David Harvey

2.3k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

David Harvey is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, David Harvey has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Astronomy and Astrophysics, 13 papers in Nuclear and High Energy Physics and 11 papers in Instrumentation. Recurrent topics in David Harvey's work include Galaxies: Formation, Evolution, Phenomena (34 papers), Cosmology and Gravitation Theories (13 papers) and Dark Matter and Cosmic Phenomena (12 papers). David Harvey is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (34 papers), Cosmology and Gravitation Theories (13 papers) and Dark Matter and Cosmic Phenomena (12 papers). David Harvey collaborates with scholars based in United Kingdom, Switzerland and Netherlands. David Harvey's co-authors include R. Massey, T. Kitching, Eric Tittley, Andy Taylor, Andrew Robertson, Ian G. McCarthy, Mathilde Jauzac, Jean‐Paul Kneib, F. Courbin and D. Eckert and has published in prestigious journals such as Science, PLoS ONE and The Astrophysical Journal.

In The Last Decade

David Harvey

41 papers receiving 1.1k citations

Hit Papers

The nongravitational interactions of dark matter in colli... 2015 2026 2018 2022 2015 50 100 150 200 250
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.

  1. The nongravitational interactions of dark matter in colliding galaxy clusters
    2015 281 citations David Harvey, R. Massey et al. profile →

Peers

David Harvey
Jorge Moreno United States
K. D. Denney United States
Ricarda S. Beckmann France
J. Zuntz United Kingdom
Ran Wang China
P. Santini Italy
D. Potter Switzerland
Vardha N. Bennert United States
Melanie Simet United States
Alkistis Pourtsidou United Kingdom
Jorge Moreno United States
David Harvey
Citations per year, relative to David Harvey David Harvey (= 1×) peers Jorge Moreno

Countries citing papers authored by David Harvey

Since Specialization
Citations

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

Fields of papers citing papers by David Harvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Harvey

This figure shows the co-authorship network connecting the top 25 collaborators of David Harvey. A scholar is included among the top collaborators of David Harvey 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 David Harvey. David Harvey 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.
Harvey, David, et al.. (2025). DARKSKIES: A suite of super-sampled zoom-in simulations of galaxy clusters with self-interacting dark matter. Astronomy and Astrophysics. 703. A112–A112.
2.
Harvey, David. (2024). A deep-learning algorithm to disentangle self-interacting dark matter and AGN feedback models. Nature Astronomy. 8(10). 1332–1342. 2 indexed citations
3.
Harvey, David, R. Massey, Kyle A. Oman, et al.. (2024). Hydrodynamical simulations of merging galaxy clusters: giant dark matter particle colliders, powered by gravity. Monthly Notices of the Royal Astronomical Society. 530(3). 3160–3170. 4 indexed citations
4.
Harvey, David & R. Massey. (2024). Weak gravitational lensing measurements of Abell 2744 using JWST and shear measurement algorithm pyRRG-JWST. Monthly Notices of the Royal Astronomical Society. 529(2). 802–809. 4 indexed citations
5.
Niemiec, Anna, Mathilde Jauzac, D. Eckert, et al.. (2023). Beyond the ultradeep frontier fields and legacy observations (BUFFALO): a high-resolution strong+weak-lensing view of Abell 370. Monthly Notices of the Royal Astronomical Society. 524(2). 2883–2910. 7 indexed citations
6.
Eckert, D., S. Ettori, Andrew Robertson, et al.. (2022). Constraints on dark matter self-interaction from the internal density profiles of X-COP galaxy clusters. Astronomy and Astrophysics. 666. A41–A41. 41 indexed citations
7.
Nightingale, J.W, Richard Hayes, Aristeidis Amvrosiadis, et al.. (2021). PyAutoLens: Open-Source Strong Gravitational Lensing. The Journal of Open Source Software. 6(58). 2825–2825. 50 indexed citations
8.
Harvey, David, Nora Elisa Chisari, Andrew Robertson, & Ian G. McCarthy. (2021). The impact of self-interacting dark matter on the intrinsic alignments of galaxies. Monthly Notices of the Royal Astronomical Society. 506(1). 441–451. 9 indexed citations
9.
Harvey, David, Wessel Valkenburg, & Amara Amara. (2021). Predicting malaria epidemics in Burkina Faso with machine learning. PLoS ONE. 16(6). e0253302–e0253302. 14 indexed citations
10.
Harvey, David, et al.. (2021). Predicting Malaria Epidemics in Burkina Faso With Gaussian Processes. SSRN Electronic Journal.
11.
Harvey, David, Andrew Robertson, Mathilde Jauzac, et al.. (2020). Reconciling galaxy cluster shapes, measured by theorists versus observers. Monthly Notices of the Royal Astronomical Society. 500(2). 2627–2644. 13 indexed citations
12.
Jauzac, Mathilde, R. Massey, David Harvey, et al.. (2020). The distribution of dark matter and gas spanning 6 Mpc around the post-merger galaxy cluster MS 0451−03. Monthly Notices of the Royal Astronomical Society. 496(3). 4032–4050. 16 indexed citations
13.
Harvey, David, Andrew Robertson, R. Massey, & Ian G. McCarthy. (2019). Observable tests of self-interacting dark matter in galaxy clusters: BCG wobbles in a constant density core. Monthly Notices of the Royal Astronomical Society. 488(2). 1572–1579. 58 indexed citations
14.
Harvey, David, Wessel Valkenburg, Amélie Tamone, et al.. (2019). Exploiting flux ratio anomalies to probe warm dark matter in future large-scale surveys. Monthly Notices of the Royal Astronomical Society. 491(3). 4247–4253. 7 indexed citations
15.
Robertson, Andrew, David Harvey, R. Massey, et al.. (2019). Observable tests of self-interacting dark matter in galaxy clusters: cosmological simulations with SIDM and baryons. Monthly Notices of the Royal Astronomical Society. 488(3). 3646–3662. 92 indexed citations
16.
Kim, D.-C., Ilsang Yoon, George C. Privon, et al.. (2017). A Potential Recoiling Supermassive Black Hole, CXO J101527.2+625911. The Astrophysical Journal. 840(2). 71–71. 17 indexed citations
17.
Taylor, Peter L., R. Massey, Mathilde Jauzac, et al.. (2017). A test for skewed distributions of dark matter, and a possible detection in galaxy cluster Abell 3827. Monthly Notices of the Royal Astronomical Society. 468(4). 5004–5013. 16 indexed citations
18.
19.
Harvey, David, L Bradbury, Kari Laiho, et al.. (2008). Toll-like receptor 4 and CD14 polymorphisms in ankylosing spondylitis: evidence of a weak association in Finns.. PubMed. 35(8). 1609–12. 6 indexed citations
20.
Lu, Tien‐Fu, et al.. (2008). Obstacle avoidance using complex vector fields. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 4 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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