Kerstin Bunte

1.4k total citations
76 papers, 767 citations indexed

About

Kerstin Bunte is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Kerstin Bunte has authored 76 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 11 papers in Astronomy and Astrophysics. Recurrent topics in Kerstin Bunte's work include Neural Networks and Applications (11 papers), Image Retrieval and Classification Techniques (10 papers) and Data Visualization and Analytics (9 papers). Kerstin Bunte is often cited by papers focused on Neural Networks and Applications (11 papers), Image Retrieval and Classification Techniques (10 papers) and Data Visualization and Analytics (9 papers). Kerstin Bunte collaborates with scholars based in Netherlands, Germany and United Kingdom. Kerstin Bunte's co-authors include Michael Biehl, Barbara Hammer, Thomas Villmann, Petra Schneider, Axel Wismüller, Sven Haase, Nicolai Petkov, Frank-Michael Schleif, Marcel F. Jonkman and Han Stiekema and has published in prestigious journals such as Bioinformatics, PLoS ONE and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Kerstin Bunte

68 papers receiving 714 citations

Peers

Kerstin Bunte
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 309
  • Artificial Intelligence 300
  • Radiology, Nuclear Medicine and Imaging 100
  • Molecular Biology 83
  • Cognitive Neuroscience 79
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Citations per field, relative to Kerstin Bunte
Kerstin Bunte · 1×
Citations per year, relative to Kerstin Bunte
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Countries citing papers authored by Kerstin Bunte

Since Specialization
Citations

This map shows the geographic impact of Kerstin Bunte'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 Kerstin Bunte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerstin Bunte more than expected).

Fields of papers citing papers by Kerstin Bunte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kerstin Bunte. 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 Kerstin Bunte. The network helps show where Kerstin Bunte may publish in the future.

Co-authorship network of co-authors of Kerstin Bunte

This figure shows the co-authorship network connecting the top 25 collaborators of Kerstin Bunte. A scholar is included among the top collaborators of Kerstin Bunte 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 Kerstin Bunte. Kerstin Bunte 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
# Work Indexed citations
1 0
2 0
3 3
4 2
5 9
6 2
7 0
8 4
9 3
10 1
11
Unsupervised dimensionality reduction: the challenge of big data visulisation
2
12 26
13 7
14 45
15
Proc. IEEE Symp. on Computational Intelligence and Data Mining SSCI 2011 CDIM
3
16
Discriminative visualization by limited rank matrix learning
13
17
a Debris Risk Assessment Tool Supporting Mitigation Guidelines
8
18
Detection and Simulation of Debris Cloud Impacts
1
19
Breadboard Model of a Calorimetric Debris Detector
1
20
An Introduction to the Upgraded ESA MASTER Model
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.

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