Mohsen Rezvani

857 total citations
48 papers, 560 citations indexed

About

Mohsen Rezvani is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohsen Rezvani has authored 48 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 18 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohsen Rezvani's work include Network Security and Intrusion Detection (15 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Access Control and Trust (6 papers). Mohsen Rezvani is often cited by papers focused on Network Security and Intrusion Detection (15 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Access Control and Trust (6 papers). Mohsen Rezvani collaborates with scholars based in Iran, Australia and United States. Mohsen Rezvani's co-authors include Mansoor Fateh, Sanjay Jha, Aleksandar Ignjatović, Elisa Bertino, Vahid Abolghasemi, Mohammad Hossein Anisi, Saideh Ferdowsi, Maurice Pagnucco, Hoda Mashayekhi and Mehran Yazdi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and BMC Genomics.

In The Last Decade

Mohsen Rezvani

44 papers receiving 541 citations

Peers

Mohsen Rezvani
Comparison fields: 5 of 67
  • Computer Networks and Communications 236
  • Artificial Intelligence 213
  • Computer Vision and Pattern Recognition 97
  • Information Systems 93
  • Radiology, Nuclear Medicine and Imaging 79
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Citations per field, relative to Mohsen Rezvani
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Citations per year, relative to Mohsen Rezvani
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Countries citing papers authored by Mohsen Rezvani

Since Specialization
Citations

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

Fields of papers citing papers by Mohsen Rezvani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohsen Rezvani

This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Rezvani. A scholar is included among the top collaborators of Mohsen Rezvani 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 Rezvani. Mohsen Rezvani 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
# Work Indexed citations
1 5
2 0
3 1
4 15
5 8
6 9
7 1
8 16
9 3
10 3
11 11
12 9
13 3
14 13
15 13
16 14
17
The Relationship between Lifeguards' Needs and Their Job Satisfaction Based on Maslow's Hierarchy of Needs
0
18 5
19 7
20 12

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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