Mohammad Ali Armin

1.0k total citations
18 papers, 545 citations indexed

About

Mohammad Ali Armin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Mohammad Ali Armin has authored 18 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in Mohammad Ali Armin's work include AI in cancer detection (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Advanced Vision and Imaging (3 papers). Mohammad Ali Armin is often cited by papers focused on AI in cancer detection (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Advanced Vision and Imaging (3 papers). Mohammad Ali Armin collaborates with scholars based in Australia, Brazil and Iran. Mohammad Ali Armin's co-authors include Lars Petersson, Simon Denman, David Ahmedt‐Aristizabal, Mehrdad Shoeiby, Junlin Han, Clinton Fookes, Saeed Anwar, Elizabeth Botha, Tim Malthus and Janet Anstee and has published in prestigious journals such as IEEE Access, Sensors and Remote Sensing.

In The Last Decade

Mohammad Ali Armin

17 papers receiving 535 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Ali Armin Australia 9 281 162 77 70 61 18 545
Junwei Duan China 14 150 0.5× 136 0.8× 40 0.5× 61 0.9× 79 1.3× 52 480
Xufeng Yao China 11 192 0.7× 176 1.1× 92 1.2× 24 0.3× 25 0.4× 47 430
Jundong Liu United States 9 196 0.7× 95 0.6× 49 0.6× 24 0.3× 32 0.5× 35 362
Vassili Kovalev Belarus 15 339 1.2× 186 1.1× 264 3.4× 108 1.5× 76 1.2× 59 830
Mahdieh Soleymani Baghshah Iran 15 323 1.1× 423 2.6× 59 0.8× 23 0.3× 53 0.9× 52 676
Yingying Zhu China 18 224 0.8× 238 1.5× 217 2.8× 94 1.3× 32 0.5× 64 826
Zhichao Lian China 11 166 0.6× 100 0.6× 90 1.2× 94 1.3× 37 0.6× 74 458
Stéphanie Allassonnière France 12 245 0.9× 151 0.9× 114 1.5× 48 0.7× 13 0.2× 42 601
Qi Ge China 15 365 1.3× 52 0.3× 48 0.6× 35 0.5× 143 2.3× 64 562

Countries citing papers authored by Mohammad Ali Armin

Since Specialization
Citations

This map shows the geographic impact of Mohammad Ali Armin'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 Armin 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 Armin more than expected).

Fields of papers citing papers by Mohammad Ali Armin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Ali Armin

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ali Armin. A scholar is included among the top collaborators of Mohammad Ali Armin 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 Armin. Mohammad Ali Armin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Ahmedt‐Aristizabal, David, et al.. (2025). Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset. IEEE Access. 13. 45321–45339. 1 indexed citations
2.
Arzhaeva, Yulia, Mohammad Ali Armin, Chương V. Nguyen, et al.. (2024). Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. 1–5.
3.
Ahmedt‐Aristizabal, David, Mohammad Ali Armin, Zeeshan Hayder, et al.. (2024). Deep learning approaches for seizure video analysis: A review. Epilepsy & Behavior. 154. 109735–109735. 25 indexed citations
4.
Wei, Pengbo, David Ahmedt‐Aristizabal, Harshala Gammulle, Simon Denman, & Mohammad Ali Armin. (2023). Vision-based activity recognition in children with autism-related behaviors. Heliyon. 9(6). e16763–e16763. 22 indexed citations
5.
Li, Yadan, Mohammad Ali Armin, Simon Denman, & David Ahmedt‐Aristizabal. (2023). Automated Coronary Arteries Labeling Via Geometric Deep Learning. 30. 1–5. 1 indexed citations
6.
Ahmedt‐Aristizabal, David, Mohammad Ali Armin, Zeeshan Hayder, et al.. (2023). Deep Learning Approaches for Seizure Video Analysis: A Review. arXiv (Cornell University). 3 indexed citations
7.
Du, Heming, et al.. (2023). Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4260–4269. 8 indexed citations
8.
Han, Junlin, Mehrdad Shoeiby, Tim Malthus, et al.. (2022). Underwater Image Restoration via Contrastive Learning and a Real-World Dataset. Remote Sensing. 14(17). 4297–4297. 62 indexed citations
9.
Cao, Ting, Mohammad Ali Armin, Simon Denman, Lars Petersson, & David Ahmedt‐Aristizabal. (2022). In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 12 indexed citations
10.
Han, Junlin, Mehrdad Shoeiby, Lars Petersson, & Mohammad Ali Armin. (2021). Dual Contrastive Learning for Unsupervised Image-to-Image Translation. 746–755. 137 indexed citations
11.
Ahmedt‐Aristizabal, David, Mohammad Ali Armin, Simon Denman, Clinton Fookes, & Lars Petersson. (2021). A survey on graph-based deep learning for computational histopathology. Computerized Medical Imaging and Graphics. 95. 102027–102027. 66 indexed citations
12.
Han, Junlin, Mehrdad Shoeiby, Tim Malthus, et al.. (2021). Single Underwater Image Restoration by Contrastive Learning. 2385–2388. 53 indexed citations
13.
Wang, Ruiqi, Mohammad Ali Armin, Simon Denman, Lars Petersson, & David Ahmedt‐Aristizabal. (2021). Towards Interpretable Attention Networks for Cervical Cancer Analysis. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 3613–3616. 4 indexed citations
14.
Ahmedt‐Aristizabal, David, Mohammad Ali Armin, Simon Denman, Clinton Fookes, & Lars Petersson. (2021). Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. Sensors. 21(14). 4758–4758. 131 indexed citations
15.
Ahmedt‐Aristizabal, David, Mohammad Ali Armin, Simon Denman, Clinton Fookes, & Lars Petersson. (2020). Attention Networks for Multi-Task Signal Analysis. PubMed. 2020. 184–187. 5 indexed citations
16.
Shoeiby, Mehrdad, et al.. (2020). Mosaic Super-resolution via Sequential Feature Pyramid Networks. 48. 378–387. 4 indexed citations
17.
Armin, Mohammad Ali, Nick Barnes, Florian Grimpen, & Olivier Salvado. (2019). Learning colon centreline from optical colonoscopy, a new way to generate a map of the internal colon surface. Healthcare Technology Letters. 6(6). 187–190. 3 indexed citations
18.
Saghatoleslami, Nasser, Mehdi Koolivand Salooki, & Mohammad Ali Armin. (2010). Prediction of thickness and fouling rate in pulsating flow heat exchangers, using FLUENT simulator. Korean Journal of Chemical Engineering. 27(1). 96–103. 8 indexed citations

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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