Ryad Chellali

485 citations
32 papers · 296 indexed · h-index 9

Impact in

Papers in

Ryad Chellali

29 papers receiving 295 citations

Peers

Ryad Chellali
Comparison fields: 5 of 67
  • Human-Computer Interaction 99
  • Cognitive Neuroscience 115
  • Media Technology 46
  • Industrial and Manufacturing Engineering 39
  • Computer Vision and Pattern Recognition 58
Replace Abdeldjallil Naceri with:
Abdeldjallil Naceri Germany
Ungyeon Yang South Korea
Rosa Iglesias Spain
Peter Kán Austria
Tetsuro Ogi Japan
Dongsik Jo South Korea
Jiayang Huang China
Christophe Leroux France
Shao-Kuo Tai Taiwan
Wei You China
Ryad Chellali relative to Abdeldjallil Naceri Germany Abdeldjallil Naceri's profile →
Citations per field
00.5×5.3×
Abdeldjallil Naceri · 1×
Citations per year

Countries citing papers authored by Ryad Chellali

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ryad Chellali Line = papers co-authored together Ryad Chellali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20184
3 201637
4 201510
5 20148
6 20138
7 20135
8 20134
9 20123
10 20125
11 20122
12 201142
13 20110
14 20112
15
Depth Perception Within Virtual Environments: Comparison Between two Display Technologies
201023
16 20103
17 20091
18 20096
19 20093
20 20081

About Ryad Chellali

Ryad Chellali is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Control and Systems Engineering, Media Technology and Industrial and Manufacturing Engineering, having authored 32 papers that have together received 296 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (8 papers), Visual perception and processing mechanisms (6 papers), Virtual Reality Applications and Impacts (6 papers), Robotics and Sensor-Based Localization (6 papers), Indoor and Outdoor Localization Technologies (4 papers), Robotic Mechanisms and Dynamics (4 papers), Advanced Optical Imaging Technologies (4 papers) and Interactive and Immersive Displays (4 papers). The work is most often cited by research in Human-Computer Interaction (99 citations), Cognitive Neuroscience (115 citations), Media Technology (46 citations), Industrial and Manufacturing Engineering (39 citations) and Computer Vision and Pattern Recognition (58 citations). Ryad Chellali has collaborated with scholars based in Italy, France and China. Frequent co-authors include Abdeldjallil Naceri, Khelifa Baizid, Thierry Hoinville, Jamshed Iqbal, Hermann J. Müller, Md. Mamun Al-Amin, Agnieszka Wykowska, Luca Brayda, Goran Devedžić and Saša Ćuković. Their work appears in journals such as International Journal of Social Robotics, Robotics and Computer-Integrated Manufacturing, Frontiers in Human Neuroscience, PRESENCE Virtual and Augmented Reality and Applied Bionics and Biomechanics.

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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