Arian Azarang
- Media Technology top 2%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Surgery
- Co-authors
- Nasser KehtarnavazHassan GhassemianMohammad Hassan AsemaniMehdi MiriSadegh KamaeiJohn H. L. HansenVirginie PapadopoulouAbhishek Sehgal
- Topics
- Advanced Image Fusion Techniques (9 papers)Remote-Sensing Image Classification (7 papers)Image and Signal Denoising Methods (4 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionCardiology and Cardiovascular Medicine
- Partner nations
- United StatesIranMalta
In The Last Decade
Arian Azarang
21 papers receiving 296 citations
Peers
Comparison fields: 5 of 60
- Media Technology 171
- Computer Vision and Pattern Recognition 147
- Biomedical Engineering 75
- Cardiology and Cardiovascular Medicine 48
- Surgery 25
Countries citing papers authored by Arian Azarang
This map shows the geographic impact of Arian Azarang'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 Arian Azarang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arian Azarang more than expected).
Fields of papers citing papers by Arian Azarang
This network shows the impact of papers produced by Arian Azarang. 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 Arian Azarang. The network helps show where Arian Azarang may publish in the future.
Co-authorship network of co-authors of Arian Azarang
This figure shows the co-authorship network connecting the top 25 collaborators of Arian Azarang. A scholar is included among the top collaborators of Arian Azarang 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 Arian Azarang. Arian Azarang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 66 | |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 95 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 32 | |
| 19 | 44 | |
| 20 | 11 |
About Arian Azarang
Arian Azarang is a scholar working on Media Technology, Architecture and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 309 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (9 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Media Technology (171 citations), Computer Vision and Pattern Recognition (147 citations) and Cardiology and Cardiovascular Medicine (48 citations). Arian Azarang has collaborated with scholars based in United States, Iran and Malta. Frequent co-authors include Nasser Kehtarnavaz, Hassan Ghassemian, Mohammad Hassan Asemani, Mehdi Miri, Sadegh Kamaei, John H. L. Hansen, Virginie Papadopoulou, Abhishek Sehgal, Ömer Oralkan and David Brown. Their work appears in journals such as PLoS ONE, Journal of Applied Physiology and The Journal of the Acoustical Society of America.
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.