Harald Ganster

1.3k citations
22 papers · 269 indexed · h-index 8
Topics
Neural Networks and Applications (3 papers)Cutaneous Melanoma Detection and Management (3 papers)Image Processing Techniques and Applications (3 papers)

In The Last Decade

Harald Ganster

21 papers receiving 241 citations

Peers

Harald Ganster
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 140
  • Artificial Intelligence 68
  • Aerospace Engineering 66
  • Signal Processing 56
  • Oncology 55
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Citations per field
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Citations per year

Countries citing papers authored by Harald Ganster

Since Specialization
Citations

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

Fields of papers citing papers by Harald Ganster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harald Ganster

This figure shows the co-authorship network connecting the top 25 collaborators of Harald Ganster. A scholar is included among the top collaborators of Harald Ganster 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 Harald Ganster. Harald Ganster 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 1
2 3
3 10
4 62
5
State of the Art Report on Optical Tracking
12
6
Mobile AR setups
1
7 9
8 64
9
Information fusion in image understanding
1
10
Optical tracking with CMOS camera
3
11
3D optical tracking of retroreflective targets for AR applications
2
12 47
13
Comparison of neural networks and statistical methods in melanoma classification
2
14 1
15
Information fusion in remote sensing image interpretation
2
16 9
17 3
18 28
19
Active fusion using Dempster-Shafer theory of evidence
3
20 3

About Harald Ganster

Harald Ganster is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biophysics, having authored 22 papers that have together received 269 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Cutaneous Melanoma Detection and Management (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (140 citations), Signal Processing (56 citations) and Human-Computer Interaction (23 citations). Harald Ganster has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Axel Pinz, Miguel Ribo, Peter Lang, Michael Binder, Stephan Dreiseitl, Harald Kittler, K Wolff, Hubert Pehamberger, Albert Ali Salah and Fernando Alonso‐Fernandez. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Information Forensics and Security and IEEE Computer Graphics and Applications.

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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