Sameh Khamis

4.6k citations
27 papers · 2.6k · 2 hit papers · h-index 18

Impact in

Papers in

Journals
ACM Transactions on Graphics (7 papers)Lecture notes in computer science (4 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)Revue de l Institut International de Statistique / Review of the International Statistical Institute (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (3 papers)

In The Last Decade

Sameh Khamis

27 papers receiving 2.5k citations

Sameh Khamis's Hit Papers

Efficient Geometry-aware 3D Generative Adversarial Networks 2022 · 733 citations
7330+3+6Years since publication200400600

Peers

Sameh Khamis
Comparison fields: 5 of 85
  • Computer Graphics and Computer-Aided Design 746
  • Computer Vision and Pattern Recognition 2.2k
  • Human-Computer Interaction 350
  • Computational Mechanics 808
  • Geology 122
Replace Sean Fanello with:
Sean Fanello United States
Philip Davidson United States
Carsten Stoll Germany
Stephen Lombardi United States
Jeroen van Baar United States
Christoph Lassner Germany
Shubham Tulsiani United States
Sida Peng China
Tao Yu China
Vladislav Golyanik Germany
Sameh Khamis relative to Sean Fanello United States Sean Fanello's profile →
Citations per field
00.5×
Sean Fanello · 1×
Citations per year

Countries citing papers authored by Sameh Khamis

Since Specialization
Citations

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

Fields of papers citing papers by Sameh Khamis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient Geometry-aware 3D Generative Adversarial Networks
Hit paper breakdown →
2022733
2
Fusion4D
Hit paper breakdown →
2016356
3 2018268
4 2016211
5 2017123
6 2019120
7 2015102
8 201582
9 201872
10 201371
11 201868
12 201664
13 202149
14 202242
15 202342
16 202237
17 201231
18 201826
19 202311
20 20139

About Sameh Khamis

Sameh Khamis is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Aerospace Engineering, having authored 27 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Human Pose and Action Recognition (10 papers), 3D Shape Modeling and Analysis (8 papers), Computer Graphics and Visualization Techniques (6 papers), Robotics and Sensor-Based Localization (3 papers), Image Enhancement Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (746 citations), Computer Vision and Pattern Recognition (2.2k citations), Human-Computer Interaction (350 citations), Computational Mechanics (808 citations) and Geology (122 citations). Sameh Khamis has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Shahram Izadi, Christoph Rhemann, Sean Fanello, Adarsh Kowdle, Koki Nagano, Julien Valentin, Jonathan M. Taylor, Eric R. Chan, Connor Z. Lin and Matthew A. Chan. Their work appears in journals such as ACM Transactions on Graphics, Lecture notes in computer science, 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Revue de l Institut International de Statistique / Review of the International Statistical Institute and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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