Ahmad Mozaffari
- Artificial Intelligence top 5%
- Automotive Engineering top 5%
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Co-authors
- Alireza FathiNasser L. AzadSaeed BehzadipourAmir KhajepourMahyar VajediMofid Gorji-BandpyMohammadreza AzimiAbas Ramiar
- Topics
- Metaheuristic Optimization Algorithms Research (20 papers)Advanced Multi-Objective Optimization Algorithms (15 papers)Evolutionary Algorithms and Applications (9 papers)
- Partner nations
- CanadaIranUnited States
In The Last Decade
Ahmad Mozaffari
70 papers receiving 875 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 313
- Automotive Engineering 289
- Mechanical Engineering 210
- Electrical and Electronic Engineering 203
- Control and Systems Engineering 161
Countries citing papers authored by Ahmad Mozaffari
This map shows the geographic impact of Ahmad Mozaffari'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 Ahmad Mozaffari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmad Mozaffari more than expected).
Fields of papers citing papers by Ahmad Mozaffari
This network shows the impact of papers produced by Ahmad Mozaffari. 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 Ahmad Mozaffari. The network helps show where Ahmad Mozaffari may publish in the future.
Co-authorship network of co-authors of Ahmad Mozaffari
This figure shows the co-authorship network connecting the top 25 collaborators of Ahmad Mozaffari. A scholar is included among the top collaborators of Ahmad Mozaffari 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 Ahmad Mozaffari. Ahmad Mozaffari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 51 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 46 | |
| 15 | 40 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 14 | |
| 19 | 18 | |
| 20 | 9 |
About Ahmad Mozaffari
Ahmad Mozaffari is a scholar working on Automotive Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 74 papers that have together received 890 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (15 papers) and Evolutionary Algorithms and Applications (9 papers). The work is most often cited by research in Automotive Engineering (289 citations), Fluid Flow and Transfer Processes (64 citations) and Artificial Intelligence (313 citations). Ahmad Mozaffari has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Alireza Fathi, Nasser L. Azad, Saeed Behzadipour, Amir Khajepour, Mahyar Vajedi, Mofid Gorji-Bandpy, Mohammadreza Azimi, Abas Ramiar, Tahereh B. Gorji and Ehsan Toyserkani. Their work appears in journals such as IEEE Transactions on Vehicular Technology, Neurocomputing and Applied Soft Computing.
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.