Khalid Satori

2.7k citations
160 papers · 1.7k · h-index 22

Impact in

Papers in

Khalid Satori

152 papers receiving 1.5k citations

Peers

Khalid Satori
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 689
  • Computer Graphics and Computer-Aided Design 63
  • Condensed Matter Physics 205
  • Media Technology 148
  • Signal Processing 132
Replace Ruimao Zhang with:
Ruimao Zhang China
Liang Shi China
Azeddine Beghdadi France
Jianming Zhang China
Bernd Fröhlich Germany
Lawrence O’Gorman United States
Sheng Yuan China
Ashis G. Banerjee United States
Jaehoon Choi South Korea
Khalid Satori relative to Ruimao Zhang China Ruimao Zhang's profile →
Citations per field
00.5×3.7×
Ruimao Zhang · 1×
Citations per year

Countries citing papers authored by Khalid Satori

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Satori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Khalid Satori, 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 Khalid Satori Line = papers co-authored together Khalid Satori links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992138
2 2008109
3 199385
4 200142
5 202142
6 202042
7 200941
8 201938
9 201932
10 201628
11 201928
12 201326
13 200024
14 201624
15
Self-calibration using a particular motion of camera
200823
16 201723
17 202123
18 202222
19 200921
20 201821

About Khalid Satori

Khalid Satori is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Media Technology and Computational Mechanics, having authored 160 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (54 papers), Robotics and Sensor-Based Localization (27 papers), Advanced Image and Video Retrieval Techniques (24 papers), Optical measurement and interference techniques (20 papers), Computer Graphics and Visualization Techniques (15 papers), 3D Shape Modeling and Analysis (14 papers), Handwritten Text Recognition Techniques (14 papers) and Chaos-based Image/Signal Encryption (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (689 citations), Computer Graphics and Computer-Aided Design (63 citations), Condensed Matter Physics (205 citations), Media Technology (148 citations) and Signal Processing (132 citations). Khalid Satori has collaborated with scholars based in Morocco, Japan and United States. Frequent co-authors include Abderrahim Saaidi, Nabil El Akkad, Hassan Satori, Mostafa Merras, Osamu Sakai, Yukihiro Shimizu, Hiroyuki Shiba, Karim El Moutaouakil, Kazumasa Nomoto and Masao Itabashi. Their work appears in journals such as Multimedia Tools and Applications, 3D Research, International Journal of Speech Technology, IEEE Access and The Visual Computer.

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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