Mohsen Soryani

61 papers receiving 873 citations

Peers

Mohsen Soryani
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 363
  • Artificial Intelligence 232
  • Experimental and Cognitive Psychology 175
  • Radiology, Nuclear Medicine and Imaging 151
  • Social Psychology 137
Replace Byung Cheol Song with:
Byung Cheol Song South Korea
Qiang Ji United States
Ihsen Alouani France
Reza Azmi Iran
Fernando Alonso‐Fernandez Sweden
Felix Juefei-Xu United States
Franck Davoine France
Guosheng Yang China
Mourad Zaied Tunisia
Lei Han China
Mohsen Soryani relative to Byung Cheol Song South Korea Byung Cheol Song's profile →
Citations per field
00.5×6.2×
Byung Cheol Song · 1×
Citations per year

Countries citing papers authored by Mohsen Soryani

Since Specialization
Citations

This map shows the geographic impact of Mohsen Soryani'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 Mohsen Soryani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsen Soryani more than expected).

Fields of papers citing papers by Mohsen Soryani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohsen Soryani. 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 Mohsen Soryani. The network helps show where Mohsen Soryani may publish in the future.

Co-authorship network of co-authors of Mohsen Soryani

This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Soryani. A scholar is included among the top collaborators of Mohsen Soryani 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 Mohsen Soryani. Mohsen Soryani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 11
3 1
4 1
5 37
6 11
7 33
8
Determining Mass Boundary in 3D Automated Breast Ultrasound Images Using a Deformable Model
0
9 35
10 1
11 13
12 53
13 123
14 1
15
A new decoder side video stabilization using particle filter
1
16 61
17 2
18 1
19
Vehicle Shadow Exclusion for a Vehicle Velocity Detection System.
0
20
Spatial domain coding techniques for image sequences
2

About Mohsen Soryani

Mohsen Soryani is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Networks and Communications, having authored 68 papers that have together received 945 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Advanced Vision and Imaging (9 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (363 citations), Experimental and Cognitive Psychology (175 citations) and Human-Computer Interaction (70 citations). Mohsen Soryani has collaborated with scholars based in Iran, Netherlands and United Kingdom. Frequent co-authors include Mahmood Fathy, Ehsan Kozegar, Reza Azmi, Tao Tan, Hamid Behnam, Behrouz Minaei‐Bidgoli, Keivan Navi, Inês Domingues, Keyvan Asefpour Vakilian and Gholamreza Chegini. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Medical Imaging and Computers and Electronics in Agriculture.

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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