Behzad Akbari
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Mohammad Mahdi TajikiMohammad ShojafarStefano SalsanoLuca ChiaraviglioM. GhanbariYuanzhu ChenNader MokariHamid R. Rabiee
- Topics
- Peer-to-Peer Network Technologies (22 papers)Caching and Content Delivery (21 papers)Image and Video Quality Assessment (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
- Partner nations
- IranItalyUnited Kingdom
In The Last Decade
Behzad Akbari
53 papers receiving 579 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 546
- Electrical and Electronic Engineering 193
- Information Systems 116
- Computer Vision and Pattern Recognition 81
- Artificial Intelligence 65
Countries citing papers authored by Behzad Akbari
This map shows the geographic impact of Behzad Akbari'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 Behzad Akbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behzad Akbari more than expected).
Fields of papers citing papers by Behzad Akbari
This network shows the impact of papers produced by Behzad Akbari. 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 Behzad Akbari. The network helps show where Behzad Akbari may publish in the future.
Co-authorship network of co-authors of Behzad Akbari
This figure shows the co-authorship network connecting the top 25 collaborators of Behzad Akbari. A scholar is included among the top collaborators of Behzad Akbari 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 Behzad Akbari. Behzad Akbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 40 | |
| 4 | 36 | |
| 5 | 11 | |
| 6 | 129 | |
| 7 | An Incentive Mechanism to Mitigate the Free-riding in VoD Streaming over Hybrid CDN-P2P Networks | 0 |
| 8 | 20 | |
| 9 | 9 | |
| 10 | SDTE: Software Defined Traffic Engineering for Improving Data Center Network Utilization | 7 |
| 11 | 0 | |
| 12 | A New Method for Evaluating Video Quality of Experience on Content-Aware Packet Loss Effect Analysis | 1 |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 18 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 23 | |
| 20 | 2 |
About Behzad Akbari
Behzad Akbari is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 58 papers that have together received 603 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (22 papers), Caching and Content Delivery (21 papers) and Image and Video Quality Assessment (13 papers). The work is most often cited by research in Computer Networks and Communications (546 citations), Signal Processing (61 citations) and Information Systems (116 citations). Behzad Akbari has collaborated with scholars based in Iran, Italy and United Kingdom. Frequent co-authors include Mohammad Mahdi Tajiki, Mohammad Shojafar, Stefano Salsano, Luca Chiaraviglio, M. Ghanbari, Yuanzhu Chen, Nader Mokari, Hamid R. Rabiee, Mauro Conti and Mukesh Singhal. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.