S. Maouche

2.0k citations
40 papers · 1.5k indexed · 1 hit paper · h-index 11

Impact in

Papers in

S. Maouche

36 papers receiving 1.5k citations

Hit Papers

2011 International Joint Conference on Neural Networks 2010 · 1.2k citations
1.2k20102026201520202505007501000

Peers

S. Maouche
Comparison fields: 5 of 154
  • Artificial Intelligence 658
  • Computer Vision and Pattern Recognition 392
  • Signal Processing 149
  • Transportation 80
  • Industrial and Manufacturing Engineering 72
Replace Changjing Shang with:
Changjing Shang United Kingdom
Zonghua Gu China
Jin Li China
Xinhong Hei China
Xianfu Chen Finland
Xinhu Zheng China
Alexander Amini United States
Hang Su China
Zhaoquan Gu China
S. Maouche relative to Changjing Shang United Kingdom Changjing Shang's profile →
Citations per field
00.5×1.5×1.8×
Changjing Shang · 1×
Citations per year

Countries citing papers authored by S. Maouche

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20108
2 201012
3
2011 International Joint Conference on Neural Networks
Hit paper breakdown →
20101171
4 20091
5 20099
6 200810
7 20081
8 20081
9 20085
10 200711
11 20073
12 20061
13 20052
14 200448
15 20041
16 20032
17 20030
18 200216
19 200219
20 200211

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026