Ali Sadr

67 papers receiving 515 citations

Peers

Ali Sadr
Comparison fields: 5 of 113
  • Orthodontics 19
  • Oral Surgery 26
  • Biophysics 20
  • Computer Vision and Pattern Recognition 70
  • Electrical and Electronic Engineering 188
Replace Hong‐Seng Gan with:
Hong‐Seng Gan Malaysia
Xuejun Liu China
Y. Kinouchi Japan
Jorge Fernandes Portugal
Sheng Liang China
Sastra Kusuma Wijaya Indonesia
Xiaobai Chen China
Jin‐Ho Cho South Korea
Liping Zhang China
Guohua Lv China
Ali Sadr relative to Hong‐Seng Gan Malaysia Hong‐Seng Gan's profile →
Citations per field
00.5×9.5×
Hong‐Seng Gan · 1×
Citations per year

Countries citing papers authored by Ali Sadr

Since Specialization
Citations

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

Fields of papers citing papers by Ali Sadr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ali Sadr, 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 Ali Sadr Line = papers co-authored together Ali Sadr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201752
2 202145
3 202036
4 201832
5 202130
6 200523
7 201121
8 202216
9 200815
10 201812
11 201611
12 200710
13 201310
14 20159
15 20169
16 20209
17 20169
18 20058
19 20168
20 20128

About Ali Sadr

Ali Sadr is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 77 papers that have together received 540 indexed citations. Recurring topics across this work include Optical Network Technologies (9 papers), Ultrasonics and Acoustic Wave Propagation (9 papers), Blind Source Separation Techniques (7 papers), Photonic Crystal and Fiber Optics (5 papers), Advanced Fiber Laser Technologies (5 papers), Non-Destructive Testing Techniques (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Orthodontics (19 citations), Oral Surgery (26 citations), Biophysics (20 citations), Computer Vision and Pattern Recognition (70 citations) and Electrical and Electronic Engineering (188 citations). Ali Sadr has collaborated with scholars based in Iran, United Kingdom and Japan. Frequent co-authors include Hamed Saghaei, Amir‐Homayoun Javadi, Shahryar Malekie, Seyed Hassan Sedighy, Jörgen Johansson, Fatemeh Molaabasi, Seyed Morteza Naghib, Kazuo Konagai, Thomas Fevens and Georgios A. Kotsakis. Their work appears in journals such as Scientific Reports, Journal of Intelligent Manufacturing, Electronics Letters, Wireless Personal Communications and Neural Computing 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.

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