Andreas Koschan

3.6k citations
128 papers · 2.5k indexed · h-index 27

Andreas Koschan

122 papers receiving 2.2k citations

Peers

Andreas Koschan
Comparison fields: 5 of 127
  • Computer Graphics and Computer-Aided Design 317
  • Computer Vision and Pattern Recognition 1.7k
  • Media Technology 455
  • Geology 209
  • Aerospace Engineering 516
Replace M.A. Abidi with:
M.A. Abidi United States
Kari Pulli United States
Ko Nishino Japan
Naokazu Yokoya Japan
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Kristin Dana United States
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Citations per year

Countries citing papers authored by Andreas Koschan

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Koschan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20112
2 201133
3 20101
4 20083
5 200833
6 200814
7
Nano-scale 3D metrology for surface characterization and inspection of high-precision manufactured components
20070
8
3D Imaging for Safety and Security (Computational Imaging and Vision)
20073
9
Video-based multi-camera automated surveillance of high value assets in nuclear facilities
20072
10 200785
11 200773
12 20068
13 200638
14
A Pose Invariant 3D Face Recognition Method
20051
15 20043
16 200346
17 200347
18 20037
19
A Modular 10-DOF Vision System for High-Resolution Active Stereo
19971
20
Evaluation of Surface Reconstruction Methods
19951

About Andreas Koschan

Andreas Koschan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 128 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (40 papers), Robotics and Sensor-Based Localization (35 papers), Advanced Image and Video Retrieval Techniques (24 papers), 3D Surveying and Cultural Heritage (21 papers), 3D Shape Modeling and Analysis (19 papers), Computer Graphics and Visualization Techniques (16 papers), Video Surveillance and Tracking Methods (16 papers) and Face and Expression Recognition (15 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (317 citations), Computer Vision and Pattern Recognition (1.7k citations) and Media Technology (455 citations). Andreas Koschan has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include M.A. Abidi, Mongi A. Abidi, David Page, Besma Abidi, Joonki Paik, Reinhard Klette, Karsten Schlüns, Sreenivas R. Sukumar, Yi Yao and Yong Sun. Their work appears in journals such as Pattern Recognition Letters, Computer Vision and Image Understanding, Industrial Robot the international journal of robotics research and application, SAE technical papers on CD-ROM/SAE technical paper series and Image and Vision Computing.

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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