Andrej Gisbrecht
About
In The Last Decade
Andrej Gisbrecht
24 papers receiving 459 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 219
- Computer Vision and Pattern Recognition 204
- Molecular Biology 63
- Control and Systems Engineering 38
- Signal Processing 37
Countries citing papers authored by Andrej Gisbrecht
This map shows the geographic impact of Andrej Gisbrecht'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 Andrej Gisbrecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrej Gisbrecht more than expected).
Fields of papers citing papers by Andrej Gisbrecht
This network shows the impact of papers produced by Andrej Gisbrecht. 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 Andrej Gisbrecht. The network helps show where Andrej Gisbrecht may publish in the future.
Co-authorship network of co-authors of Andrej Gisbrecht
This figure shows the co-authorship network connecting the top 25 collaborators of Andrej Gisbrecht. A scholar is included among the top collaborators of Andrej Gisbrecht 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 Andrej Gisbrecht. Andrej Gisbrecht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | A Standard Framework for AI-Driven Optimizations in Various Complex Domains | Tibor Bosse, Boon Ping Gan et al. | 0 | |
| 2 | Supervised low rank indefinite kernel approximation using minimum enclosing balls | Neurocomputing | Frank-Michael Schleif, Andrej Gisbrecht et al. | 6 |
| 3 | Probabilistic Classification Vector Machine at large scale. | University of Birmingham Research Portal (University of Birmingham) | Frank-Michael Schleif, Andrej Gisbrecht et al. | 1 |
| 4 | Advances in dissimilarity-based data visualisation | Journal of the American College of Surgeons | Andrej Gisbrecht | 0 |
| 5 | Data visualization by nonlinear dimensionality reduction | Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery | Andrej Gisbrecht, Barbara Hammer | 57 |
| 6 | Parametric nonlinear dimensionality reduction using kernel t-SNE | Neurocomputing | Andrej Gisbrecht, Alexander Schulz et al. | 190 |
| 7 | Efficient approximations of robust soft learning vector quantization for non-vectorial data | Neurocomputing | Daniela Hofmann, Andrej Gisbrecht et al. | 13 |
| 8 | Fast approximated relational and kernel clustering | PUB – Publications at Bielefeld University (Bielefeld University) | Frank-Michael Schleif, Andrej Gisbrecht et al. | 5 |
| 9 | Visualizing the quality of dimensionality reduction | University of Groningen research database (University of Groningen / Centre for Information Technology) | Bassam Mokbel, Wouter Lueks et al. | 1 |
| 10 | Out-of-sample kernel extensions for nonparametric dimensionality reduction | PUB – Publications at Bielefeld University (Bielefeld University) | Andrej Gisbrecht, Wouter Lueks et al. | 8 |
| 11 | Discriminative probabilistic prototype based models in kernel space | PUB – Publications at Bielefeld University (Bielefeld University) | Daniela Hofmann, Andrej Gisbrecht et al. | 0 |
| 12 | Linear basis-function t-SNE for fast nonlinear dimensionality reduction | Andrej Gisbrecht, Bassam Mokbel et al. | 31 | |
| 13 | How to visualize a classifier | PUB – Publications at Bielefeld University (Bielefeld University) | Alexander Schulz, Andrej Gisbrecht et al. | 1 |
| 14 | Approximation techniques for clustering dissimilarity data | Neurocomputing | Andrej Gisbrecht, Frank-Michael Schleif et al. | 12 |
| 15 | LINEAR TIME RELATIONAL PROTOTYPE BASED LEARNING | International Journal of Neural Systems | Andrej Gisbrecht, Bassam Mokbel et al. | 14 |
| 16 | Relevance learning in generative topographic mapping | Neurocomputing | Andrej Gisbrecht, Barbara Hammer | 8 |
| 17 | Relational generative topographic mapping | Neurocomputing | Andrej Gisbrecht, Bassam Mokbel et al. | 13 |
| 18 | The Nystrom approximation for relational generative topographic mappings | PUB – Publications at Bielefeld University (Bielefeld University) | Andrej Gisbrecht, Bassam Mokbel et al. | 8 |
| 19 | On the effect of clustering on quality assessment measures for dimensionality reduction | Neural Information Processing Systems | Bassam Mokbel, Andrej Gisbrecht et al. | 2 |
| 20 | Relational Generative Topographic Map | PUB – Publications at Bielefeld University (Bielefeld University) | Andrej Gisbrecht, Bassam Mokbel et al. | 5 |
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.