Alireza Rezvanian

1.8k citations
69 papers · 904 indexed · h-index 19
Topics
Complex Network Analysis Techniques (26 papers)Optimization and Search Problems (18 papers)Opinion Dynamics and Social Influence (14 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsComputers in Human Behavior
Partner nations
IranUnited StatesIndia

In The Last Decade

Alireza Rezvanian

61 papers receiving 867 citations

Peers

Alireza Rezvanian
Comparison fields: 5 of 93
  • Artificial Intelligence 360
  • Computer Networks and Communications 314
  • Statistical and Nonlinear Physics 299
  • Computational Theory and Mathematics 165
  • Computer Vision and Pattern Recognition 152
Replace Mauro Sozio with:
Mauro Sozio France
Kamran Zamanifar Iran
Bhaskar Biswas India
Jared Saia United States
Hwanjo Yu South Korea
Sayan Ranu India
Asgarali Bouyer Iran
Bahman Bahmani United States
Sibo Wang China
Pinghui Wang China
Alireza Rezvanian relative to Mauro Sozio France Mauro Sozio's profile →
Citations per field
00.5×2.7×
Mauro Sozio · 1×
Citations per year

Countries citing papers authored by Alireza Rezvanian

Since Specialization
Citations

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

Fields of papers citing papers by Alireza Rezvanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Rezvanian

This figure shows the co-authorship network connecting the top 25 collaborators of Alireza Rezvanian. A scholar is included among the top collaborators of Alireza Rezvanian 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 Alireza Rezvanian. Alireza Rezvanian 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 0
2 2
3 0
4 17
5 2
6 5
7 14
8 2
9 10
10 1
11 17
12 7
13 22
14 12
15 32
16 16
17 9
18
Zotero: A Reference Manager for Researchers
0
19 11
20 8

About Alireza Rezvanian

Alireza Rezvanian is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computational Theory and Mathematics, having authored 69 papers that have together received 904 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (26 papers), Optimization and Search Problems (18 papers) and Opinion Dynamics and Social Influence (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (299 citations), Computer Networks and Communications (314 citations) and Artificial Intelligence (360 citations). Alireza Rezvanian has collaborated with scholars based in Iran, United States and India. Frequent co-authors include Mohammad Reza Meybodi, Homa Foroughi, Mohammad Rahmati, S. Mehdi Vahidipour, Ali Mohammad Saghiri, Mehdi Esnaashari, Alireza Bagheri, Karim Faez, Mehdi Gheisari and Mohammad Reza Meybodi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

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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