Vahid Seydi

18 papers and 139 indexed citations i.

About

Vahid Seydi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Vahid Seydi has authored 18 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Vahid Seydi’s work include Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Vahid Seydi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Vahid Seydi collaborates with scholars based in Iran, Denmark and United Kingdom. Vahid Seydi's co-authors include Mohammad Teshnehlab, Mahdi Aliyari Shoorehdeli, Seyed Abdullah Mirtaheri, Somayyeh Chamaani, Kamal Nasrollahi, Reshad Hosseini, Mehdi Hosseinzadeh, Thomas B. Moeslund, Ali Broumandnia and Javad Vahidi and has published in prestigious journals such as Machine Learning, Applied Intelligence and Electromagnetic waves.

In The Last Decade

Co-authorship network of co-authors of Vahid Seydi i

Fields of papers citing papers by Vahid Seydi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vahid Seydi

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025