Mohammad Peyravian
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Ajay D. KshemkalyaniClark JeffriesStephen M. MatyasAllen RoginskyDavid SaffordRosario GennaroRaif O. OnvuralDon Coppersmith
- Topics
- Chaos-based Image/Signal Encryption (11 papers)Network Traffic and Congestion Control (9 papers)Cryptographic Implementations and Security (7 papers)
- Partner nations
- United StatesIranGermany
In The Last Decade
Mohammad Peyravian
31 papers receiving 411 citations
Peers
Comparison fields: 5 of 48
- Computer Networks and Communications 326
- Artificial Intelligence 173
- Information Systems 127
- Electrical and Electronic Engineering 105
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Mohammad Peyravian
This map shows the geographic impact of Mohammad Peyravian'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 Mohammad Peyravian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Peyravian more than expected).
Fields of papers citing papers by Mohammad Peyravian
This network shows the impact of papers produced by Mohammad Peyravian. 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 Mohammad Peyravian. The network helps show where Mohammad Peyravian may publish in the future.
Co-authorship network of co-authors of Mohammad Peyravian
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Peyravian. A scholar is included among the top collaborators of Mohammad Peyravian 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 Mohammad Peyravian. Mohammad Peyravian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 34 | |
| 3 | 18 | |
| 4 | 4 | |
| 5 | 29 | |
| 6 | 80 | |
| 7 | 2 | |
| 8 | The Stream Cipher Encapsulating Security Payload | 4 |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 10 | |
| 12 | MARS - a candidate cipher for AES | 79 |
| 13 | Decentralized network connection preemption algorithms | 1 |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 12 | |
| 18 | A user plane security protocol for ATM networks | 1 |
| 19 | 6 | |
| 20 | 0 |
About Mohammad Peyravian
Mohammad Peyravian is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 483 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (11 papers), Network Traffic and Congestion Control (9 papers) and Cryptographic Implementations and Security (7 papers). The work is most often cited by research in Computer Networks and Communications (326 citations), Hardware and Architecture (77 citations) and Information Systems (127 citations). Mohammad Peyravian has collaborated with scholars based in United States, Iran and Germany. Frequent co-authors include Ajay D. Kshemkalyani, Clark Jeffries, Stephen M. Matyas, Allen Roginsky, David Safford, Rosario Gennaro, Raif O. Onvural, Don Coppersmith, Charanjit S. Jutla and Shai Halevi. Their work appears in journals such as ACS Nano, IBM Journal of Research and Development and Computer Networks.
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.