Mohammad Ali Balafar
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Neurology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Syamsiah MashohorMohammad‐Reza Feizi‐DerakhshiM. Iqbal SaripanAbd Rahman RamliSeyed Naser RazaviCina MotamedAmin Golzari OskoueiNarjes Nikzad-Khasmakhi
- Topics
- Image Retrieval and Classification Techniques (15 papers)Medical Image Segmentation Techniques (13 papers)Face and Expression Recognition (8 papers)
In The Last Decade
Mohammad Ali Balafar
84 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 792
- Artificial Intelligence 648
- Neurology 244
- Molecular Biology 212
- Radiology, Nuclear Medicine and Imaging 153
Countries citing papers authored by Mohammad Ali Balafar
This map shows the geographic impact of Mohammad Ali Balafar'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 Mohammad Ali Balafar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Ali Balafar more than expected).
Fields of papers citing papers by Mohammad Ali Balafar
This network shows the impact of papers produced by Mohammad Ali Balafar. 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 Mohammad Ali Balafar. The network helps show where Mohammad Ali Balafar may publish in the future.
Co-authorship network of co-authors of Mohammad Ali Balafar
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ali Balafar. A scholar is included among the top collaborators of Mohammad Ali Balafar 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 Mohammad Ali Balafar. Mohammad Ali Balafar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 33 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 22 | |
| 19 | 17 | |
| 20 | 118 |
About Mohammad Ali Balafar
Mohammad Ali Balafar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (15 papers), Medical Image Segmentation Techniques (13 papers) and Face and Expression Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (792 citations), Neurology (244 citations) and Artificial Intelligence (648 citations). Mohammad Ali Balafar has collaborated with scholars based in Iran, Malaysia and Canada. Frequent co-authors include Syamsiah Mashohor, Mohammad‐Reza Feizi‐Derakhshi, M. Iqbal Saripan, Abd Rahman Ramli, Seyed Naser Razavi, Cina Motamed, Amin Golzari Oskouei, Narjes Nikzad-Khasmakhi, Prashanth Suravajhala and Jafar Tanha. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.
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.