Behrooz Mahasseni
Impact in
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- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Signal Processing top 5%
- Music and Audio Processing
Papers in
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- Video Analysis and Summarization 3
- Human Pose and Action Recognition 3
- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 2
- Advanced Image and Video Retrieval Techniques 1
- Visual Attention and Saliency Detection 1
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- Anomaly Detection Techniques and Applications 2
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Behrooz Mahasseni
7 papers receiving 613 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 591
- Signal Processing 238
- Human-Computer Interaction 38
- Artificial Intelligence 157
- Developmental Biology 6
Countries citing papers authored by Behrooz Mahasseni
This map shows the geographic impact of Behrooz Mahasseni'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 Behrooz Mahasseni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behrooz Mahasseni more than expected).
Fields of papers citing papers by Behrooz Mahasseni
This network shows the impact of papers produced by Behrooz Mahasseni. 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 Behrooz Mahasseni. The network helps show where Behrooz Mahasseni may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Behrooz Mahasseni, 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 | 2017 | 29 | |
| 2 | Unsupervised Video Summarization with Adversarial LSTM Networks Hit paper breakdown → | 2017 | 366 |
| 3 | 2017 | 88 | |
| 4 | 2016 | 112 | |
| 5 | 2014 | 12 | |
| 6 | 2013 | 3 | |
| 7 | 2013 | 24 |
About Behrooz Mahasseni
Behrooz Mahasseni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Economics and Econometrics and Infectious Diseases, having authored 7 papers that have together received 634 indexed citations. Recurring topics across this work include Video Analysis and Summarization (3 papers), Human Pose and Action Recognition (3 papers), Multimodal Machine Learning Applications (2 papers), Advanced Neural Network Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), Sports Analytics and Performance (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (591 citations), Signal Processing (238 citations), Human-Computer Interaction (38 citations), Artificial Intelligence (157 citations) and Developmental Biology (6 citations). Behrooz Mahasseni has collaborated with scholars based in United States. Frequent co-authors include Siniša Todorović, Michael Lam, Alan Fern, Zhongyuan Feng and Sheng Chen. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence.
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.