Stephan Didas

1.1k citations
18 papers · 544 · h-index 10

Impact in

    • Advanced Vision and Imaging
    • Advanced Image Processing Techniques
    • Image and Signal Denoising Methods
    • Medical Image Segmentation Techniques
    • Image Enhancement Techniques
    • Image Processing Techniques and Applications
    • Advanced Image Fusion Techniques

Papers in

Stephan Didas

17 papers receiving 510 citations

Peers

Stephan Didas
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 376
  • Media Technology 89
  • Computer Graphics and Computer-Aided Design 27
  • Computational Mechanics 95
  • Mathematical Physics 33
Replace Hui Yin with:
Hui Yin China
Ramsin Khoshabeh United States
Jean‐Charles Pinoli France
Takashi Ida Japan
Michael Iliadis United States
A. S. Krylov Russia
Kristofor B. Gibson United States
A.J. Patti United States
D. Robinson United States
Yi Shen China
Stephan Didas relative to Hui Yin China Hui Yin's profile →
Citations per field
00.5×4.8×
Hui Yin · 1×
Citations per year

Countries citing papers authored by Stephan Didas

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Didas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Stephan Didas, 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 Stephan Didas Line = papers co-authored together Stephan Didas links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2006269
2 200958
3 201045
4 200638
5 201337
6 200717
7 201116
8 201114
9 200714
10 200613
11 20079
12 20155
13 20084
14 20092
15 20231
16 20081
17 20101
18 20220

About Stephan Didas

Stephan Didas is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Mathematical Physics, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 544 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Medical Image Segmentation Techniques (5 papers), Numerical methods in inverse problems (5 papers), Advanced Numerical Analysis Techniques (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Electrohydrodynamics and Fluid Dynamics (2 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (376 citations), Media Technology (89 citations), Computer Graphics and Computer-Aided Design (27 citations), Computational Mechanics (95 citations) and Mathematical Physics (33 citations). Stephan Didas has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Joachim Weickert, Andrés Bruhn, Nils Papenberg, Thomas Brox, Bernhard Burgeth, Gabriele Steidl, Julia Neumann, Georgios Tsotridis, Andreas Pfrang and Luis Pizarro. Their work appears in journals such as Chemie Ingenieur Technik, International Journal of Computer Vision, Advances in Computational Mathematics, Image and Vision Computing and Inverse Problems and Imaging.

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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