Moritz Münchmeyer

11.2k total citations
19 papers, 384 citations indexed

About

Moritz Münchmeyer is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Moritz Münchmeyer has authored 19 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 7 papers in Nuclear and High Energy Physics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Moritz Münchmeyer's work include Cosmology and Gravitation Theories (13 papers), Galaxies: Formation, Evolution, Phenomena (11 papers) and Radio Astronomy Observations and Technology (5 papers). Moritz Münchmeyer is often cited by papers focused on Cosmology and Gravitation Theories (13 papers), Galaxies: Formation, Evolution, Phenomena (11 papers) and Radio Astronomy Observations and Technology (5 papers). Moritz Münchmeyer collaborates with scholars based in United States, Canada and France. Moritz Münchmeyer's co-authors include P. Daniel Meerburg, Xingang Chen, Kendrick M. Smith, Matthew C. Johnson, Julián B. Muñoz, B. D. Wandelt, Mathew S. Madhavacheril, Simone Ferraro, Emanuela Dimastrogiovanni and James B. Mertens and has published in prestigious journals such as Physical Review Letters, Physical review. D and Journal of Cosmology and Astroparticle Physics.

In The Last Decade

Moritz Münchmeyer

19 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moritz Münchmeyer United States 11 355 192 25 20 17 19 384
Donough Regan United Kingdom 10 343 1.0× 137 0.7× 26 1.0× 23 1.1× 50 2.9× 20 361
Rubén Arjona Spain 11 305 0.9× 151 0.8× 28 1.1× 25 1.3× 22 1.3× 16 330
C. Baccigalupi Italy 8 306 0.9× 131 0.7× 16 0.6× 17 0.8× 50 2.9× 14 324
C. Armitage-Caplan Italy 4 454 1.3× 369 1.9× 30 1.2× 39 1.9× 17 1.0× 4 519
Cora Dvorkin United States 11 493 1.4× 329 1.7× 48 1.9× 20 1.0× 19 1.1× 14 520
Alexandre Amblard United States 12 468 1.3× 186 1.0× 27 1.1× 15 0.8× 47 2.8× 22 483
Joel Meyers United States 13 412 1.2× 281 1.5× 27 1.1× 13 0.7× 11 0.6× 35 455
Benjamin Audren Switzerland 3 584 1.6× 426 2.2× 23 0.9× 32 1.6× 34 2.0× 3 624
Víctor H. Cárdenas Chile 14 296 0.8× 190 1.0× 18 0.7× 26 1.3× 14 0.8× 32 328
Joseph Ryan United States 9 376 1.1× 169 0.9× 27 1.1× 11 0.6× 35 2.1× 16 401

Countries citing papers authored by Moritz Münchmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Münchmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moritz Münchmeyer

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

All Works

19 of 19 papers shown
1.
Chung, Daniel J. H., et al.. (2025). Theoretical physics benchmark (TPBench)—a dataset and study of AI reasoning capabilities in theoretical physics. Machine Learning Science and Technology. 6(3). 30505–30505. 1 indexed citations
2.
Münchmeyer, Moritz, et al.. (2025). Two-field formalism for a neural network-enhanced non-Gaussianity search with halos. Physical review. D. 112(2). 2 indexed citations
3.
Münchmeyer, Moritz, et al.. (2024). Superresolution emulation of large cosmological fields with a 3D conditional diffusion model. Physical review. D. 109(12). 2 indexed citations
4.
5.
Chung, Daniel J. H., et al.. (2023). Search for isocurvature with large-scale structure: A forecast for Euclid and MegaMapper using EFTofLSS. Physical review. D. 108(10). 9 indexed citations
6.
Ramírez‐Franco, Jorge, Michael Fauler, Johanna Duda, et al.. (2023). Deep learning-based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra. Communications Biology. 6(1). 1146–1146. 5 indexed citations
7.
Kim, Taegyun, Jeong Han Kim, Soubhik Kumar, et al.. (2023). Probing cosmological particle production and pairwise hotspots with deep neural networks. Physical review. D. 108(4). 5 indexed citations
8.
Giri, Utkarsh, Moritz Münchmeyer, & Kendrick M. Smith. (2023). Robust neural network-enhanced estimation of local primordial non-Gaussianity. Physical review. D. 107(6). 10 indexed citations
9.
Hotinli, Selim C., Joel Meyers, Neal Dalal, et al.. (2019). Transverse Velocities with the Moving Lens Effect. Physical Review Letters. 123(6). 61301–61301. 32 indexed citations
10.
Münchmeyer, Moritz & Kendrick M. Smith. (2019). Higher N-point function data analysis techniques for heavy particle production and WMAP results. Physical review. D. 100(12). 17 indexed citations
11.
Dimastrogiovanni, Emanuela, et al.. (2019). Primordial gravitational wave phenomenology with polarized Sunyaev Zel’dovich tomography. Physical review. D. 100(8). 10 indexed citations
12.
Münchmeyer, Moritz, Mathew S. Madhavacheril, Simone Ferraro, Matthew C. Johnson, & Kendrick M. Smith. (2019). Constraining local non-Gaussianities with kinetic Sunyaev-Zel’dovich tomography. Physical review. D. 100(8). 63 indexed citations
13.
Dimastrogiovanni, Emanuela, et al.. (2018). Reconstruction of the remote dipole and quadrupole fields from the kinetic Sunyaev Zel’dovich and polarized Sunyaev Zel’dovich effects. Physical review. D. 98(12). 44 indexed citations
14.
Meerburg, P. Daniel, Moritz Münchmeyer, Julián B. Muñoz, & Xingang Chen. (2017). Prospects for cosmological collider physics. Journal of Cosmology and Astroparticle Physics. 2017(3). 50–50. 79 indexed citations
15.
Meerburg, P. Daniel, Moritz Münchmeyer, & B. D. Wandelt. (2016). Joint resonant CMB power spectrum and bispectrum estimation. Physical review. D. 93(4). 18 indexed citations
16.
Chen, Xingang, P. Daniel Meerburg, & Moritz Münchmeyer. (2016). The future of primordial features with 21 cm tomography. Journal of Cosmology and Astroparticle Physics. 2016(9). 23–23. 45 indexed citations
17.
Meerburg, P. Daniel & Moritz Münchmeyer. (2015). Optimal CMB estimators for bispectra from excited states. Physical review. D. Particles, fields, gravitation, and cosmology. 92(6). 8 indexed citations
18.
Münchmeyer, Moritz, P. Daniel Meerburg, & B. D. Wandelt. (2015). Optimal estimator for resonance bispectra in the CMB. Physical review. D. Particles, fields, gravitation, and cosmology. 91(4). 16 indexed citations
19.
Münchmeyer, Moritz, F. R. Bouchet, Mark Jackson, & B. D. Wandelt. (2014). The Komatsu Spergel Wandelt estimator for oscillations in the cosmic microwave background bispectrum. Springer Link (Chiba Institute of Technology). 14 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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