Ehsan Amiri

485 citations
27 papers · 360 · h-index 9

Impact in

Papers in

Ehsan Amiri

26 papers receiving 338 citations

Peers

Ehsan Amiri
Comparison fields: 5 of 53
  • Computer Networks and Communications 207
  • Artificial Intelligence 96
  • Hardware and Architecture 18
  • Computer Vision and Pattern Recognition 53
  • Electrical and Electronic Engineering 108
Replace Abdelraouf Ouadjaout with:
Abdelraouf Ouadjaout France
Felix Dobslaw Sweden
P. Balasubramanie India
Ahmed Mostefaoui France
Ahmed Sobeih United States
Imane Aly Saroit Egypt
Khalid Aloufi Saudi Arabia
Nataša Živić Germany
S. Kannan India
Ehsan Amiri relative to Abdelraouf Ouadjaout France Abdelraouf Ouadjaout's profile →
Citations per field
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Abdelraouf Ouadjaout · 1×
Citations per year

Countries citing papers authored by Ehsan Amiri

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Amiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ehsan Amiri, 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 Ehsan Amiri Line = papers co-authored together Ehsan Amiri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201582
2 201467
3 201547
4 200946
5 201429
6 201819
7 20119
8 20128
9 20188
10 20147
11 20095
12 20215
13 20135
14 20073
15 20243
16 20123
17 20222
18 20242
19
Detection Of Topographic Images Of Keratoconus Disease Using Machine Vision
20202
20 20222

About Ehsan Amiri

Ehsan Amiri is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Hardware and Architecture, having authored 27 papers that have together received 360 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (5 papers), Mobile Ad Hoc Networks (5 papers), Energy Efficient Wireless Sensor Networks (4 papers), Advanced Clustering Algorithms Research (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Computer Networks and Communications (207 citations), Artificial Intelligence (96 citations), Hardware and Architecture (18 citations), Computer Vision and Pattern Recognition (53 citations) and Electrical and Electronic Engineering (108 citations). Ehsan Amiri has collaborated with scholars based in Iran, Malaysia and Canada. Frequent co-authors include Mazdak Zamani, Touraj Khodadadi, Gábor Tardos, Azizah Abdul Manaf, Farzad Kiani, Mojtaba Alizadeh, Ali Harounabadi, Shozo Komaki, Fred Popowich and Dan Lin. Their work appears in journals such as International Journal of Bio-Inspired Computation, PLoS ONE, Applied Soft Computing, Lecture notes in computer science and International Journal of Distributed Sensor Networks.

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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