Shima Kamyab
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Hossein Nezamabadi–pourMahdi EftekhariZohreh AzimifarMarzieh Moosavi‐NasabSara Khoshnoudi‐NiaPaul FieguthJ. AlexanderMihaela Vlasea
- Topics
- Metaheuristic Optimization Algorithms Research (4 papers)Evolutionary Algorithms and Applications (3 papers)Advanced Multi-Objective Optimization Algorithms (2 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Partner nations
- IranCanadaNetherlands
In The Last Decade
Shima Kamyab
11 papers receiving 270 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 162
- Computational Theory and Mathematics 94
- Biomedical Engineering 32
- Control and Systems Engineering 28
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Shima Kamyab
This map shows the geographic impact of Shima Kamyab'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 Shima Kamyab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shima Kamyab more than expected).
Fields of papers citing papers by Shima Kamyab
This network shows the impact of papers produced by Shima Kamyab. 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 Shima Kamyab. The network helps show where Shima Kamyab may publish in the future.
Co-authorship network of co-authors of Shima Kamyab
This figure shows the co-authorship network connecting the top 25 collaborators of Shima Kamyab. A scholar is included among the top collaborators of Shima Kamyab 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 Shima Kamyab. Shima Kamyab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 54 | |
| 7 | 11 | |
| 8 | 31 | |
| 9 | 49 | |
| 10 | 96 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 3 |
About Shima Kamyab
Shima Kamyab is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence, having authored 14 papers that have together received 281 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Evolutionary Algorithms and Applications (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (94 citations), Artificial Intelligence (162 citations) and Industrial and Manufacturing Engineering (23 citations). Shima Kamyab has collaborated with scholars based in Iran, Canada and Netherlands. Frequent co-authors include Hossein Nezamabadi–pour, Mahdi Eftekhari, Zohreh Azimifar, Marzieh Moosavi‐Nasab, Sara Khoshnoudi‐Nia, Paul Fieguth, J. Alexander, Mihaela Vlasea, Allan Rogalsky and Mark C.M. van Loosdrecht. Their work appears in journals such as Water Research, Scientific Reports and Neurocomputing.
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.