Andrew Pontzen

19.6k total citations · 2 hit papers
101 papers, 4.1k citations indexed

About

Andrew Pontzen is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Andrew Pontzen has authored 101 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Astronomy and Astrophysics, 42 papers in Instrumentation and 22 papers in Nuclear and High Energy Physics. Recurrent topics in Andrew Pontzen's work include Galaxies: Formation, Evolution, Phenomena (83 papers), Astronomy and Astrophysical Research (42 papers) and Cosmology and Gravitation Theories (32 papers). Andrew Pontzen is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (83 papers), Astronomy and Astrophysical Research (42 papers) and Cosmology and Gravitation Theories (32 papers). Andrew Pontzen collaborates with scholars based in United Kingdom, Sweden and United States. Andrew Pontzen's co-authors include Fabio Governato, Hiranya V. Peiris, Justin I. Read, Thomas Quinn, Romain Teyssier, Michael Tremmel, Yohan Dubois, James Wadsley, Marta Volonteri and Martin P. Rey and has published in prestigious journals such as Nature, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

Andrew Pontzen

98 papers receiving 3.9k citations

Hit Papers

Cusp-core transformations in dwarf galaxies: observationa... 2013 2026 2017 2021 2013 2017 100 200 300

Peers

Andrew Pontzen
Rupert A. C. Croft United States
Adrianne Slyz United Kingdom
Joel R. Brownstein United States
Arif Babul Canada
Simeon Bird United States
Shea Garrison-Kimmel United States
Aaron D. Ludlow United Kingdom
Nikhil Padmanabhan United States
Rupert A. C. Croft United States
Andrew Pontzen
Citations per year, relative to Andrew Pontzen Andrew Pontzen (= 1×) peers Rupert A. C. Croft

Countries citing papers authored by Andrew Pontzen

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Pontzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Pontzen

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Pontzen. A scholar is included among the top collaborators of Andrew Pontzen 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 Andrew Pontzen. Andrew Pontzen 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.
Jenkins, A. C., Hiranya V. Peiris, & Andrew Pontzen. (2025). Bubbles in a box: Eliminating edge nucleation in cold-atom simulators of vacuum decay. Physical review. A. 112(2).
2.
Joshi, Gandhali D, Andrew Pontzen, Oscar Agertz, et al.. (2025). The PARADIGM project – I. How early merger histories shape the present-day sizes of Milky-Way-mass galaxies. Monthly Notices of the Royal Astronomical Society. 537(4). 3792–3813.
3.
Peiris, Hiranya V., Andrew Pontzen, Joop Schaye, et al.. (2025). Cosmological feedback from a halo assembly perspective. Physical review. D. 112(6). 4 indexed citations
4.
Read, Justin I., Matthew D A Orkney, Stacy Y. Kim, et al.. (2025). The emergence of globular clusters and globular-cluster-like dwarfs. Nature. 645(8080). 327–331.
5.
Rey, Martin P., Stacy Y. Kim, Eric P. Andersson, et al.. (2025). edge: the emergence of dwarf galaxy scaling relations from cosmological radiation-hydrodynamics simulations. Monthly Notices of the Royal Astronomical Society. 541(2). 1195–1217. 7 indexed citations
6.
Peiris, Hiranya V., et al.. (2024). Explaining Dark Matter Halo Density Profiles with Neural Networks. Physical Review Letters. 132(3). 31001–31001. 8 indexed citations
7.
Jenkins, A. C., Ian G. Moss, T. P. Billam, et al.. (2024). Generalized cold-atom simulators for vacuum decay. Physical review. A. 110(3). 5 indexed citations
8.
Peiris, Hiranya V., et al.. (2024). Deep learning insights into cosmological structure formation. Physical review. D. 109(6). 5 indexed citations
9.
Sanders, Jason L., et al.. (2024). Action and energy clustering of stellar streams in deforming Milky Way dark matter haloes. Monthly Notices of the Royal Astronomical Society. 532(2). 2657–2673. 9 indexed citations
10.
Cadiou, Corentin, et al.. (2024). Hot gas accretion fuels star formation faster than cold accretion in high-redshift galaxies. Monthly Notices of the Royal Astronomical Society. 534(1). 918–929. 1 indexed citations
11.
Pontzen, Andrew, et al.. (2024). edge: dark matter core creation depends on the timing of star formation. Monthly Notices of the Royal Astronomical Society. 536(1). 314–323. 8 indexed citations
12.
Pontzen, Andrew, et al.. (2023). From particles to orbits: precise dark matter density profiles using dynamical information. Monthly Notices of the Royal Astronomical Society. 527(3). 9250–9262. 2 indexed citations
13.
Rey, Martin P., Eric P. Andersson, Oscar Agertz, et al.. (2022). EDGE: The sensitivity of ultra-faint dwarfs to a metallicity-dependent initial mass function. Monthly Notices of the Royal Astronomical Society. 513(2). 2326–2334. 18 indexed citations
14.
Orkney, Matthew D A, Justin I. Read, Oscar Agertz, et al.. (2022). EDGE: the puzzling ellipticity of Eridanus II’s star cluster and its implications for dark matter at the heart of an ultra-faint dwarf. Monthly Notices of the Royal Astronomical Society. 515(1). 185–200. 10 indexed citations
15.
Peiris, Hiranya V., et al.. (2022). Discovering the building blocks of dark matter halo density profiles with neural networks. ePubs (Science and Technology Facilities Council, Research Councils UK). 14 indexed citations
16.
Rey, Martin P., Andrew Pontzen, Oscar Agertz, et al.. (2022). EDGE: What shapes the relationship between H i and stellar observables in faint dwarf galaxies?. Monthly Notices of the Royal Astronomical Society. 511(4). 5672–5681. 22 indexed citations
17.
Orkney, Matthew D A, Justin I. Read, Martin P. Rey, et al.. (2021). EDGE: two routes to dark matter core formation in ultra-faint dwarfs. Monthly Notices of the Royal Astronomical Society. 504(3). 3509–3522. 43 indexed citations
18.
Rey, Martin P., Andrew Pontzen, Oscar Agertz, et al.. (2020). EDGE: from quiescent to gas-rich to star-forming low-mass dwarf galaxies. Monthly Notices of the Royal Astronomical Society. 497(2). 1508–1520. 53 indexed citations
19.
Rey, Martin P., Andrew Pontzen, Oscar Agertz, et al.. (2019). EDGE: The Origin of Scatter in Ultra-faint Dwarf Stellar Masses and Surface Brightnesses. The Astrophysical Journal Letters. 886(1). L3–L3. 51 indexed citations
20.
Pontzen, Andrew, Rok Roškar, G. S. Stinson, & Rory M. Woods. (2013). pynbody: N-Body/SPH analysis for python. Astrophysics Source Code Library. 84 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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