Sohaïb Laraba

5 papers and 90 indexed citations i.

About

Sohaïb Laraba is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction. According to data from OpenAlex, Sohaïb Laraba has authored 5 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Control and Systems Engineering and 2 papers in Human-Computer Interaction. Recurrent topics in Sohaïb Laraba’s work include Human Pose and Action Recognition (4 papers), Human Motion and Animation (3 papers) and Video Analysis and Summarization (2 papers). Sohaïb Laraba is often cited by papers focused on Human Pose and Action Recognition (4 papers), Human Motion and Animation (3 papers) and Video Analysis and Summarization (2 papers). Sohaïb Laraba collaborates with scholars based in Belgium, Algeria and France. Sohaïb Laraba's co-authors include Joëlle Tilmanne, Thierry Dutoit, Mohammed Brahimi, Styliani Douka, Nikos Grammalidis and Kosmas Dimitropoulos and has published in prestigious journals such as Data in Brief, Journal of Computers in Education and Computer Animation and Virtual Worlds.

In The Last Decade

Co-authorship network of co-authors of Sohaïb Laraba i

Fields of papers citing papers by Sohaïb Laraba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Sohaïb Laraba

Since Specialization
Citations

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).

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.

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2025