Marcel P. van Daalen

1.5k total citations · 1 hit paper
23 papers, 944 citations indexed

About

Marcel P. van Daalen is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Marcel P. van Daalen has authored 23 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Astronomy and Astrophysics, 13 papers in Instrumentation and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Marcel P. van Daalen's work include Galaxies: Formation, Evolution, Phenomena (18 papers), Astronomy and Astrophysical Research (13 papers) and Cosmology and Gravitation Theories (9 papers). Marcel P. van Daalen is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (18 papers), Astronomy and Astrophysical Research (13 papers) and Cosmology and Gravitation Theories (9 papers). Marcel P. van Daalen collaborates with scholars based in Netherlands, United Kingdom and United States. Marcel P. van Daalen's co-authors include Joop Schaye, Ian G. McCarthy, Claudio Dalla Vecchia, Marcello Cacciato, Matthieu Schaller, Carlos S. Frenk, A.M.C Le Brun, Roi Kugel, Jaime Salcido and Willem Elbers and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Marcel P. van Daalen

22 papers receiving 896 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The FLAMINGO project: cosmological hydrodynamical simulations for large-scale structure and galaxy cluster surveys

2023 134 citations Joop Schaye, Roi Kugel et al. Monthly Notices of the Royal Astronomical Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcel P. van Daalen Netherlands	12	872	364	299	59	52	23	944
A.M.C Le Brun France	13	1.3k 1.5×	491 1.3×	407 1.4×	71 1.2×	37 0.7×	19	1.3k
Marika Asgari United Kingdom	19	963 1.1×	295 0.8×	327 1.1×	60 1.0×	35 0.7×	43	1.0k
Tomoaki Ishiyama Japan	15	736 0.8×	215 0.6×	357 1.2×	63 1.1×	39 0.8×	45	869
Tilman Tröster United Kingdom	18	1.2k 1.4×	302 0.8×	515 1.7×	80 1.4×	47 0.9×	43	1.3k
Mika Rafieferantsoa South Africa	8	1.1k 1.2×	492 1.4×	183 0.6×	41 0.7×	35 0.7×	9	1.1k
Joseph DeRose United States	16	596 0.7×	251 0.7×	143 0.5×	48 0.8×	38 0.7×	27	651
Nicholas Battaglia United States	22	1.5k 1.8×	321 0.9×	570 1.9×	67 1.1×	51 1.0×	48	1.6k
Radosław Wojtak Denmark	21	1.1k 1.3×	292 0.8×	372 1.2×	99 1.7×	43 0.8×	49	1.2k
Eyal Kazin United States	9	1.2k 1.4×	346 1.0×	418 1.4×	71 1.2×	26 0.5×	11	1.2k
Steffen Heß Germany	10	915 1.0×	393 1.1×	228 0.8×	80 1.4×	38 0.7×	18	1.0k

Countries citing papers authored by Marcel P. van Daalen

Since Specialization

Citations

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

Fields of papers citing papers by Marcel P. van Daalen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel P. van Daalen. 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 Marcel P. van Daalen. The network helps show where Marcel P. van Daalen may publish in the future.

Co-authorship network of co-authors of Marcel P. van Daalen

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel P. van Daalen. A scholar is included among the top collaborators of Marcel P. van Daalen 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 Marcel P. van Daalen. Marcel P. van Daalen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Schaller, Matthieu, et al.. (2025). The flamingo project: baryon effects on the matter power spectrum. Monthly Notices of the Royal Astronomical Society. 539(2). 1337–1351. 8 indexed citations

McCarthy, Ian G., A. Amon, Joop Schaye, et al.. (2025). FLAMINGO: combining kinetic SZ effect and galaxy–galaxy lensing measurements to gauge the impact of feedback on large-scale structure. Monthly Notices of the Royal Astronomical Society. 540(1). 143–163. 7 indexed citations

Elbers, Willem, Carlos S. Frenk, Adrian Jenkins, et al.. (2025). The FLAMINGO project: the coupling between baryonic feedback and cosmology in light of the S8 tension. Monthly Notices of the Royal Astronomical Society. 537(2). 2160–2178. 10 indexed citations

Cochrane, R. K., et al.. (2025). Simultaneously modelling dusty star-forming galaxies and massive quiescents: a calibration framework for galaxy formation models. Monthly Notices of the Royal Astronomical Society. 542(4). 2808–2829.

Kay, Scott T., Joop Schaye, Roi Kugel, et al.. (2024). Inferring the dark matter splashback radius from cluster gas and observable profiles in the FLAMINGO simulations. Monthly Notices of the Royal Astronomical Society. 529(3). 2017–2031. 9 indexed citations

Upadhye, Amol, Juliana Kwan, Ian G. McCarthy, et al.. (2024). Non-linear CMB lensing with neutrinos and baryons: FLAMINGO simulations versus fast approximations. Monthly Notices of the Royal Astronomical Society. 529(2). 1862–1876. 3 indexed citations

Braspenning, Joey, Joop Schaye, Matthieu Schaller, et al.. (2024). The FLAMINGO project: galaxy clusters in comparison to X-ray observations. Monthly Notices of the Royal Astronomical Society. 533(3). 2656–2676. 12 indexed citations

Daalen, Marcel P. van, et al.. (2024). The contribution of massive haloes to the matter power spectrum in the presence of AGN feedback. Monthly Notices of the Royal Astronomical Society. 528(3). 4623–4642. 7 indexed citations

Schaller, Matthieu, Joop Schaye, Henk Hoekstra, et al.. (2024). The FLAMINGO project: baryonic impact on weak gravitational lensing convergence peak counts. Monthly Notices of the Royal Astronomical Society. 529(3). 2309–2326. 9 indexed citations

10.

Cochrane, R. K., Christopher C. Hayward, Robert M. Yates, et al.. (2024). Modeling the Multiwavelength Detection of Protoclusters. I. An Excess of Submillimeter Galaxies in Protocluster Cores. The Astrophysical Journal. 977(2). 204–204. 7 indexed citations

11.

Schaye, Joop, Roi Kugel, Matthieu Schaller, et al.. (2023). The FLAMINGO project: cosmological hydrodynamical simulations for large-scale structure and galaxy cluster surveys. Monthly Notices of the Royal Astronomical Society. 526(4). 4978–5020. 134 indexed citations breakdown →

12.

McCarthy, Ian G., Jaime Salcido, Joop Schaye, et al.. (2023). The FLAMINGO project: revisiting the S8 tension and the role of baryonic physics. Monthly Notices of the Royal Astronomical Society. 526(4). 5494–5519. 29 indexed citations

13.

Kugel, Roi, Joop Schaye, Matthieu Schaller, et al.. (2023). FLAMINGO: calibrating large cosmological hydrodynamical simulations with machine learning. Monthly Notices of the Royal Astronomical Society. 526(4). 6103–6127. 49 indexed citations

14.

Peacock, J. A., Shadab Alam, Yan-Chuan Cai, et al.. (2022). Galaxy and Mass Assembly (GAMA): probing galaxy-group correlations in redshift space with the halo streaming model. Monthly Notices of the Royal Astronomical Society. 517(1). 374–392. 3 indexed citations

15.

Daalen, Marcel P. van, Ian G. McCarthy, & Joop Schaye. (2019). Exploring the effects of galaxy formation on matter clustering through a library of simulation power spectra. Monthly Notices of the Royal Astronomical Society. 491(2). 2424–2446. 116 indexed citations

16.

Chisari, Nora Elisa, Alexander Mead, Shahab Joudaki, et al.. (2019). Modelling baryonic feedback for survey cosmology. Repository for Publications and Research Data (ETH Zurich). 112 indexed citations

17.

Daalen, Marcel P. van, Bruno Henriques, Raúl E. Angulo, & Simon D. M. White. (2016). The galaxy correlation function as a constraint on galaxy formation physics. Monthly Notices of the Royal Astronomical Society. 458(1). 934–949. 14 indexed citations

18.

Cacciato, Marcello, Joop Schaye, Henk Hoekstra, et al.. (2015). Intrinsic alignments of galaxies in the EAGLE and cosmo-OWLS simulations. Monthly Notices of the Royal Astronomical Society. 454(3). 3328–3340. 62 indexed citations

19.

Daalen, Marcel P. van & Joop Schaye. (2015). The contributions of matter inside and outside of haloes to the matter power spectrum. Monthly Notices of the Royal Astronomical Society. 452(3). 2247–2257. 48 indexed citations

20.

Daalen, Marcel P. van, Joop Schaye, Ian G. McCarthy, C. M. Booth, & Claudio Dalla Vecchia. (2014). The impact of baryonic processes on the two-point correlation functions of galaxies, subhaloes and matter. Monthly Notices of the Royal Astronomical Society. 440(4). 2997–3010. 72 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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