Vahid Behbood

1.6k total citations · 1 hit paper
20 papers, 1.3k citations indexed

About

Vahid Behbood is a scholar working on Artificial Intelligence, Accounting and Computer Networks and Communications. According to data from OpenAlex, Vahid Behbood has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Accounting and 2 papers in Computer Networks and Communications. Recurrent topics in Vahid Behbood's work include Domain Adaptation and Few-Shot Learning (9 papers), Imbalanced Data Classification Techniques (6 papers) and Text and Document Classification Technologies (6 papers). Vahid Behbood is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Imbalanced Data Classification Techniques (6 papers) and Text and Document Classification Technologies (6 papers). Vahid Behbood collaborates with scholars based in Australia, Canada and China. Vahid Behbood's co-authors include Jie Lü, Guangquan Zhang, Hua Zuo, Hao Peng, Shan Xue, Witold Pedrycz, Raymond Lister, Alireza Ahadi, Arto Vihavainen and Ghassan Beydoun 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

Vahid Behbood

20 papers receiving 1.2k citations

Hit Papers

Transfer learning using computational intelligence: A survey 2015 2026 2018 2022 2015 200 400 600

Peers

Vahid Behbood
Comparison fields: 5 of 136
  • Artificial Intelligence 671
  • Computer Vision and Pattern Recognition 246
  • Information Systems 123
  • Control and Systems Engineering 101
  • Computer Science Applications 101
Replace João Mendes‐Moreira with:
João Mendes‐Moreira Portugal
Ricardo Soto Chile
César García‐Osorio Spain
Jing Tang China
Víctor M. Rivas Spain
Xinhu Zheng China
José A. Sáez Spain
Nazri Mohd Nawi Malaysia
João Mendes‐Moreira Portugal View profile →
Citations per field, relative to Vahid Behbood
Vahid Behbood · 1×
Citations per year, relative to Vahid Behbood
Vahid Behbood · 1×

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).

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.

Co-authorship network of co-authors of Vahid Behbood

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 71
2 9
3 8
4 119
5 1
6 54
7 43
8 4
9 45
10 41
11
Transfer learning using computational intelligence: A survey breakdown →
743
12 4
13 6
14 3
15 13
16 49
17 14
18 7
19 12
20 10

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
2026