Tomasz Kacprzak

6.4k total citations
26 papers, 653 citations indexed

About

Tomasz Kacprzak is a scholar working on Astronomy and Astrophysics, Instrumentation and Artificial Intelligence. According to data from OpenAlex, Tomasz Kacprzak has authored 26 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 8 papers in Instrumentation and 5 papers in Artificial Intelligence. Recurrent topics in Tomasz Kacprzak's work include Galaxies: Formation, Evolution, Phenomena (21 papers), Cosmology and Gravitation Theories (9 papers) and Astronomy and Astrophysical Research (8 papers). Tomasz Kacprzak is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (21 papers), Cosmology and Gravitation Theories (9 papers) and Astronomy and Astrophysical Research (8 papers). Tomasz Kacprzak collaborates with scholars based in Switzerland, Germany and United Kingdom. Tomasz Kacprzak's co-authors include Alexandre Réfrégier, Janis Fluri, A. Amara, J. Zuntz, Barnaby Rowe, Aurélien Lucchi, Thomas Hofmann, Aurel Schneider, Raphaël Sgier and R. Armstrong and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Physical review. D and Physical Review X.

In The Last Decade

Tomasz Kacprzak

25 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomasz Kacprzak Switzerland 12 536 161 124 114 105 26 653
François Lanusse France 18 550 1.0× 188 1.2× 80 0.6× 84 0.7× 129 1.2× 38 769
R. Armstrong United States 11 655 1.2× 242 1.5× 107 0.9× 167 1.5× 115 1.1× 24 779
Mike Jarvis United States 13 667 1.2× 241 1.5× 125 1.0× 180 1.6× 88 0.8× 32 785
B. Nord United States 11 680 1.3× 294 1.8× 150 1.2× 42 0.4× 62 0.6× 41 812
Yashar Hezaveh Canada 14 583 1.1× 146 0.9× 116 0.9× 92 0.8× 31 0.3× 31 727
J. Zuntz United Kingdom 13 742 1.4× 197 1.2× 283 2.3× 114 1.0× 79 0.8× 29 829
James Bosch United States 7 473 0.9× 186 1.2× 72 0.6× 126 1.1× 83 0.8× 10 560
Benjamin Giblin United Kingdom 15 607 1.1× 234 1.5× 120 1.0× 64 0.6× 29 0.3× 25 672
S. Pires France 11 457 0.9× 149 0.9× 127 1.0× 116 1.0× 58 0.6× 21 546
Laurence Perreault-Levasseur Canada 12 516 1.0× 82 0.5× 228 1.8× 99 0.9× 35 0.3× 28 660

Countries citing papers authored by Tomasz Kacprzak

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Kacprzak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Kacprzak

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Kacprzak. A scholar is included among the top collaborators of Tomasz Kacprzak 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 Tomasz Kacprzak. Tomasz Kacprzak 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.
Kacprzak, Tomasz, et al.. (2025). galsbi: A Python package for the GalSBI galaxy population model. The Journal of Open Source Software. 10(114). 8766–8766. 1 indexed citations
2.
Kacprzak, Tomasz, Luca Tortorelli, Claudio Bruderer, et al.. (2025). UFig v1: The ultra-fast image generator. The Journal of Open Source Software. 10(113). 8697–8697. 2 indexed citations
3.
Réfrégier, Alexandre, et al.. (2024). Fast forward modelling of galaxy spatial and statistical distributions. Journal of Cosmology and Astroparticle Physics. 2024(4). 23–23. 4 indexed citations
4.
Reeves, Alexander G., et al.. (2024). 12 × 2 pt combined probes: pipeline, neutrino mass, and data compression. Journal of Cosmology and Astroparticle Physics. 2024(1). 42–42. 8 indexed citations
5.
Kacprzak, Tomasz, et al.. (2024). Simulation-based inference of deep fields: galaxy population model and redshift distributions. Journal of Cosmology and Astroparticle Physics. 2024(5). 49–49. 11 indexed citations
6.
Kacprzak, Tomasz, Janis Fluri, Aurel Schneider, Alexandre Réfrégier, & Joachim Stadel. (2023). CosmoGridV1: a simulated 𝗐CDM theory prediction for map-level cosmological inference. Journal of Cosmology and Astroparticle Physics. 2023(2). 50–50. 19 indexed citations
7.
Tan, T., D. Zürcher, Janis Fluri, et al.. (2023). Assessing theoretical uncertainties for cosmological constraints from weak lensing surveys. Monthly Notices of the Royal Astronomical Society. 522(3). 3766–3783. 4 indexed citations
8.
Kacprzak, Tomasz, et al.. (2023). Redshift requirements for cosmic shear with intrinsic alignment. Journal of Cosmology and Astroparticle Physics. 2023(1). 33–33. 12 indexed citations
9.
Zürcher, D., et al.. (2023). Towards a full wCDM map-based analysis for weak lensing surveys. Monthly Notices of the Royal Astronomical Society. 525(1). 761–784. 11 indexed citations
10.
Kacprzak, Tomasz & Janis Fluri. (2022). DeepLSS: Breaking Parameter Degeneracies in Large-Scale Structure with Deep-Learning Analysis of Combined Probes. Physical Review X. 12(3). 1 indexed citations
11.
Réfrégier, Alexandre, et al.. (2022). Rapid simulations of halo and subhalo clustering. Journal of Cosmology and Astroparticle Physics. 2022(11). 2–2. 6 indexed citations
12.
Zürcher, D., Janis Fluri, Raphaël Sgier, Tomasz Kacprzak, & Alexandre Réfrégier. (2021). Cosmological forecast for non-Gaussian statistics in large-scale weak lensing surveys. Journal of Cosmology and Astroparticle Physics. 2021(1). 28–28. 43 indexed citations
13.
Tortorelli, Luca, et al.. (2020). Measurement of the B-band galaxy Luminosity Function with Approximate Bayesian Computation. Journal of Cosmology and Astroparticle Physics. 2020(9). 48–48. 17 indexed citations
14.
Fluri, Janis, Tomasz Kacprzak, Aurélien Lucchi, et al.. (2019). Cosmological constraints with deep learning from KiDS-450 weak lensing maps. Physical review. D. 100(6). 87 indexed citations
15.
Kacprzak, Tomasz, Aurélien Lucchi, A. Amara, et al.. (2018). Fast cosmic web simulations with generative adversarial networks. Repository for Publications and Research Data (ETH Zurich). 59 indexed citations
16.
Kacprzak, Tomasz, et al.. (2018). Accelerating Approximate Bayesian Computation with Quantile Regression: application to cosmological redshift distributions. Journal of Cosmology and Astroparticle Physics. 2018(2). 42–42. 17 indexed citations
17.
Hergt, L. T., A. Amara, Robert Brandenberger, Tomasz Kacprzak, & Alexandre Réfrégier. (2017). Searching for cosmic strings in CMB anisotropy maps using wavelets and curvelets. Journal of Cosmology and Astroparticle Physics. 2017(6). 4–4. 20 indexed citations
18.
Rowe, Barnaby, Mike Jarvis, Rachel Mandelbaum, et al.. (2015). GalSim: The modular galaxy image simulation toolkit. Astronomy and Computing. 10. 121–150. 216 indexed citations
19.
Danielski, Camilla, Tomasz Kacprzak, & G. Tinetti. (2013). Detrending the long-term stellar activity and the systematics of the Kepler data with a non-parametric approach. arXiv (Cornell University). 1 indexed citations
20.
Zuntz, J., Tomasz Kacprzak, L. M. Voigt, et al.. (2013). im3shape: a maximum likelihood galaxy shear measurement code for cosmic gravitational lensing. Monthly Notices of the Royal Astronomical Society. 434(2). 1604–1618. 41 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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