N. Sarshar
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Complex Network Analysis Techniques
Papers in
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- Cooperative Communication and Network Coding 5
- Peer-to-Peer Network Technologies 4
- Mobile Ad Hoc Networks 4
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- Advanced Neural Network Applications 3
- Advanced Data Compression Techniques 3
- Co-authors
- Vwani Roychowdhury (8 shared papers)P. Oscar Boykin (4 shared papers)Ramin Ranjbarzadeh (9 shared papers)Shokofeh Anari (6 shared papers)Malika Bendechache (6 shared papers)Saeid Jafarzadeh Ghoushchi (6 shared papers)Shadi Dorosti (2 shared papers)Jing Hu (1 shared paper)
In The Last Decade
N. Sarshar
31 papers receiving 803 citations
Peers
Comparison fields: 5 of 108
- Neurology 89
- Statistical and Nonlinear Physics 125
- Computer Networks and Communications 237
- Computer Vision and Pattern Recognition 180
- Signal Processing 67
Countries citing papers authored by N. Sarshar
This map shows the geographic impact of N. Sarshar'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 N. Sarshar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Sarshar more than expected).
Fields of papers citing papers by N. Sarshar
This network shows the impact of papers produced by N. Sarshar. 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 N. Sarshar. The network helps show where N. Sarshar may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Sarshar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 127 | |
| 2 | 2004 | 104 | |
| 3 | 2022 | 82 | |
| 4 | 2004 | 59 | |
| 5 | 2022 | 56 | |
| 6 | 2006 | 56 | |
| 7 | 2022 | 56 | |
| 8 | 2023 | 43 | |
| 9 | 2022 | 42 | |
| 10 | 2023 | 36 | |
| 11 | 2022 | 35 | |
| 12 | 2022 | 32 | |
| 13 | 2019 | 29 | |
| 14 | 2005 | 15 | |
| 15 | 2022 | 9 | |
| 16 | The prevalence of obesity in females of 15-65 years of age in Gonabad, Iran | 2006 | 7 |
| 17 | 2024 | 6 | |
| 18 | 2008 | 5 | |
| 19 | 2006 | 4 | |
| 20 | 2009 | 4 |
About N. Sarshar
N. Sarshar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 32 papers that have together received 830 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (5 papers), Brain Tumor Detection and Classification (4 papers), Peer-to-Peer Network Technologies (4 papers), Mobile Ad Hoc Networks (4 papers), Wireless Communication Security Techniques (3 papers), Algorithms and Data Compression (3 papers), Advanced Neural Network Applications (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Neurology (89 citations), Statistical and Nonlinear Physics (125 citations), Computer Networks and Communications (237 citations), Computer Vision and Pattern Recognition (180 citations) and Signal Processing (67 citations). N. Sarshar has collaborated with scholars based in Iran, Canada and Ireland. Frequent co-authors include Vwani Roychowdhury, P. Oscar Boykin, Ramin Ranjbarzadeh, Shokofeh Anari, Malika Bendechache, Saeid Jafarzadeh Ghoushchi, Shadi Dorosti, Jing Hu, Yinping Cao and Jianbo Gao. Their work appears in journals such as IEEE/ACM Transactions on Networking, Artificial Intelligence Review, Blood, Cognitive Computation and Annals of Operations Research.
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.