Rachid Belaroussi

793 citations
32 papers · 277 indexed · h-index 9
Topics
Face recognition and analysis (6 papers)Urban Transport and Accessibility (6 papers)Face and Expression Recognition (6 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
Partner nations
FranceSpainItaly

In The Last Decade

Rachid Belaroussi

30 papers receiving 264 citations

Peers

Rachid Belaroussi
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 117
  • Automotive Engineering 79
  • Aerospace Engineering 62
  • Electrical and Electronic Engineering 40
  • Artificial Intelligence 36
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Tianyu Huang China
Michele Zanin Italy
Ángel Llamazares Spain
K. Uchimura Japan
Daniel Goehring Germany
Z. J. Chong Singapore
Baoxing Qin Singapore
My-Ha Le Vietnam
Ahmed Gomaa Egypt
Miguel Ángel de Miguel Spain
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Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by Rachid Belaroussi

Since Specialization
Citations

This map shows the geographic impact of Rachid Belaroussi'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 Rachid Belaroussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachid Belaroussi more than expected).

Fields of papers citing papers by Rachid Belaroussi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachid Belaroussi. 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 Rachid Belaroussi. The network helps show where Rachid Belaroussi may publish in the future.

Co-authorship network of co-authors of Rachid Belaroussi

This figure shows the co-authorship network connecting the top 25 collaborators of Rachid Belaroussi. A scholar is included among the top collaborators of Rachid Belaroussi 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 Rachid Belaroussi. Rachid Belaroussi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Face Detection and Skin Color Based Tracking: A Comparative Study.
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Fusion Algorithms for Face Localization.
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Combining model-based classifiers for face localization.
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About Rachid Belaroussi

Rachid Belaroussi is a scholar working on Transportation, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 277 indexed citations. Recurring topics across this work include Face recognition and analysis (6 papers), Urban Transport and Accessibility (6 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Automotive Engineering (79 citations), Computer Vision and Pattern Recognition (117 citations) and Transportation (27 citations). Rachid Belaroussi has collaborated with scholars based in France, Spain and Italy. Frequent co-authors include Dominique Gruyer, Marc Revilloud, Maurice Milgram, Sébastien Demmel, Claudio Lantieri, Jean‐Philippe Tarel, Mahdi Zargayouna, A. Cord, Valeria Vignali and Andrea Simone. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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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