S. Maouche
Impact in
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- AI in cancer detection
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Transportation Planning and Optimization 10
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- Medical Image Segmentation Techniques 6
- Face and Expression Recognition 4
- Co-authors
- S. LecœucheNacim BetrouniSlim HammadiMaximilien VermandelPierre BorneJean RousseauRenaud LopesP. Dubois
- Journals
- International Journal of Radiation Oncology*Biology*Physics (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)Neural Networks (1 paper)Computerized Medical Imaging and Graphics (1 paper)Pattern Recognition (1 paper)
- Partner nations
- FranceTunisiaUnited Kingdom
In The Last Decade
S. Maouche
36 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Artificial Intelligence 658
- Computer Vision and Pattern Recognition 392
- Signal Processing 149
- Transportation 80
- Industrial and Manufacturing Engineering 72
Countries citing papers authored by S. Maouche
This map shows the geographic impact of S. Maouche'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 S. Maouche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Maouche more than expected).
Fields of papers citing papers by S. Maouche
This network shows the impact of papers produced by S. Maouche. 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 S. Maouche. The network helps show where S. Maouche may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. Maouche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 8 | |
| 2 | 2010 | 12 | |
| 3 | 2011 International Joint Conference on Neural Networks Hit paper breakdown → | 2010 | 1171 |
| 4 | 2009 | 1 | |
| 5 | 2009 | 9 | |
| 6 | 2008 | 10 | |
| 7 | 2008 | 1 | |
| 8 | 2008 | 1 | |
| 9 | 2008 | 5 | |
| 10 | 2007 | 11 | |
| 11 | 2007 | 3 | |
| 12 | 2006 | 1 | |
| 13 | 2005 | 2 | |
| 14 | 2004 | 48 | |
| 15 | 2004 | 1 | |
| 16 | 2003 | 2 | |
| 17 | 2003 | 0 | |
| 18 | 2002 | 16 | |
| 19 | 2002 | 19 | |
| 20 | 2002 | 11 |
About S. Maouche
S. Maouche is a scholar working on Transportation, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Biophysics and Automotive Engineering, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (10 papers), Medical Image Segmentation Techniques (6 papers), Traffic control and management (6 papers), Multi-Agent Systems and Negotiation (5 papers), Transportation and Mobility Innovations (5 papers), Face and Expression Recognition (4 papers), Fractal and DNA sequence analysis (4 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Artificial Intelligence (658 citations), Computer Vision and Pattern Recognition (392 citations), Signal Processing (149 citations), Transportation (80 citations) and Industrial and Manufacturing Engineering (72 citations). S. Maouche has collaborated with scholars based in France, Tunisia and United Kingdom. Frequent co-authors include S. Lecœuche, Nacim Betrouni, Slim Hammadi, Maximilien Vermandel, Pierre Borne, Jean Rousseau, Renaud Lopes, P. Dubois, Dominique Pasquier and Salah Zidi. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, International Journal of Computer Assisted Radiology and Surgery, Neural Networks, Computerized Medical Imaging and Graphics and Pattern Recognition.
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.