Bernhard Egger

1.0k citations
51 papers · 607 · h-index 13

Impact in

Papers in

    • Face recognition and analysis 25
    • Generative Adversarial Networks and Image Synthesis 10
    • Advanced Vision and Imaging 10
    • Face and Expression Recognition 10
    • Human Pose and Action Recognition 5
    • Advanced Image and Video Retrieval Techniques 4
    • 3D Shape Modeling and Analysis 17

Bernhard Egger

45 papers receiving 588 citations

Peers

Bernhard Egger
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 387
  • Computer Graphics and Computer-Aided Design 29
  • Human-Computer Interaction 41
  • Computational Mechanics 126
  • Health Informatics 8
Replace Jianzhu Guo with:
Jianzhu Guo China
Jen-Yuan Chiang United States
Lingyu Wei United States
Oleg Alexander United States
Kolja Kähler Germany
Maximilian Scherer Germany
Jose Echevarria United States
Patrick Snape United Kingdom
Tsun-Yi Yang Taiwan
Haiwen Feng Germany
Bernhard Egger relative to Jianzhu Guo China Jianzhu Guo's profile →
Citations per field
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Jianzhu Guo · 1×
Citations per year

Countries citing papers authored by Bernhard Egger

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Egger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019108
2 201853
3 201644
4 201037
5 202133
6 202332
7 202328
8 202425
9 202225
10 202319
11 201317
12 202317
13 202316
14 202413
15 201612
16 201512
17 201810
18 20179
19 20239
20 20148

About Bernhard Egger

Bernhard Egger is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Signal Processing, having authored 51 papers that have together received 607 indexed citations. Recurring topics across this work include Face recognition and analysis (25 papers), 3D Shape Modeling and Analysis (17 papers), Generative Adversarial Networks and Image Synthesis (10 papers), Advanced Vision and Imaging (10 papers), Face and Expression Recognition (10 papers), Computer Graphics and Visualization Techniques (6 papers), Human Pose and Action Recognition (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (387 citations), Computer Graphics and Computer-Aided Design (29 citations), Human-Computer Interaction (41 citations), Computational Mechanics (126 citations) and Health Informatics (8 citations). Bernhard Egger has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Thomas R. Vetter, Andreas Morel-Forster, Adam Kortylewski, Sandro Schönborn, Thomas M. Gerig, Andreas Förster, Doris Y. Tsao, Le Chang, Robert Richer and Annette Birkhold. Their work appears in journals such as International Journal of Computer Vision, The Visual Computer, Computer Vision and Image Understanding, South African Journal of Science and Computers in Biology and Medicine.

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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