Ali Amiri
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Co-authors
- Seyed Hadi HosseiniSai Hong TangSyamsiah MashohorHong ZhangSimon M. LucasMahmood FathyMansour ZiaiiHossein Safari
- Topics
- Face and Expression Recognition (7 papers)Geochemistry and Geologic Mapping (4 papers)Machine Learning in Bioinformatics (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNeurocomputing
In The Last Decade
Ali Amiri
30 papers receiving 409 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 164
- Artificial Intelligence 139
- Electrical and Electronic Engineering 100
- Control and Systems Engineering 75
- Aerospace Engineering 62
Countries citing papers authored by Ali Amiri
This map shows the geographic impact of Ali 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 Ali Amiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Amiri more than expected).
Fields of papers citing papers by Ali Amiri
This network shows the impact of papers produced by Ali 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 Ali Amiri. The network helps show where Ali Amiri may publish in the future.
Co-authorship network of co-authors of Ali Amiri
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Amiri. A scholar is included among the top collaborators of Ali Amiri 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 Ali Amiri. Ali Amiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 49 | |
| 7 | 26 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | 22 | |
| 12 | 18 | |
| 13 | 8 | |
| 14 | A Novel Video Retrieval System Using GED-based Similarity Measure | 1 |
| 15 | The background modeling for the video sequences using Radial Basis Function neural network | 3 |
| 16 | VIDEO SHOT BOUNDARY DETECTION USING GENERALIZED EIGENVALUE DECOMPOSITION AND GAUSSIAN TRANSITION DETECTION | 17 |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 26 |
About Ali Amiri
Ali Amiri is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 30 papers that have together received 429 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Geochemistry and Geologic Mapping (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (164 citations), Media Technology (49 citations) and Artificial Intelligence (139 citations). Ali Amiri has collaborated with scholars based in Iran, Malaysia and Canada. Frequent co-authors include Seyed Hadi Hosseini, Sai Hong Tang, Syamsiah Mashohor, Hong Zhang, Simon M. Lucas, Mahmood Fathy, Mansour Ziaii, Hossein Safari, Sadegh Karimpouli and Reza Noroozian. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.
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.