Sohaïb Laraba
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Video Analysis and Summarization
Papers in
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- Human Pose and Action Recognition 6
- Video Analysis and Summarization 2
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- Human Motion and Animation 7
- Co-authors
- Joëlle Tilmanne (6 shared papers)Thierry Dutoit (6 shared papers)Mohammed Brahimi (1 shared paper)Benoît Mercatoris (2 shared papers)Bernard Gosselin (2 shared papers)Kosmas Dimitropoulos (2 shared papers)Nikos Grammalidis (2 shared papers)Styliani Douka (1 shared paper)
- Journals
- Journal of Computers in Education (1 paper)Data in Brief (1 paper)Computer Animation and Virtual Worlds (2 papers)SHILAP Revista de lepidopterología (1 paper)Open Repository and Bibliography (University of Liège) (1 paper)
In The Last Decade
Sohaïb Laraba
12 papers receiving 162 citations
Peers
Comparison fields: 5 of 57
- Human-Computer Interaction 38
- Computer Vision and Pattern Recognition 106
- Museology 10
- Analytical Chemistry 18
- Control and Systems Engineering 36
Countries citing papers authored by Sohaïb Laraba
This map shows the geographic impact of Sohaïb Laraba'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 Sohaïb Laraba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sohaïb Laraba more than expected).
Fields of papers citing papers by Sohaïb Laraba
This network shows the impact of papers produced by Sohaïb Laraba. 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 Sohaïb Laraba. The network helps show where Sohaïb Laraba may publish in the future.
Co-authors
The 13 scholars most cited alongside Sohaïb Laraba, 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 | 42 | |
| 2 | 2020 | 32 | |
| 3 | 2018 | 27 | |
| 4 | 2016 | 24 | |
| 5 | 2019 | 15 | |
| 6 | 2018 | 12 | |
| 7 | 2017 | 8 | |
| 8 | 2015 | 4 | |
| 9 | Motion Data and Machine Learning: Prototyping and Evaluation | 2016 | 2 |
| 10 | 2020 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2018 | 1 | |
| 13 | 2022 | 1 |
About Sohaïb Laraba
Sohaïb Laraba is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction, Plant Science and Developmental and Educational Psychology, having authored 13 papers that have together received 170 indexed citations. Recurring topics across this work include Human Motion and Animation (7 papers), Human Pose and Action Recognition (6 papers), Hand Gesture Recognition Systems (4 papers), Video Analysis and Summarization (2 papers), Educational Games and Gamification (2 papers), Smart Agriculture and AI (2 papers), Evacuation and Crowd Dynamics (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Human-Computer Interaction (38 citations), Computer Vision and Pattern Recognition (106 citations), Museology (10 citations), Analytical Chemistry (18 citations) and Control and Systems Engineering (36 citations). Sohaïb Laraba has collaborated with scholars based in Belgium, Algeria and France. Frequent co-authors include Joëlle Tilmanne, Thierry Dutoit, Mohammed Brahimi, Benoît Mercatoris, Bernard Gosselin, Kosmas Dimitropoulos, Nikos Grammalidis, Styliani Douka, Nicolas d’Alessandro and Matei Mancaş. Their work appears in journals such as Journal of Computers in Education, Data in Brief, Computer Animation and Virtual Worlds, SHILAP Revista de lepidopterología and Open Repository and Bibliography (University of Liège).
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.