Afshin Faramarzi
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.5%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Mohammad HeidarinejadSeyedali MirjaliliBrent StephensAmir H. GandomiM.H. AfsharDan ZhaoJongki LeeParham Azimi
- Topics
- Building Energy and Comfort Optimization (3 papers)Metaheuristic Optimization Algorithms Research (3 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Partner nations
- United StatesAustraliaIran
In The Last Decade
Afshin Faramarzi
9 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 1.9k
- Computational Theory and Mathematics 952
- Electrical and Electronic Engineering 831
- Control and Systems Engineering 604
- Computer Vision and Pattern Recognition 440
Countries citing papers authored by Afshin Faramarzi
This map shows the geographic impact of Afshin Faramarzi'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 Afshin Faramarzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afshin Faramarzi more than expected).
Fields of papers citing papers by Afshin Faramarzi
This network shows the impact of papers produced by Afshin Faramarzi. 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 Afshin Faramarzi. The network helps show where Afshin Faramarzi may publish in the future.
Co-authorship network of co-authors of Afshin Faramarzi
This figure shows the co-authorship network connecting the top 25 collaborators of Afshin Faramarzi. A scholar is included among the top collaborators of Afshin Faramarzi 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 Afshin Faramarzi. Afshin Faramarzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 9 | |
| 4 | Marine Predators Algorithm: A nature-inspired metaheuristicbreakdown → | 1746 |
| 5 | 14 | |
| 6 | Equilibrium optimizer: A novel optimization algorithmbreakdown → | 1760 |
| 7 | 26 | |
| 8 | 13 | |
| 9 | 29 |
About Afshin Faramarzi
Afshin Faramarzi is a scholar working on Building and Construction, Environmental Engineering and Computational Theory and Mathematics, having authored 9 papers that have together received 3.6k indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Computational Theory and Mathematics (952 citations) and Control and Systems Engineering (604 citations). Afshin Faramarzi has collaborated with scholars based in United States, Australia and Iran. Frequent co-authors include Mohammad Heidarinejad, Seyedali Mirjalili, Brent Stephens, Amir H. Gandomi, M.H. Afshar, Dan Zhao, Jongki Lee, Parham Azimi and Luke K.‐P. Leung. Their work appears in journals such as Expert Systems with Applications, Solar Energy and Energy and Buildings.
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.