Werner Zellinger

901 citations
23 papers · 446 · h-index 9

Impact in

Papers in

    • Domain Adaptation and Few-Shot Learning 4
    • Adversarial Robustness in Machine Learning 4
    • Neural Networks and Applications 3
    • Anomaly Detection Techniques and Applications 3
    • Advanced Vision and Imaging 2
    • Image and Video Quality Assessment 2
    • Advanced Neural Network Applications 2

Werner Zellinger

21 papers receiving 437 citations

Peers

Werner Zellinger
Comparison fields: 5 of 82
  • Analytical Chemistry 85
  • Biophysics 49
  • Health Informatics 10
  • Artificial Intelligence 215
  • Signal Processing 42
Replace Anderson da Silva Soares with:
Anderson da Silva Soares Brazil
Poonam Dhiman India
Abdullah M. Baqasah Saudi Arabia
Weiguo Lin China
Thangairulappan Kathirvalavakumar India
Woo Chaw Seng Malaysia
Srinath Doss Botswana
Md Babul Islam Italy
Ying Guo China
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Citations per field
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Anderson da Silva Soares · 1×
Citations per year

Countries citing papers authored by Werner Zellinger

Since Specialization
Citations

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

Fields of papers citing papers by Werner Zellinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202383
2 201880
3 201975
4 202063
5 202044
6 201921
7 202118
8 202014
9 202111
10 20237
11 20196
12 20166
13 20194
14 20163
15 20153
16 20242
17 20152
18
The balancing principle for parameter choice in distance-regularized domain adaptation
20211
19 20231
20 20221

About Werner Zellinger

Werner Zellinger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biophysics, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 23 papers that have together received 446 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Adversarial Robustness in Machine Learning (4 papers), Neural Networks and Applications (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Vision and Imaging (2 papers), Image and Video Quality Assessment (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Analytical Chemistry (85 citations), Biophysics (49 citations), Health Informatics (10 citations), Artificial Intelligence (215 citations) and Signal Processing (42 citations). Werner Zellinger has collaborated with scholars based in Austria, Italy and Switzerland. Frequent co-authors include Susanne Saminger‐Platz, Bernhard Moser, Ramin Nikzad‐Langerodi, Edwin David Lughofer, Thomas Natschläger, Thomas Grubinger, Kathrin Grosse, Battista Biggio, Lukas Fischer and Sebastiano Vascon. Their work appears in journals such as Information Sciences, Analytical Chemistry, Journal of Imaging Science and Technology, Applied and Computational Harmonic Analysis and Applied Mathematics and Computation.

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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