Mohammad Rowshan
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Co-authors
- Emanuele ViterboJinhong YuanAndreas BurgXinyi GuSon Hoang DauMin QiuYixuan XieAlessia Marelli
- Topics
- Error Correcting Code Techniques (24 papers)Advanced Wireless Communication Techniques (18 papers)DNA and Biological Computing (11 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on CommunicationsIEEE Transactions on Vehicular Technology
- Partner nations
- AustraliaSwitzerlandRomania
In The Last Decade
Mohammad Rowshan
26 papers receiving 272 citations
Peers
Comparison fields: 5 of 17
- Computer Networks and Communications 244
- Electrical and Electronic Engineering 212
- Artificial Intelligence 99
- Molecular Biology 88
- Computer Vision and Pattern Recognition 8
Countries citing papers authored by Mohammad Rowshan
This map shows the geographic impact of Mohammad Rowshan'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 Rowshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Rowshan more than expected).
Fields of papers citing papers by Mohammad Rowshan
This network shows the impact of papers produced by Mohammad Rowshan. 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 Rowshan. The network helps show where Mohammad Rowshan may publish in the future.
Co-authorship network of co-authors of Mohammad Rowshan
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Rowshan. A scholar is included among the top collaborators of Mohammad Rowshan 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 Rowshan. Mohammad Rowshan 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 | 5 | |
| 3 | 25 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 74 | |
| 16 | 3 | |
| 17 | Complexity-efficient Fano Decoding of Polarization-adjusted Convolutional (PAC) Codes | 2 |
| 18 | 16 | |
| 19 | 9 | |
| 20 | 16 |
About Mohammad Rowshan
Mohammad Rowshan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 26 papers that have together received 281 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (24 papers), Advanced Wireless Communication Techniques (18 papers) and DNA and Biological Computing (11 papers). The work is most often cited by research in Computer Networks and Communications (244 citations), Electrical and Electronic Engineering (212 citations) and Artificial Intelligence (99 citations). Mohammad Rowshan has collaborated with scholars based in Australia, Switzerland and Romania. Frequent co-authors include Emanuele Viterbo, Jinhong Yuan, Andreas Burg, Xinyi Gu, Son Hoang Dau, Min Qiu, Yixuan Xie, Alessia Marelli and Rino Micheloni. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications and IEEE Transactions on Vehicular Technology.
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.