Joachim Giesen
About
In The Last Decade
Joachim Giesen
93 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 655
- Computational Mechanics 590
- Computer Graphics and Computer-Aided Design 571
- Computational Theory and Mathematics 187
- Artificial Intelligence 113
Countries citing papers authored by Joachim Giesen
This map shows the geographic impact of Joachim Giesen'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 Joachim Giesen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joachim Giesen more than expected).
Fields of papers citing papers by Joachim Giesen
This network shows the impact of papers produced by Joachim Giesen. 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 Joachim Giesen. The network helps show where Joachim Giesen may publish in the future.
Co-authorship network of co-authors of Joachim Giesen
This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Giesen. A scholar is included among the top collaborators of Joachim Giesen 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 Joachim Giesen. Joachim Giesen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | Fast Entity Resolution With Mock Labels and Sorted Integer Sets. | 1 |
| 4 | Computing Higher Order Derivatives of Matrix and Tensor Expressions | 11 |
| 5 | Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains | 2 |
| 6 | Robust and Efficient Kernel Hyperparameter Paths with Guarantees | 5 |
| 7 | Regularization Paths with Guarantees for Convex Semidefinite Optimization. | 9 |
| 8 | Approximating Concavely Parameterized Optimization Problems | 13 |
| 9 | Choice Based Conjoint Analysis: Discrete Choice Models vs. Direct Regression | 3 |
| 10 | 9 | |
| 11 | Minimizing the total absolute Gaussian curvature in a terrain is hard | 3 |
| 12 | Kernel Methods for Implicit Surface Modeling | 37 |
| 13 | 50 | |
| 14 | Computing the Weighted Flow Complex. | 4 |
| 15 | Towards a Theory of Peer-to-Peer Computability. | 4 |
| 16 | The complexity of flow diagrams in the plane. | 1 |
| 17 | 46 | |
| 18 | Detecting boundaries for surface reconstruction using co-cones | 11 |
| 19 | Decimating samples for mesh simplification. | 31 |
| 20 | Sample Shuffling For Quality Hierarchic Surface Meshing. | 2 |
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.