Samaneh Yazdani
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Co-authors
- Seyed Mostafa BozorgiJamshid ShanbehzadehEsmaeil HadavandiJavad RezazadehReza FarahbakhshKumbesan SandrasegaranSaeed Chehreh ChelganiMehdi Golsorkhtabaramiri
- Topics
- Metaheuristic Optimization Algorithms Research (8 papers)Evolutionary Algorithms and Applications (6 papers)Advanced Multi-Objective Optimization Algorithms (5 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaMaterialsKnowledge-Based Systems
In The Last Decade
Samaneh Yazdani
15 papers receiving 333 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 152
- Computational Theory and Mathematics 64
- Computer Vision and Pattern Recognition 57
- Computer Networks and Communications 52
- Electrical and Electronic Engineering 52
Countries citing papers authored by Samaneh Yazdani
This map shows the geographic impact of Samaneh Yazdani'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 Samaneh Yazdani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samaneh Yazdani more than expected).
Fields of papers citing papers by Samaneh Yazdani
This network shows the impact of papers produced by Samaneh Yazdani. 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 Samaneh Yazdani. The network helps show where Samaneh Yazdani may publish in the future.
Co-authorship network of co-authors of Samaneh Yazdani
This figure shows the co-authorship network connecting the top 25 collaborators of Samaneh Yazdani. A scholar is included among the top collaborators of Samaneh Yazdani 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 Samaneh Yazdani. Samaneh Yazdani 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 | 2 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 186 | |
| 10 | 36 | |
| 11 | 14 | |
| 12 | 13 | |
| 13 | 9 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | 8 |
About Samaneh Yazdani
Samaneh Yazdani is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 16 papers that have together received 341 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). The work is most often cited by research in Artificial Intelligence (152 citations), Computational Theory and Mathematics (64 citations) and Computer Vision and Pattern Recognition (57 citations). Samaneh Yazdani has collaborated with scholars based in Iran, Sweden and Australia. Frequent co-authors include Seyed Mostafa Bozorgi, Jamshid Shanbehzadeh, Esmaeil Hadavandi, Javad Rezazadeh, Reza Farahbakhsh, Kumbesan Sandrasegaran, Saeed Chehreh Chelgani, Mehdi Golsorkhtabaramiri, Mohammad Taghi Manzuri and Marjan Kuchaki Rafsanjani. Their work appears in journals such as SHILAP Revista de lepidopterología, Materials and Knowledge-Based Systems.
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.