Keyvan Golalipour
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- Seyedali MirjaliliMohsen ZareLaith AbualigahMojtaba GhasemiRasul EnayatifarMalrey LeeEbrahim AkbariAmir Zahedi
- Topics
- Metaheuristic Optimization Algorithms Research (4 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)Evolutionary Algorithms and Applications (3 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Journals
- Engineering Applications of Artificial IntelligenceAlexandria Engineering JournalMultimedia Tools and Applications
- Partner nations
- IranAustraliaSouth Korea
In The Last Decade
Keyvan Golalipour
7 papers receiving 290 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 141
- Electrical and Electronic Engineering 61
- Computer Vision and Pattern Recognition 57
- Control and Systems Engineering 48
- Computational Theory and Mathematics 43
Countries citing papers authored by Keyvan Golalipour
This map shows the geographic impact of Keyvan Golalipour'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 Keyvan Golalipour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyvan Golalipour more than expected).
Fields of papers citing papers by Keyvan Golalipour
This network shows the impact of papers produced by Keyvan Golalipour. 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 Keyvan Golalipour. The network helps show where Keyvan Golalipour may publish in the future.
Co-authorship network of co-authors of Keyvan Golalipour
This figure shows the co-authorship network connecting the top 25 collaborators of Keyvan Golalipour. A scholar is included among the top collaborators of Keyvan Golalipour 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 Keyvan Golalipour. Keyvan Golalipour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimizationbreakdown → | 57 |
| 2 | 23 | |
| 3 | 11 | |
| 4 | A Global Best-guided Firefly Algorithm for Engineering Problemsbreakdown → | 100 |
| 5 | 7 | |
| 6 | 85 | |
| 7 | 17 |
About Keyvan Golalipour
Keyvan Golalipour is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 300 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (141 citations), Computer Vision and Pattern Recognition (57 citations) and Computational Theory and Mathematics (43 citations). Keyvan Golalipour has collaborated with scholars based in Iran, Australia and South Korea. Frequent co-authors include Seyedali Mirjalili, Mohsen Zare, Laith Abualigah, Mojtaba Ghasemi, Rasul Enayatifar, Malrey Lee, Ebrahim Akbari, Amir Zahedi, Pavel Trojovský and Almoataz Y. Abdelaziz. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Alexandria Engineering Journal and Multimedia Tools and Applications.
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.