Ferhat Attal
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
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- Balance, Gait, and Falls Prevention
Papers in
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- Context-Aware Activity Recognition Systems 13
- Human Pose and Action Recognition 4
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- Anomaly Detection Techniques and Applications 6
- Logic, Reasoning, and Knowledge 3
- Co-authors
- Latifa Oukhellou (6 shared papers)Samer Mohammed (6 shared papers)Yacine Amirat (3 shared papers)Faïcel Chamroukhi (1 shared paper)Yacine Amirat (13 shared papers)Abdelghani Chibani (12 shared papers)Stéphane Espié (3 shared papers)Abderrahmane Boubezoul (3 shared papers)
In The Last Decade
Ferhat Attal
19 papers receiving 938 citations
Ferhat Attal's Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 536
- Physical Therapy, Sports Therapy and Rehabilitation 87
- Human-Computer Interaction 54
- Biomedical Engineering 372
- Computer Networks and Communications 175
Countries citing papers authored by Ferhat Attal
This map shows the geographic impact of Ferhat Attal'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 Ferhat Attal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferhat Attal more than expected).
Fields of papers citing papers by Ferhat Attal
This network shows the impact of papers produced by Ferhat Attal. 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 Ferhat Attal. The network helps show where Ferhat Attal may publish in the future.
Co-authors
The 15 scholars most cited alongside Ferhat Attal, 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 | Physical Human Activity Recognition Using Wearable Sensors Hit paper breakdown → | 2015 | 641 |
| 2 | 2019 | 84 | |
| 3 | 2019 | 42 | |
| 4 | 2018 | 42 | |
| 5 | 2020 | 21 | |
| 6 | 2014 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2016 | 15 | |
| 9 | 2018 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2014 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2015 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 3 | |
| 20 | Clustering-based and QoS-aware services Composition Algorithm for ambient intelligence | 2019 | 0 |
About Ferhat Attal
Ferhat Attal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Signal Processing and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 965 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (13 papers), Anomaly Detection Techniques and Applications (6 papers), Human Pose and Action Recognition (4 papers), Time Series Analysis and Forecasting (4 papers), Logic, Reasoning, and Knowledge (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Balance, Gait, and Falls Prevention (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (536 citations), Physical Therapy, Sports Therapy and Rehabilitation (87 citations), Human-Computer Interaction (54 citations), Biomedical Engineering (372 citations) and Computer Networks and Communications (175 citations). Ferhat Attal has collaborated with scholars based in France, Russia and Lebanon. Frequent co-authors include Latifa Oukhellou, Samer Mohammed, Yacine Amirat, Faïcel Chamroukhi, Yacine Amirat, Abdelghani Chibani, Stéphane Espié, Abderrahmane Boubezoul, Mohamad Khalil and Sandro Rama Fiorini. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters, Sensors, IEEE Transactions on Automation Science and Engineering and Information Sciences.
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.