Vahid Behzadan
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Artificial Intelligence
- Signal Processing
- Co-authors
- Arslan MunirAvishek Joey BoseWilliam HsuShamik SenguptaSuman BhuniaMehmet Hadi GüneşMukesh SinghalJ. E. Minton
- Topics
- Complex Network Analysis Techniques (3 papers)Opinion Dynamics and Social Influence (3 papers)Spam and Phishing Detection (2 papers)
- Journals
- Computer NetworksIEEE Intelligent Transportation Systems MagazineInternational Joint Conference on Artificial Intelligence
- Partner nations
- United StatesIran
In The Last Decade
Vahid Behzadan
15 papers receiving 192 citations
Peers
Comparison fields: 5 of 43
- Electrical and Electronic Engineering 74
- Computer Networks and Communications 72
- Information Systems 69
- Artificial Intelligence 55
- Signal Processing 38
Countries citing papers authored by Vahid Behzadan
This map shows the geographic impact of Vahid Behzadan'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 Behzadan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vahid Behzadan more than expected).
Fields of papers citing papers by Vahid Behzadan
This network shows the impact of papers produced by Vahid Behzadan. 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 Behzadan. The network helps show where Vahid Behzadan may publish in the future.
Co-authorship network of co-authors of Vahid Behzadan
This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Behzadan. A scholar is included among the top collaborators of Vahid Behzadan 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 Behzadan. Vahid Behzadan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | Adversarial Exploitation of Policy Imitation. | 1 |
| 7 | 118 | |
| 8 | 3 | |
| 9 | 34 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 3 |
About Vahid Behzadan
Vahid Behzadan is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Information Systems, having authored 15 papers that have together received 202 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Signal Processing (38 citations), Computer Networks and Communications (72 citations) and Information Systems (69 citations). Vahid Behzadan has collaborated with scholars based in United States and Iran. Frequent co-authors include Arslan Munir, Avishek Joey Bose, William Hsu, Shamik Sengupta, Suman Bhunia, Mehmet Hadi Güneş, Mukesh Singhal, J. E. Minton, Murat Yüksel and William H. Hsu. Their work appears in journals such as Computer Networks, IEEE Intelligent Transportation Systems Magazine and International Joint Conference on Artificial Intelligence.
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.