Vahid Behbood

15 papers and 1.0k indexed citations i.

About

Vahid Behbood is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vahid Behbood has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vahid Behbood’s work include Domain Adaptation and Few-Shot Learning (8 papers), Text and Document Classification Technologies (6 papers) and Machine Learning and ELM (5 papers). Vahid Behbood is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Text and Document Classification Technologies (6 papers) and Machine Learning and ELM (5 papers). Vahid Behbood collaborates with scholars based in Australia, Canada and Finland. Vahid Behbood's co-authors include Jie Lü, Guangquan Zhang, Hua Zuo, Peng Hao, Shan Xue, Witold Pedrycz, Raymond Lister, Alireza Ahadi, Arto Vihavainen and Mumtaz Ali and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Industrial Informatics and Knowledge-Based Systems.

In The Last Decade

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

Fields of papers citing papers by Vahid Behbood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vahid Behbood

Since Specialization
Citations

This map shows the geographic impact of Vahid Behbood'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 Behbood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vahid Behbood 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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2025