Amir H. Gandomi
- Artificial Intelligence top 0.01%
- Computational Theory and Mathematics top 0.01%
- Civil and Structural Engineering top 0.02%
- Electrical and Electronic Engineering top 0.5%
- Control and Systems Engineering top 0.1%
- Co-authors
- Amir H. AlaviSeyedali MirjaliliXin‐She YangLaith AbualigahMohamed Abd ElazizHuiling ChenSiamak TalatahariGai‐Ge Wang
- Topics
- Metaheuristic Optimization Algorithms Research (134 papers)Advanced Multi-Objective Optimization Algorithms (103 papers)Evolutionary Algorithms and Applications (83 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsCivil and Structural Engineering
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsPLoS ONE
- Partner nations
- AustraliaUnited StatesIran
In The Last Decade
Amir H. Gandomi
586 papers receiving 42.2k citations
Hit Papers
Peers
Comparison fields: 5 of 222
- Artificial Intelligence 18.9k
- Computational Theory and Mathematics 8.2k
- Civil and Structural Engineering 7.6k
- Electrical and Electronic Engineering 6.6k
- Control and Systems Engineering 4.2k
Countries citing papers authored by Amir H. Gandomi
This map shows the geographic impact of Amir H. Gandomi'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 H. Gandomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir H. Gandomi more than expected).
Fields of papers citing papers by Amir H. Gandomi
This network shows the impact of papers produced by Amir H. Gandomi. 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 H. Gandomi. The network helps show where Amir H. Gandomi may publish in the future.
Co-authorship network of co-authors of Amir H. Gandomi
This figure shows the co-authorship network connecting the top 25 collaborators of Amir H. Gandomi. A scholar is included among the top collaborators of Amir H. Gandomi 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 H. Gandomi. Amir H. Gandomi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 8 | |
| 12 | Deep learning modelling techniques: current progress, applications, advantages, and challengesbreakdown → | 412 |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 20 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 20 | |
| 20 | 91 |
About Amir H. Gandomi
Amir H. Gandomi is a scholar working on Civil and Structural Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 610 papers that have together received 43.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (134 papers), Advanced Multi-Objective Optimization Algorithms (103 papers) and Evolutionary Algorithms and Applications (83 papers). The work is most often cited by research in Artificial Intelligence (18.9k citations), Computational Theory and Mathematics (8.2k citations) and Civil and Structural Engineering (7.6k citations). Amir H. Gandomi has collaborated with scholars based in Australia, United States and Iran. Frequent co-authors include Amir H. Alavi, Seyedali Mirjalili, Xin‐She Yang, Laith Abualigah, Mohamed Abd Elaziz, Huiling Chen, Siamak Talatahari, Gai‐Ge Wang, Shahrzad Saremi and Seyedeh Zahra Mirjalili. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.
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.