Vahid Seydi
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Aerospace Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Mohammad TeshnehlabMahdi Aliyari ShoorehdeliSomayyeh ChamaaniSeyed Abdullah MirtaheriMitra MirzarezaeeMehdi HosseinzadehYeganeh MadadiKamal Nasrollahi
- Topics
- Metaheuristic Optimization Algorithms Research (10 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)Evolutionary Algorithms and Applications (8 papers)
- Partner nations
- IranUnited KingdomDenmark
In The Last Decade
Vahid Seydi
20 papers receiving 270 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 133
- Electrical and Electronic Engineering 54
- Control and Systems Engineering 46
- Aerospace Engineering 30
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by Vahid Seydi
This map shows the geographic impact of Vahid Seydi'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 Vahid Seydi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vahid Seydi more than expected).
Fields of papers citing papers by Vahid Seydi
This network shows the impact of papers produced by Vahid Seydi. 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 Vahid Seydi. The network helps show where Vahid Seydi may publish in the future.
Co-authorship network of co-authors of Vahid Seydi
This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Seydi. A scholar is included among the top collaborators of Vahid Seydi 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 Vahid Seydi. Vahid Seydi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 26 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 24 | |
| 16 | 4 | |
| 17 | 0 | |
| 18 | 7 | |
| 19 | 88 | |
| 20 | 1 |
About Vahid Seydi
Vahid Seydi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 26 papers that have together received 287 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Evolutionary Algorithms and Applications (8 papers). The work is most often cited by research in Artificial Intelligence (133 citations), Control and Systems Engineering (46 citations) and Computational Theory and Mathematics (28 citations). Vahid Seydi has collaborated with scholars based in Iran, United Kingdom and Denmark. Frequent co-authors include Mohammad Teshnehlab, Mahdi Aliyari Shoorehdeli, Somayyeh Chamaani, Seyed Abdullah Mirtaheri, Mitra Mirzarezaee, Mehdi Hosseinzadeh, Yeganeh Madadi, Kamal Nasrollahi, Reshad Hosseini and Thomas B. Moeslund. Their work appears in journals such as Machine Learning, Applied Intelligence and Electromagnetic waves.
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.