S. Rasoul Etesami

778 citations
52 papers · 440 indexed · h-index 10

S. Rasoul Etesami

45 papers receiving 422 citations

Peers

S. Rasoul Etesami
Comparison fields: 5 of 65
  • Statistical and Nonlinear Physics 188
  • Management Science and Operations Research 80
  • Computer Networks and Communications 116
  • Communication 26
  • Automotive Engineering 30
Replace Yaguang Lin with:
Yaguang Lin China
Guangmo Tong United States
Javad Ghaderi United States
Anahita Mirtabatabaei United States
Dajun Qian United States
Zhitao Wang China
Pontus Svenson Sweden
Maleq Khan United States
Vineeth S. Varma France
Cangqi Zhou China
S. Rasoul Etesami relative to Yaguang Lin China Yaguang Lin's profile →
Citations per field
00.5×4.3×
Yaguang Lin · 1×
Citations per year

Countries citing papers authored by S. Rasoul Etesami

Since Specialization
Citations

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

Fields of papers citing papers by S. Rasoul Etesami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Rasoul Etesami. 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 S. Rasoul Etesami. The network helps show where S. Rasoul Etesami may publish in the future.

Co-authorship network

The 18 scholars most cited alongside S. Rasoul Etesami, 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 S. Rasoul Etesami Line = papers co-authored together S. Rasoul Etesami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20242
4 20242
5 20232
6 20232
7 20231
8 20226
9 20222
10 20211
11 201860
12 201824
13 201710
14 20176
15 20161
16 2015118
17
Pure Nash Equilibrium in Capacitated Selfish Replication (CSR) Game.
20142
18 20149
19 201317
20 20139

About S. Rasoul Etesami

S. Rasoul Etesami is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence and Numerical Analysis, having authored 52 papers that have together received 440 indexed citations. Recurring topics across this work include Game Theory and Applications (15 papers), Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (11 papers), Advanced Bandit Algorithms Research (10 papers), Optimization and Search Problems (8 papers), Reinforcement Learning in Robotics (6 papers), Auction Theory and Applications (6 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (188 citations), Management Science and Operations Research (80 citations), Computer Networks and Communications (116 citations), Communication (26 citations) and Automotive Engineering (30 citations). S. Rasoul Etesami has collaborated with scholars based in United States, Iran and Switzerland. Frequent co-authors include Tamer Başar, H. Vincent Poor, Narayan B. Mandayam, Walid Saad, Angelia Nedić, Sadegh Bolouki, César A. Uribe, Behrouz Touri, Alex Olshevsky and Negar Kiyavash. Their work appears in journals such as Automatica, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Control of Network Systems, IEEE Transactions on Automatic Control and Dynamic Games and Applications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026