Maysam Orouskhani

429 total citations
14 papers, 226 citations indexed

About

Maysam Orouskhani is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Maysam Orouskhani has authored 14 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Maysam Orouskhani's work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Evolutionary Algorithms and Applications (4 papers). Maysam Orouskhani is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Evolutionary Algorithms and Applications (4 papers). Maysam Orouskhani collaborates with scholars based in Iran, United States and China. Maysam Orouskhani's co-authors include Yasin Orouskhani, Daming Shi, Xiaochun Cheng, Chengcheng Zhu, Mohammad Teshnehlab, Mohammad Ali Nekoui, Samaneh Asgari, Daming Shi, Daniel M. Lachance and Samuel S. Minot and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Maysam Orouskhani

14 papers receiving 221 citations

Peers

Maysam Orouskhani
Comparison fields: 5 of 94
  • Artificial Intelligence 80
  • Neurology 78
  • Computer Vision and Pattern Recognition 54
  • Biomedical Engineering 31
  • Radiology, Nuclear Medicine and Imaging 25
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Citations per field, relative to Maysam Orouskhani
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Citations per year, relative to Maysam Orouskhani
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Countries citing papers authored by Maysam Orouskhani

Since Specialization
Citations

This map shows the geographic impact of Maysam Orouskhani'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 Maysam Orouskhani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maysam Orouskhani more than expected).

Fields of papers citing papers by Maysam Orouskhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maysam Orouskhani. 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 Maysam Orouskhani. The network helps show where Maysam Orouskhani may publish in the future.

Co-authorship network of co-authors of Maysam Orouskhani

This figure shows the co-authorship network connecting the top 25 collaborators of Maysam Orouskhani. A scholar is included among the top collaborators of Maysam Orouskhani 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 Maysam Orouskhani. Maysam Orouskhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 11
2 14
3 4
4 2
5 28
6 58
7 23
8
Adaptive Few-Shot Deep Metric Learning
1
9 37
10 15
11 1
12 7
13 22
14 3

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.

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2026