Mohammad Rowshan

570 citations
26 papers · 281 · h-index 10

Impact in

Papers in

Mohammad Rowshan

26 papers receiving 272 citations

Peers

Mohammad Rowshan
Comparison fields: 5 of 17
  • Computer Networks and Communications 244
  • Electrical and Electronic Engineering 212
  • Artificial Intelligence 99
  • Molecular Biology 88
  • Computational Theory and Mathematics 8
Replace Vera Miloslavskaya with:
Vera Miloslavskaya Australia
YouZhe Fan Hong Kong
Furkan Ercan Canada
Alexandre J. Raymond Canada
Irina E. Bocharova Russia
Vishwambhar Rathi Sweden
Boris D. Kudryashov Russia
Frédéric Gabry Sweden
Xiaopeng Jiao China
Ok-Sun Park South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Rowshan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 9 scholars most cited alongside Mohammad Rowshan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Rowshan Line = papers co-authored together Mohammad Rowshan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202174
2 202425
3 201924
4 202119
5 201916
6 201816
7 202315
8 202214
9 202111
10 202310
11 20199
12 20227
13 20226
14 20226
15 20245
16 20234
17 20224
18 20213
19 20252
20
Complexity-efficient Fano Decoding of Polarization-adjusted Convolutional (PAC) Codes
20202

About Mohammad Rowshan

Mohammad Rowshan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, 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), DNA and Biological Computing (11 papers), Coding theory and cryptography (9 papers), Algorithms and Data Compression (5 papers), Cellular Automata and Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (244 citations), Electrical and Electronic Engineering (212 citations), Artificial Intelligence (99 citations), Molecular Biology (88 citations) and Computational Theory and Mathematics (8 citations). Mohammad Rowshan has collaborated with scholars based in Australia, Switzerland and Romania. Frequent co-authors include Emanuele Viterbo, Jinhong Yuan, Andreas Burg, Son Hoang Dau, Xinyi Gu, Yixuan Xie, Min Qiu, Rino Micheloni and Alessia Marelli. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Information Theory, IEEE Open Journal of the Communications Society and Electronics Letters.

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.

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