Mohamed Elgharib

31 papers receiving 981 citations

Hit Papers

StyleRig: Rigging StyleGAN for 3D Control Over Portrait I...2020202620222024202050100150200

Peers

Mohamed Elgharib
Comparison fields: 5 of 115
  • Computer Vision and Pattern Recognition 728
  • Computer Graphics and Computer-Aided Design 201
  • Computational Mechanics 197
  • Artificial Intelligence 105
  • Control and Systems Engineering 83
Replace Anna Hilsmann with:
Anna Hilsmann Germany
Zeyu Chen China
Rohit Girdhar United States
Kristian Hildebrand Germany
Kai Lawonn Germany
Marco Agus Qatar
Yasuhito Suenaga Japan
Marie‐Odile Berger France
Bailin Deng China
Yu Qiao China
Mohamed Elgharib relative to Anna Hilsmann Germany Anna Hilsmann's profile →
Citations per field
00.5×2.7×
Anna Hilsmann · 1×
Citations per year

Countries citing papers authored by Mohamed Elgharib

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Elgharib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Elgharib

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Elgharib. A scholar is included among the top collaborators of Mohamed Elgharib 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 Mohamed Elgharib. Mohamed Elgharib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 7
3 19
4 43
5 1
6 16
7 1
8 51
9 11
10 32
11 7
12 111
13
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Imagesbreakdown →
219
14 94
15
XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera
14
16 5
17 6
18 2
19 4
20 3

About Mohamed Elgharib

Mohamed Elgharib is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Generative Adversarial Networks and Image Synthesis (11 papers) and Face recognition and analysis (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (201 citations), Computer Vision and Pattern Recognition (728 citations) and Health Informatics (20 citations). Mohamed Elgharib has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christian Theobalt, Hans‐Peter Seidel, Ayush Tewari, Florian Bernard, Ahmed Selim, Linda Doyle, Michael Zollhöfer, Patrick Pérez, Gaurav Bharaj and Ahmed S. Sultan. Their work appears in journals such as ACM Transactions on Graphics, International Journal of Computer Vision and IEEE Transactions on Circuits and Systems for Video Technology.

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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