Mahdi Abavisani
- Human-Computer Interaction top 5%
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- Face and Expression Recognition 3
- Video Surveillance and Tracking Methods 2
- Image and Signal Denoising Methods 1
- Urban Studies top 5%
- Media Technology top 10%
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- Sparse and Compressive Sensing Techniques 3
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- Gait Recognition and Analysis 3
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- Anomaly Detection Techniques and Applications 3
- Advanced Clustering Algorithms Research 2
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- Blind Source Separation Techniques 2
- Co-authors
- Vishal M. PatelHamid Reza Vaezi JozeAlireza ZaeemzadehNazanin RahnavardDimitris MetaxasShahriar B. Shokouhi
- Journals
- Information Fusion (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)Iranian Red Crescent Medical Journal (1 paper)
- Partner nations
- United StatesIranNetherlands
In The Last Decade
Mahdi Abavisani
10 papers receiving 357 citations
Peers
Comparison fields: 5 of 61
- Human-Computer Interaction 84
- Computer Vision and Pattern Recognition 280
- Computational Mathematics 7
- Urban Studies 34
- Media Technology 39
Countries citing papers authored by Mahdi Abavisani
This map shows the geographic impact of Mahdi Abavisani'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 Mahdi Abavisani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahdi Abavisani more than expected).
Fields of papers citing papers by Mahdi Abavisani
This network shows the impact of papers produced by Mahdi Abavisani. 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 Mahdi Abavisani. The network helps show where Mahdi Abavisani may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Mahdi Abavisani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep subspace clustering with data augmentation | 2020 | 9 |
| 2 | 2020 | 1 | |
| 3 | 2019 | 125 | |
| 4 | 2018 | 126 | |
| 5 | 2018 | 3 | |
| 6 | 2017 | 78 | |
| 7 | 2016 | 7 | |
| 8 | 2015 | 3 | |
| 9 | 2015 | 11 | |
| 10 | 2013 | 7 |
About Mahdi Abavisani
Mahdi Abavisani is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 10 papers that have together received 370 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (3 papers), Face and Expression Recognition (3 papers), Gait Recognition and Analysis (3 papers), Anomaly Detection Techniques and Applications (3 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Clustering Algorithms Research (2 papers), Blind Source Separation Techniques (2 papers) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Human-Computer Interaction (84 citations), Computer Vision and Pattern Recognition (280 citations) and Computational Mathematics (7 citations). Mahdi Abavisani has collaborated with scholars based in United States, Iran and Netherlands. Frequent co-authors include Vishal M. Patel, Hamid Reza Vaezi Joze, Alireza Zaeemzadeh, Nazanin Rahnavard, Dimitris Metaxas and Shahriar B. Shokouhi. Their work appears in journals such as Information Fusion, IEEE Journal of Selected Topics in Signal Processing and Iranian Red Crescent Medical Journal.
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.