Nabil Ouerhani
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Human-Computer Interaction top 5%
- Sensory Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Heinz HügliRené M. MüriRoman von WartburgTimothée JostMichael MüllerAdriana TapusRozenn DahyotJing Su
- Topics
- Visual Attention and Saliency Detection (12 papers)Visual perception and processing mechanisms (7 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Partner nations
- SwitzerlandFranceIreland
In The Last Decade
Nabil Ouerhani
23 papers receiving 448 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 346
- Cognitive Neuroscience 148
- Human-Computer Interaction 93
- Sensory Systems 72
- Electrical and Electronic Engineering 59
Countries citing papers authored by Nabil Ouerhani
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
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-authorship network of co-authors of Nabil Ouerhani
This figure shows the co-authorship network connecting the top 25 collaborators of Nabil Ouerhani. A scholar is included among the top collaborators of Nabil Ouerhani 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 Nabil Ouerhani. Nabil Ouerhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 42 | |
| 8 | 6 | |
| 9 | 15 | |
| 10 | Cue Normalization Schemes in Saliency-based Visual Attention Models | 3 |
| 11 | Cue Normalisation Schemes in Saliency-based Visual Attention Models | 1 |
| 12 | 13 | |
| 13 | A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition | 3 |
| 14 | 6 | |
| 15 | VISUAL ATTENTION-BASED ROBOT SELF-LOCALIZATION | 20 |
| 16 | 7 | |
| 17 | Contribution of depth to visual attention: comparison of a computer model and human behavior | 14 |
| 18 | 15 | |
| 19 | 101 | |
| 20 | A color image segmentation method based on seeded region growing and visual attention | 4 |
About Nabil Ouerhani
Nabil Ouerhani is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience, 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) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (346 citations), Human-Computer Interaction (93 citations) and Sensory Systems (72 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, Rozenn Dahyot, Jing Su, Thomas Nyffeler and Elena Mugellini. Their work appears in journals such as Neuroreport, Computer Vision and Image Understanding and Future Internet.
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.