Nabil Ouerhani

974 citations
24 papers · 484 · h-index 11

Impact in

Papers in

Nabil Ouerhani

23 papers receiving 448 citations

Peers

Nabil Ouerhani
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 346
  • Human-Computer Interaction 93
  • Sensory Systems 72
  • Cognitive Neuroscience 148
  • Media Technology 33
Replace Justin A. Eichel with:
Justin A. Eichel Canada
Bärbel Mertsching Germany
Patrick Le Callet France
Wenxi Liu Hong Kong
Dan Su China
Christian Siagian United States
Ana E. Delgado Spain
Dicky N. Sihite United States
Marc Christie France
Zheshen Wang United States
Nabil Ouerhani relative to Justin A. Eichel Canada Justin A. Eichel's profile →
Citations per field
00.5×10×12.5×
Justin A. Eichel · 1×
Citations per year

Countries citing papers authored by Nabil Ouerhani

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Ouerhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Nabil Ouerhani, 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 Nabil Ouerhani Line = papers co-authored together Nabil Ouerhani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003101
2 200598
3 200273
4 201642
5 200228
6
VISUAL ATTENTION-BASED ROBOT SELF-LOCALIZATION
200520
7 201515
8 200315
9
Contribution of depth to visual attention: comparison of a computer model and human behavior
200414
10 200613
11 202011
12 202210
13 20168
14 20057
15 20056
16 20166
17
A color image segmentation method based on seeded region growing and visual attention
20024
18 20194
19
A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition
20053
20
Cue Normalization Schemes in Saliency-based Visual Attention Models
20063

About Nabil Ouerhani

Nabil Ouerhani is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Aerospace Engineering, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 24 papers that have together received 484 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (12 papers), Visual perception and processing mechanisms (7 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Gaze Tracking and Assistive Technology (3 papers), Olfactory and Sensory Function Studies (2 papers), Color perception and design (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (346 citations), Human-Computer Interaction (93 citations), Sensory Systems (72 citations), Cognitive Neuroscience (148 citations) and Media Technology (33 citations). Nabil Ouerhani has collaborated with scholars based in Switzerland, France and Ireland. Frequent co-authors include Heinz Hügli, René M. Müri, Roman von Wartburg, Timothée Jost, Michael Müller, Adriana Tapus, Lorenzo Keller, G. Gruener, Pascal Wurtz and Jing Su. Their work appears in journals such as Computer Vision and Image Understanding, Future Internet, Neuroreport, Neuropsychiatrie de l Enfance et de l Adolescence and Real-Time Imaging.

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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