Jochen Garcke
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
- Health Informatics top 5%
Papers in
-
- Tensor decomposition and applications 4
-
- Computer Graphics and Visualization Techniques 4
- Co-authors
- Bastian BohnRibana RoscherMarco F. DuarteMichael GriebelMarkus HeglandSebastian MayerSven GiesselbachBirgit Kirsch
- Journals
- Journal of Scientific Computing (2 papers)IEEE Access (2 papers)International Journal of Crashworthiness (2 papers)Journal of Computational Physics (2 papers)Computing (2 papers)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Jochen Garcke
49 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Computational Mathematics 78
- Health Informatics 45
- Statistics, Probability and Uncertainty 147
- Artificial Intelligence 573
- Numerical Analysis 95
Countries citing papers authored by Jochen Garcke
This map shows the geographic impact of Jochen Garcke'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 Jochen Garcke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Garcke more than expected).
Fields of papers citing papers by Jochen Garcke
This network shows the impact of papers produced by Jochen Garcke. 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 Jochen Garcke. The network helps show where Jochen Garcke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jochen Garcke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 1 | |
| 9 | Adaptive wavelet pooling for convolutional neural networks | 2021 | 6 |
| 10 | 2021 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2019 | 5 | |
| 13 | 2015 | 15 | |
| 14 | 2014 | 20 | |
| 15 | Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift | 2013 | 4 |
| 16 | On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap | 2012 | 6 |
| 17 | 2012 | 65 | |
| 18 | 2006 | 47 | |
| 19 | 2006 | 18 | |
| 20 | 2001 | 68 |
About Jochen Garcke
Jochen Garcke is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design, Computational Mechanics, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), 3D Shape Modeling and Analysis (5 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Explainable Artificial Intelligence (XAI) (5 papers), Computer Graphics and Visualization Techniques (4 papers), Tensor decomposition and applications (4 papers), Scientific Computing and Data Management (4 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Computational Mathematics (78 citations), Health Informatics (45 citations), Statistics, Probability and Uncertainty (147 citations), Artificial Intelligence (573 citations) and Numerical Analysis (95 citations). Jochen Garcke has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Bastian Bohn, Ribana Roscher, Marco F. Duarte, Michael Griebel, Markus Hegland, Sebastian Mayer, Sven Giesselbach, Birgit Kirsch, Rajkumar Ramamurthy and Jannis Schuecker. Their work appears in journals such as Journal of Scientific Computing, IEEE Access, International Journal of Crashworthiness, Journal of Computational Physics and 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.