Anton Schwaighofer
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Molecular Biology
- Co-authors
- Volker TrespKai YuXiaowei XuH.-P. KriegelTimon SchroeterSebastian MikaAntonius ter LaakNikolaus Heinrich
- Topics
- Computational Drug Discovery Methods (6 papers)Gaussian Processes and Bayesian Inference (6 papers)Analytical Chemistry and Chromatography (5 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Biomedical EngineeringIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Anton Schwaighofer
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 577
- Computational Theory and Mathematics 255
- Computer Vision and Pattern Recognition 246
- Information Systems 229
- Molecular Biology 136
Countries citing papers authored by Anton Schwaighofer
This map shows the geographic impact of Anton Schwaighofer'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 Anton Schwaighofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Schwaighofer more than expected).
Fields of papers citing papers by Anton Schwaighofer
This network shows the impact of papers produced by Anton Schwaighofer. 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 Anton Schwaighofer. The network helps show where Anton Schwaighofer may publish in the future.
Co-authorship network of co-authors of Anton Schwaighofer
This figure shows the co-authorship network connecting the top 25 collaborators of Anton Schwaighofer. A scholar is included among the top collaborators of Anton Schwaighofer 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 Anton Schwaighofer. Anton Schwaighofer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 11 | |
| 3 | 14 | |
| 4 | 55 | |
| 5 | Introduction to Dataset Shift | 1 |
| 6 | 23 | |
| 7 | When Training and Test Sets Are Different: Characterizing Learning Transfer | 5 |
| 8 | Geometry of Covariate Shift with Applications to Active Learning | 7 |
| 9 | 22 | |
| 10 | 51 | |
| 11 | 35 | |
| 12 | 23 | |
| 13 | 56 | |
| 14 | Learning Gaussian Process Kernels via Hierarchical Bayes | 112 |
| 15 | 207 | |
| 16 | GPPS: A Gaussian Process Positioning System for Cellular Networks | 101 |
| 17 | 23 | |
| 18 | Transductive and Inductive Methods for Approximate Gaussian Process Regression | 42 |
| 19 | The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging | 5 |
| 20 | 2 |
About Anton Schwaighofer
Anton Schwaighofer is a scholar working on Health Informatics, Artificial Intelligence and Computational Theory and Mathematics, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Health Informatics (49 citations), Artificial Intelligence (577 citations) and Computational Theory and Mathematics (255 citations). Anton Schwaighofer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Volker Tresp, Kai Yu, Kai Yu, Xiaowei Xu, H.-P. Kriegel, Timon Schroeter, Sebastian Mika, Antonius ter Laak, Nikolaus Heinrich and Klaus‐Robert Müller. Their work appears in journals such as Nature Communications, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Knowledge and Data Engineering.
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.