Andrej Gisbrecht

830 total citations
27 papers, 494 citations indexed

About

Andrej Gisbrecht is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Andrej Gisbrecht has authored 27 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Andrej Gisbrecht's work include Face and Expression Recognition (10 papers), Neural Networks and Applications (9 papers) and Data Visualization and Analytics (6 papers). Andrej Gisbrecht is often cited by papers focused on Face and Expression Recognition (10 papers), Neural Networks and Applications (9 papers) and Data Visualization and Analytics (6 papers). Andrej Gisbrecht collaborates with scholars based in Germany, Netherlands and United Kingdom. Andrej Gisbrecht's co-authors include Barbara Hammer, Alexander Schulz, Bassam Mokbel, Frank-Michael Schleif, Wouter Lueks, Alexander Sczyrba, Daniela Hofmann, Peter Tiňo, Boon Ping Gan and Michael Biehl and has published in prestigious journals such as Neurocomputing, Journal of the American College of Surgeons and International Journal of Neural Systems.

In The Last Decade

Andrej Gisbrecht

24 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrej Gisbrecht Germany 11 219 204 63 38 37 27 494
Xinyu Niu United Kingdom 18 250 1.1× 344 1.7× 52 0.8× 33 0.9× 24 0.6× 71 818
Oleg Okun Finland 14 179 0.8× 263 1.3× 80 1.3× 31 0.8× 59 1.6× 29 483
Jianhua Xu China 13 310 1.4× 263 1.3× 130 2.1× 31 0.8× 21 0.6× 42 554
Muhammad Kashif Hanif Pakistan 9 206 0.9× 113 0.6× 33 0.5× 31 0.8× 47 1.3× 27 524
Zhuoping Zhou United States 2 208 0.9× 253 1.2× 25 0.4× 38 1.0× 51 1.4× 5 408
Jiun-Wei Liou Taiwan 5 131 0.6× 120 0.6× 36 0.6× 34 0.9× 38 1.0× 8 432
Lipo Wang Singapore 12 268 1.2× 117 0.6× 41 0.7× 48 1.3× 42 1.1× 14 499

Countries citing papers authored by Andrej Gisbrecht

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Schleif, Frank-Michael, Andrej Gisbrecht, & Peter Tiňo. (2018). Supervised low rank indefinite kernel approximation using minimum enclosing balls. Neurocomputing. 318. 213–226. 6 indexed citations
3.
Schleif, Frank-Michael, Andrej Gisbrecht, & Peter Tiňo. (2015). Probabilistic Classification Vector Machine at large scale.. University of Birmingham Research Portal (University of Birmingham). 1 indexed citations
4.
Gisbrecht, Andrej. (2015). Advances in dissimilarity-based data visualisation. Journal of the American College of Surgeons. 200(4). 584–92.
5.
Gisbrecht, Andrej & Barbara Hammer. (2015). Data visualization by nonlinear dimensionality reduction. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 5(2). 51–73. 57 indexed citations
6.
Gisbrecht, Andrej, Alexander Schulz, & Barbara Hammer. (2014). Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing. 147. 71–82. 190 indexed citations
7.
Hofmann, Daniela, Andrej Gisbrecht, & Barbara Hammer. (2014). Efficient approximations of robust soft learning vector quantization for non-vectorial data. Neurocomputing. 147. 96–106. 13 indexed citations
8.
Schleif, Frank-Michael, et al.. (2012). Fast approximated relational and kernel clustering. PUB – Publications at Bielefeld University (Bielefeld University). 5 indexed citations
9.
Mokbel, Bassam, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, & Barbara Hammer. (2012). Visualizing the quality of dimensionality reduction. University of Groningen research database (University of Groningen / Centre for Information Technology). 1 indexed citations
10.
Gisbrecht, Andrej, Wouter Lueks, Bassam Mokbel, & Barbara Hammer. (2012). Out-of-sample kernel extensions for nonparametric dimensionality reduction. PUB – Publications at Bielefeld University (Bielefeld University). 531–536. 8 indexed citations
11.
Hofmann, Daniela, Andrej Gisbrecht, & Barbara Hammer. (2012). Discriminative probabilistic prototype based models in kernel space. PUB – Publications at Bielefeld University (Bielefeld University).
12.
Gisbrecht, Andrej, Bassam Mokbel, & Barbara Hammer. (2012). Linear basis-function t-SNE for fast nonlinear dimensionality reduction. 1–8. 31 indexed citations
13.
Schulz, Alexander, Andrej Gisbrecht, Kerstin Bunte, & Barbara Hammer. (2012). How to visualize a classifier. PUB – Publications at Bielefeld University (Bielefeld University). 73–83. 1 indexed citations
14.
Gisbrecht, Andrej, et al.. (2012). Approximation techniques for clustering dissimilarity data. Neurocomputing. 90. 72–84. 12 indexed citations
15.
Gisbrecht, Andrej, et al.. (2012). LINEAR TIME RELATIONAL PROTOTYPE BASED LEARNING. International Journal of Neural Systems. 22(5). 1250021–1250021. 14 indexed citations
16.
Gisbrecht, Andrej & Barbara Hammer. (2011). Relevance learning in generative topographic mapping. Neurocomputing. 74(9). 1351–1358. 8 indexed citations
17.
Gisbrecht, Andrej, Bassam Mokbel, & Barbara Hammer. (2011). Relational generative topographic mapping. Neurocomputing. 74(9). 1359–1371. 13 indexed citations
18.
Gisbrecht, Andrej, Bassam Mokbel, & Barbara Hammer. (2010). The Nystrom approximation for relational generative topographic mappings. PUB – Publications at Bielefeld University (Bielefeld University). 8 indexed citations
19.
Mokbel, Bassam, Andrej Gisbrecht, & Barbara Hammer. (2010). On the effect of clustering on quality assessment measures for dimensionality reduction. Neural Information Processing Systems. 37(9). 285–7. 2 indexed citations
20.
Gisbrecht, Andrej, Bassam Mokbel, & Barbara Hammer. (2010). Relational Generative Topographic Map. PUB – Publications at Bielefeld University (Bielefeld University). 5 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

Rankless by CCL
2026