Sohaïb Laraba

517 total citations
13 papers, 170 citations indexed

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 13 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Control and Systems Engineering and 4 papers in Human-Computer Interaction. Recurrent topics in Sohaïb Laraba's work include Human Motion and Animation (7 papers), Human Pose and Action Recognition (6 papers) and Hand Gesture Recognition Systems (4 papers). Sohaïb Laraba is often cited by papers focused on Human Motion and Animation (7 papers), Human Pose and Action Recognition (6 papers) and Hand Gesture Recognition Systems (4 papers). Sohaïb Laraba collaborates with scholars based in Belgium, Algeria and Türkiye. Sohaïb Laraba's co-authors include Joëlle Tilmanne, Thierry Dutoit, Mohammed Brahimi, Bernard Gosselin, Benoît Mercatoris, Kosmas Dimitropoulos, Nikos Grammalidis, Styliani Douka, Nicolas d’Alessandro and Nathalie Leblanc and has published in prestigious journals such as SHILAP Revista de lepidopterología, Data in Brief and Journal of Computers in Education.

In The Last Decade

Sohaïb Laraba

12 papers receiving 162 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sohaïb Laraba Belgium	7	106	38	36	27	24	13	170
AKM Shahariar Azad Rabby Bangladesh	9	133 1.3×	84 2.2×	5 0.1×	15 0.6×	87 3.6×	26	291
Y. Rodriguez Switzerland	5	173 1.6×	69 1.8×	14 0.4×	3 0.1×	9 0.4×	6	208
Chandra Mani Sharma India	8	66 0.6×	19 0.5×	2 0.1×	93 3.4×	27 1.1×	21	223
Ayan Das India	8	136 1.3×	17 0.4×	6 0.2×	25 0.9×	79 3.3×	13	235
Dario Allegra Italy	8	88 0.8×	11 0.3×	2 0.1×	15 0.6×	25 1.0×	27	242
Tasnim Ahmed Bangladesh	10	54 0.5×	10 0.3×	7 0.2×	124 4.6×	99 4.1×	24	363
Selvarajah Thuseethan Australia	10	85 0.8×	14 0.4×	3 0.1×	98 3.6×	64 2.7×	30	278
George Retsinas Greece	9	125 1.2×	9 0.2×	5 0.1×	14 0.5×	57 2.4×	33	188
Md. Bakhtiar Hasan Bangladesh	7	44 0.4×	11 0.3×	5 0.1×	126 4.7×	41 1.7×	11	251
Abdul Kawsar Tushar Bangladesh	6	100 0.9×	31 0.8×	7 0.2×	3 0.1×	44 1.8×	10	143

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).

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.

Co-authorship network of co-authors of Sohaïb Laraba

This figure shows the co-authorship network connecting the top 25 collaborators of Sohaïb Laraba. A scholar is included among the top collaborators of Sohaïb Laraba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sohaïb Laraba. Sohaïb Laraba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Carlier, Alexis, et al.. (2022). Local Unsupervised Wheat Head Segmentation. Open Repository and Bibliography (University of Liège). 55–62. 1 indexed citations

Laraba, Sohaïb, et al.. (2022). Towards Lightweight Neural Animation: Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models. ORBi UMONS. 286–293. 1 indexed citations

Laraba, Sohaïb. (2020). Deep Learning for Skeleton-Based Human Action Recognition. ORBi UMONS. 1 indexed citations

Laraba, Sohaïb, et al.. (2020). Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization. 1–5. 32 indexed citations

Laraba, Sohaïb, et al.. (2019). Action recognition based on 2D skeletons extracted from RGB videos. SHILAP Revista de lepidopterología. 277. 2034–2034. 15 indexed citations

Laraba, Sohaïb, et al.. (2018). UMONS-TAICHI: A multimodal motion capture dataset of expertise in Taijiquan gestures. Data in Brief. 19. 1214–1221. 12 indexed citations

Laraba, Sohaïb, et al.. (2018). An adaptive framework for the creation of exergames for intangible cultural heritage (ICH) education. Journal of Computers in Education. 6(3). 417–450. 27 indexed citations

Mancaş, Matei, et al.. (2018). People Groups Analysis for AR Applications. 1–8. 1 indexed citations

Laraba, Sohaïb, Mohammed Brahimi, Joëlle Tilmanne, & Thierry Dutoit. (2017). 3D skeleton‐based action recognition by representing motion capture sequences as 2D‐RGB images. Computer Animation and Virtual Worlds. 28(3-4). 42 indexed citations

10.

Laraba, Sohaïb, et al.. (2017). An adaptive framework for the creation of bodymotion-based games. 10. 209–216. 8 indexed citations

11.

Tilmanne, Joëlle, et al.. (2016). Motion Data and Machine Learning: Prototyping and Evaluation. ORBi UMONS. 2 indexed citations

12.

Laraba, Sohaïb & Joëlle Tilmanne. (2016). Dance performance evaluation using hidden Markov models. Computer Animation and Virtual Worlds. 27(3-4). 321–329. 24 indexed citations

13.

Laraba, Sohaïb, Joëlle Tilmanne, & Thierry Dutoit. (2015). Adaptation procedure for HMM-based sensor-dependent gesture recognition. 17–22. 4 indexed citations

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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