
  • Electrical and Electronic Engineering 119
  • Aerospace Engineering 80
  • Computer Vision and Pattern Recognition 62
  • Computational Theory and Mathematics 56
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Yue Xu China
Chengtian Ouyang China
Ghodrat Sepidnam Iran
Sven Gronauer Germany
Sanchita Basak United States
Jason Brownlee Australia
Ricardo Tanscheit Brazil
Caiyang Yu China
Sujin Kim South Korea
Seyed Mostafa Bozorgi Iran
Amir Zahedi relative to Yue Xu China Yue Xu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amir Zahedi

Since Specialization
Citations

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

Fields of papers citing papers by Amir Zahedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Zahedi

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 5
2 74
3
Geyser Inspired Algorithm: A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimizationbreakdown →
143
4
A Global Best-guided Firefly Algorithm for Engineering Problemsbreakdown →
100
5 43
6 4
7 2
8 2
9 55
10 10

About Amir Zahedi

Amir Zahedi is a scholar working on Aerospace Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 10 papers that have together received 438 indexed citations. Recurring topics across this work include Antenna Design and Analysis (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Antenna Design and Optimization (4 papers). The work is most often cited by research in Artificial Intelligence (174 citations), Industrial and Manufacturing Engineering (38 citations) and Computational Theory and Mathematics (56 citations). Amir Zahedi has collaborated with scholars based in Iran, Jordan and Australia. Frequent co-authors include Mohsen Zare, Mojtaba Ghasemi, Laith Abualigah, Seyedali Mirjalili, Mohammad‐Amin Akbari, Bijan Abbasi Arand, Keyvan Golalipour, Eva Trojovská, Pavel Trojovský and Massoud Moslehpour. Their work appears in journals such as IEEE Access, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Antennas and Propagation.

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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