Ryad Chellali
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- Robotic Path Planning Algorithms 7
- Human Pose and Action Recognition 5
- Advanced Neural Network Applications 4
- Augmented Reality Applications 3
- Automotive Engineering top 10%
- Artificial Intelligence top 10%
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- Robotics and Sensor-Based Localization 8
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- Teleoperation and Haptic Systems 5
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- Robot Manipulation and Learning 4
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- Emotion and Mood Recognition 3
Ryad Chellali
32 papers receiving 464 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 231
- Automotive Engineering 63
- Human-Computer Interaction 24
- Artificial Intelligence 115
- Signal Processing 33
Countries citing papers authored by Ryad Chellali
This map shows the geographic impact of Ryad Chellali'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 Ryad Chellali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryad Chellali more than expected).
Fields of papers citing papers by Ryad Chellali
This network shows the impact of papers produced by Ryad Chellali. 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 Ryad Chellali. The network helps show where Ryad Chellali may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ryad Chellali, 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 | 2023 | 3 | |
| 2 | 2023 | 6 | |
| 3 | 2018 | 74 | |
| 4 | 2018 | 4 | |
| 5 | 2018 | 39 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 4 | |
| 8 | 2017 | 8 | |
| 9 | 2016 | 23 | |
| 10 | Virtual Environment–Assisted Teleoperation | 2014 | 2 |
| 11 | 2014 | 0 | |
| 12 | The D-ANS corpus: the Dublin-Autonomous Nervous System corpus of biosignal and multimodal recordings of conversational speech | 2014 | 5 |
| 13 | 2013 | 0 | |
| 14 | 2012 | 2 | |
| 15 | 2010 | 2 | |
| 16 | 2009 | 1 | |
| 17 | 2008 | 7 | |
| 18 | 2005 | 18 | |
| 19 | 2002 | 2 | |
| 20 | 1998 | 43 |
About Ryad Chellali
Ryad Chellali is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Control and Systems Engineering, Aerospace Engineering and Experimental and Cognitive Psychology, having authored 36 papers that have together received 484 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (7 papers), Human Pose and Action Recognition (5 papers), Teleoperation and Haptic Systems (5 papers), Robot Manipulation and Learning (4 papers), Advanced Neural Network Applications (4 papers), Emotion and Mood Recognition (3 papers) and Augmented Reality Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Automotive Engineering (63 citations), Human-Computer Interaction (24 citations), Artificial Intelligence (115 citations) and Signal Processing (33 citations). Ryad Chellali has collaborated with scholars based in Italy, France and China. Frequent co-authors include Frimpong Kyeremeh, Albert Yaw Appiah, Ben Beklisi Kwame Ayawli, Hossein Mousavi, Vittorio Murino, Alessandro Perina, Sadegh Mohammadi, Benoît Huet, Marco Paleari and Shipin Yang. Their work appears in journals such as Scientific Reports, Journal of Advanced Transportation, The Visual Computer, IEEE Transactions on Industrial Electronics and Physics in Medicine and Biology.
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.