Kai Polsterer

1.0k total citations
36 papers, 317 citations indexed

About

Kai Polsterer is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, Kai Polsterer has authored 36 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Astronomy and Astrophysics, 8 papers in Instrumentation and 8 papers in Computational Mechanics. Recurrent topics in Kai Polsterer's work include Galaxies: Formation, Evolution, Phenomena (12 papers), Astronomy and Astrophysical Research (8 papers) and Adaptive optics and wavefront sensing (6 papers). Kai Polsterer is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (12 papers), Astronomy and Astrophysical Research (8 papers) and Adaptive optics and wavefront sensing (6 papers). Kai Polsterer collaborates with scholars based in Germany, Australia and Denmark. Kai Polsterer's co-authors include Fabian Gieseke, Timothy J. Galvin, Minh Huynh, X. Rosalind Wang, R. P. Norris, S. Cavuoti, F. Pozo Núñez, G. Pietrzyński, G. Heald and Andrew O’Brien and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Expert Systems with Applications and Astronomy and Astrophysics.

In The Last Decade

Kai Polsterer

34 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Polsterer Germany 11 206 58 48 46 45 36 317
Markus Michael Rau United States 12 222 1.1× 80 1.4× 46 1.0× 18 0.4× 76 1.7× 28 342
Nicholas M. Ball United States 6 297 1.4× 113 1.9× 98 2.0× 54 1.2× 95 2.1× 9 461
Michelle Lochner South Africa 11 241 1.2× 56 1.0× 16 0.3× 38 0.8× 50 1.1× 21 336
H. J. Dickinson United Kingdom 8 147 0.7× 55 0.9× 35 0.7× 23 0.5× 32 0.7× 28 244
Christopher Bonnett Spain 7 294 1.4× 157 2.7× 41 0.9× 12 0.3× 44 1.0× 8 341
D. Tuccillo France 5 226 1.1× 122 2.1× 42 0.9× 17 0.4× 22 0.5× 5 290
J. C. Maureira Chile 10 209 1.0× 56 1.0× 23 0.5× 19 0.4× 20 0.4× 22 347
L. Galluccio France 10 289 1.4× 106 1.8× 38 0.8× 14 0.3× 56 1.2× 21 396
Christopher Morrison United States 12 291 1.4× 115 2.0× 66 1.4× 6 0.1× 34 0.8× 15 342
S. Pires France 7 212 1.0× 70 1.2× 11 0.2× 22 0.5× 15 0.3× 9 254

Countries citing papers authored by Kai Polsterer

Since Specialization
Citations

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

Fields of papers citing papers by Kai Polsterer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Polsterer

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Polsterer. A scholar is included among the top collaborators of Kai Polsterer 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 Kai Polsterer. Kai Polsterer 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
1.
Vantyghem, A. N., Timothy J. Galvin, C. P. O’Dea, et al.. (2024). Rotation and flipping invariant self-organizing maps with astronomical images: A cookbook and application to the VLA Sky Survey QuickLook images. Astronomy and Computing. 47. 100824–100824. 4 indexed citations
2.
Núñez, F. Pozo, et al.. (2023). A Gaussian process cross-correlation approach to time-delay estimation in active galactic nuclei. Astronomy and Astrophysics. 674. A83–A83. 3 indexed citations
3.
Núñez, F. Pozo, B. Czerny, Swayamtrupta Panda, et al.. (2023). Modelling photometric reverberation mapping data for the next generation of big data surveys. Quasar accretion discs sizes with the LSST. Monthly Notices of the Royal Astronomical Society. 522(2). 2002–2018. 16 indexed citations
4.
Galvin, Timothy J., Minh Huynh, R. P. Norris, et al.. (2020). Cataloguing the radio-sky with unsupervised machine learning: a new approach for the SKA era. Monthly Notices of the Royal Astronomical Society. 497(3). 2730–2758. 38 indexed citations
5.
Polsterer, Kai & Fabian Gieseke. (2019). Probability Density Functions for Astronomy. 521. 240. 1 indexed citations
6.
Polsterer, Kai, Fabian Gieseke, & Bernd Doser. (2019). PINK: Parallelized rotation and flipping INvariant Kohonen maps. ascl. 3 indexed citations
7.
Galvin, Timothy J., Minh Huynh, R. P. Norris, et al.. (2019). Radio Galaxy Zoo: Knowledge Transfer Using Rotationally Invariant Self-organizing Maps. Publications of the Astronomical Society of the Pacific. 131(1004). 108009–108009. 21 indexed citations
8.
Cavuoti, S., et al.. (2018). Return of the features. Astronomy and Astrophysics. 616. A97–A97. 24 indexed citations
9.
Polsterer, Kai, et al.. (2017). Photometric redshift estimation via deep learning. Astronomy and Astrophysics. 609. A111–A111. 92 indexed citations
10.
Polsterer, Kai, et al.. (2017). DCMDN: Deep Convolutional Mixture Density Network. ascl. 1 indexed citations
11.
Polsterer, Kai, Fabian Gieseke, & Christian Igel. (2015). Automatic Galaxy Classification via Machine Learning Techniques: Parallelized Rotation/Flipping INvariant Kohonen Maps (PINK). Research at the University of Copenhagen (University of Copenhagen). 495. 81. 2 indexed citations
12.
Tiňo, Peter, et al.. (2015). Autoencoding Time Series for Visualisation. arXiv (Cornell University). 1 indexed citations
13.
Polsterer, Kai, et al.. (2015). Determining spectroscopic redshifts by usingknearest neighbor regression. Astronomy and Astrophysics. 576. A132–A132. 11 indexed citations
14.
Gieseke, Fabian, Kai Polsterer, Cosmin E. Oancea, & Christian Igel. (2014). Speedy greedy feature selection: Better redshift estimation via massive parallelism.. Research at the University of Copenhagen (University of Copenhagen). 3 indexed citations
15.
Polsterer, Kai, Fabian Gieseke, & Oliver Krämer. (2012). Galaxy Classification without Feature Extraction. 461. 561.
16.
Gieseke, Fabian, Kai Polsterer, & P. Zinn. (2012). Photometric Redshift Estimation of Quasars: Local versus Global Regression. 461. 537. 1 indexed citations
17.
Polsterer, Kai, et al.. (2010). The LUCIFER control software. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7740. 774004–774004. 1 indexed citations
18.
Polsterer, Kai, et al.. (2007). Operating the LUCIFER Instrument. 328(7). 629.
19.
Polsterer, Kai, et al.. (2004). The development process of the LUCIFER control software. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5496. 469–469. 2 indexed citations
20.
Hofmann, Reiner, et al.. (2004). The cryogenic MOS unit for LUCIFER. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5492. 1243–1243. 7 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.

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