Vahideh Rezaie

19 papers and 305 indexed citations i.

About

Vahideh Rezaie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Vahideh Rezaie has authored 19 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Vahideh Rezaie’s work include Advanced Clustering Algorithms Research (6 papers), Face and Expression Recognition (5 papers) and Complex Network Analysis Techniques (4 papers). Vahideh Rezaie is often cited by papers focused on Advanced Clustering Algorithms Research (6 papers), Face and Expression Recognition (5 papers) and Complex Network Analysis Techniques (4 papers). Vahideh Rezaie collaborates with scholars based in Iran, Malaysia and Australia. Vahideh Rezaie's co-authors include Samad Nejatian, Hamïd Parvïn, Ahmad Nazari, Sharifah Kamilah Syed Yusof, Hossein Ebrahimpour-Komleh, Mohammad Reza Mahmoudi, Hamid Alinejad‐Rokny, Mehdi Mehrabi, Karamollah Bagherifard and Tahir Ahmad and has published in prestigious journals such as Artificial Intelligence Review, Knowledge and Information Systems and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Co-authorship network of co-authors of Vahideh Rezaie i

Fields of papers citing papers by Vahideh Rezaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vahideh Rezaie

Since Specialization
Citations

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

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