Werner Zellinger

1.1k total citations
19 papers, 338 citations indexed

About

Werner Zellinger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Werner Zellinger has authored 19 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Werner Zellinger's work include Domain Adaptation and Few-Shot Learning (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Machine Learning and ELM (3 papers). Werner Zellinger is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Adversarial Robustness in Machine Learning (4 papers) and Machine Learning and ELM (3 papers). Werner Zellinger collaborates with scholars based in Austria, Italy and Switzerland. Werner Zellinger's co-authors include Susanne Saminger‐Platz, Ramin Nikzad‐Langerodi, Bernhard Moser, Edwin Lughofer, Thomas Grubinger, Thomas Natschläger, Marcello Pelillo, Alina Oprea, Ambra Demontis and Fabio Roli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and ACM Computing Surveys.

In The Last Decade

Werner Zellinger

17 papers receiving 327 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Werner Zellinger Austria	8	167	75	44	44	43	19	338
Asif Iqbal Khan India	8	63 0.4×	56 0.7×	16 0.4×	72 1.6×	7 0.2×	22	413
Poonam Dhiman India	8	65 0.4×	120 1.6×	12 0.3×	66 1.5×	7 0.2×	14	498
Debapriya Hazra South Korea	9	82 0.5×	9 0.1×	12 0.3×	74 1.7×	16 0.4×	15	265
Md Babul Islam Italy	14	144 0.9×	16 0.2×	28 0.6×	40 0.9×	9 0.2×	33	339
Abdiansah Abdiansah Indonesia	6	137 0.8×	12 0.2×	19 0.4×	40 0.9×	7 0.2×	36	289
Anderson da Silva Soares Brazil	10	43 0.3×	45 0.6×	33 0.8×	27 0.6×	2 0.0×	40	220
K. Thinakaran India	12	92 0.6×	9 0.1×	13 0.3×	77 1.8×	7 0.2×	24	317
Ajit Danti India	10	78 0.5×	50 0.7×	7 0.2×	111 2.5×	3 0.1×	48	339
L. Sujihelen India	8	77 0.5×	19 0.3×	13 0.3×	102 2.3×	3 0.1×	38	318

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-authorship network of co-authors of Werner Zellinger

This figure shows the co-authorship network connecting the top 25 collaborators of Werner Zellinger. A scholar is included among the top collaborators of Werner Zellinger 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 Werner Zellinger. Werner Zellinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Pereverzyev, Sergei V., et al.. (2024). Domain Generalization by Functional Regression. Numerical Functional Analysis and Optimization. 45(3). 259–281. 2 indexed citations

Eghbal-zadeh, Hamid, Werner Zellinger, Maura Pintor, et al.. (2023). Rethinking data augmentation for adversarial robustness. Information Sciences. 654. 119838–119838. 4 indexed citations

Grosse, Kathrin, Ambra Demontis, Sebastiano Vascon, et al.. (2023). Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Computing Surveys. 55(13s). 1–39. 58 indexed citations

Moser, Bernhard, et al.. (2022). Tessellation-Filtering ReLU Neural Networks. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 3335–3341. 1 indexed citations

Zellinger, Werner, et al.. (2021). The balancing principle for parameter choice in distance-regularized domain adaptation. Neural Information Processing Systems. 34.

Zellinger, Werner & Bernhard Moser. (2021). On the truncated Hausdorff moment problem under Sobolev regularity conditions. Applied Mathematics and Computation. 400. 126057–126057.

Zellinger, Werner, Mohit Kumar, David James Brunner, et al.. (2021). Beyond federated learning: On confidentiality-critical machine learning applications in industry. Procedia Computer Science. 180. 734–743. 14 indexed citations

Gizewski, Elke R., Lukas Mayer‐Suess, Bernhard Moser, et al.. (2021). On a regularization of unsupervised domain adaptation in RKHS. Applied and Computational Harmonic Analysis. 57. 201–227. 8 indexed citations

Fischer, Lukas, Lisa Ehrlinger, Verena Geist, et al.. (2020). AI System Engineering—Key Challenges and Lessons Learned. SHILAP Revista de lepidopterología. 3(1). 56–83. 29 indexed citations

10.

Zellinger, Werner, Bernhard Moser, & Susanne Saminger‐Platz. (2020). Learning Bounds for Moment-Based Domain Adaptation.. arXiv (Cornell University). 1 indexed citations

11.

Nikzad‐Langerodi, Ramin, Werner Zellinger, Susanne Saminger‐Platz, & Bernhard Moser. (2020). Domain adaptation for regression under Beer–Lambert’s law. Knowledge-Based Systems. 210. 106447–106447. 51 indexed citations

12.

Nikzad‐Langerodi, Ramin, Werner Zellinger, Susanne Saminger‐Platz, & Bernhard Moser. (2019). Domain-Invariant Regression Under Beer-Lambert's Law. 581–586. 6 indexed citations

13.

Zellinger, Werner, et al.. (2019). Multi-source transfer learning of time series in cyclical manufacturing. Journal of Intelligent Manufacturing. 31(3). 777–787. 19 indexed citations

14.

Zellinger, Werner, Bernhard Moser, Thomas Grubinger, et al.. (2019). Robust unsupervised domain adaptation for neural networks via moment alignment. Information Sciences. 483. 174–191. 68 indexed citations

15.

Nikzad‐Langerodi, Ramin, Werner Zellinger, Edwin Lughofer, & Susanne Saminger‐Platz. (2018). Domain-Invariant Partial-Least-Squares Regression. Analytical Chemistry. 90(11). 6693–6701. 65 indexed citations

16.

Chasparis, Georgios C., et al.. (2016). On the optimization of material usage in power transformer manufacturing. 680–685. 2 indexed citations

17.

Zellinger, Werner, et al.. (2016). Linear Optimization Approach for Depth Range Adaption of Stereoscopic Videos. Electronic Imaging. 28(5). 1–6. 6 indexed citations

18.

Gelautz, Margrit, et al.. (2015). Trifocal system for high-quality inter-camera mapping and virtual view synthesis. 1–8. 2 indexed citations

19.

Zellinger, Werner & Bernhard Moser. (2015). Improving Visual Discomfort Prediction for Stereoscopic Images via Disparity-based Contrast. Journal of Imaging Science and Technology. 59(6). 60401–1. 2 indexed citations

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.

Explore authors with similar magnitude of impact