Raphaël Errani

879 total citations
18 papers, 607 citations indexed

About

Raphaël Errani is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Raphaël Errani has authored 18 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 9 papers in Instrumentation and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Raphaël Errani's work include Galaxies: Formation, Evolution, Phenomena (14 papers), Stellar, planetary, and galactic studies (11 papers) and Astronomy and Astrophysical Research (9 papers). Raphaël Errani is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (14 papers), Stellar, planetary, and galactic studies (11 papers) and Astronomy and Astrophysical Research (9 papers). Raphaël Errani collaborates with scholars based in United Kingdom, France and United States. Raphaël Errani's co-authors include Jorge Peñarrubia, Julio F. Navarro, Matthew G. Walker, Manoj Kaplinghat, Yicheng Guo, Michael C. Cooper, Timothy Carleton, Rodrigo Ibata, G. Tormen and Facundo A. Gómez and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Monthly Notices of the Royal Astronomical Society Letters.

In The Last Decade

Raphaël Errani

17 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphaël Errani United Kingdom 13 562 261 169 24 18 18 607
Graeme Candlish Chile 12 513 0.9× 239 0.9× 66 0.4× 15 0.6× 18 1.0× 24 529
A. Khalatyan Germany 11 683 1.2× 343 1.3× 105 0.6× 31 1.3× 16 0.9× 14 706
Yan Qu China 5 721 1.3× 439 1.7× 97 0.6× 22 0.9× 27 1.5× 8 742
Lizhi Xie Italy 16 635 1.1× 372 1.4× 88 0.5× 33 1.4× 24 1.3× 43 653
Andrew S Graus United States 14 810 1.4× 317 1.2× 334 2.0× 37 1.5× 12 0.7× 16 867
Colin T. Slater United States 13 678 1.2× 325 1.2× 40 0.2× 27 1.1× 12 0.7× 25 699
Fabrício Ferrari Brazil 12 505 0.9× 198 0.8× 92 0.5× 12 0.5× 15 0.8× 32 542
Sheridan B Green United States 9 295 0.5× 119 0.5× 108 0.6× 22 0.9× 18 1.0× 12 341
Chunyan Jiang China 9 490 0.9× 267 1.0× 95 0.6× 33 1.4× 13 0.7× 21 516
Martina Donnari United States 9 712 1.3× 374 1.4× 78 0.5× 10 0.4× 21 1.2× 10 727

Countries citing papers authored by Raphaël Errani

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Errani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaël Errani

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

All Works

18 of 18 papers shown
1.
Errani, Raphaël, Jorge Peñarrubia, & Matthew G. Walker. (2025). Stellar Mass Segregation in Dark Matter Halos. The Astrophysical Journal. 993(2). 160–160.
2.
Errani, Raphaël, et al.. (2025). Impulsive Mixing of Stellar Populations in Dwarf Spheroidal Galaxies. The Astrophysical Journal. 992(2). 162–162. 2 indexed citations
3.
Cerny, W., Christian R. Hayes, Federico Sestito, et al.. (2024). The Discovery of the Faintest Known Milky Way Satellite Using UNIONS. The Astrophysical Journal. 961(1). 92–92. 25 indexed citations
4.
Ibata, Rodrigo, Khyati Malhan, Anke Arentsen, et al.. (2024). Charting the Galactic Acceleration Field. II. A Global Mass Model of the Milky Way from the STREAMFINDER Atlas of Stellar Streams Detected in Gaia DR3. The Astrophysical Journal. 967(2). 89–89. 32 indexed citations
5.
Errani, Raphaël, et al.. (2024). Collisionless Relaxation from Near-equilibrium Configurations: Linear Theory and Application to Tidal Stripping. The Astrophysical Journal. 971(1). 91–91. 3 indexed citations
6.
Peñarrubia, Jorge, Raphaël Errani, Matthew G. Walker, Mark Gieles, & Tjarda Boekholt. (2024). Capture of field stars by dark substructures. Monthly Notices of the Royal Astronomical Society. 533(3). 3263–3282. 3 indexed citations
7.
Errani, Raphaël, et al.. (2024). Ursa Major III/UNIONS 1: The Darkest Galaxy Ever Discovered?. The Astrophysical Journal. 965(1). 20–20. 16 indexed citations
8.
Errani, Raphaël, Rodrigo Ibata, Julio F. Navarro, Jorge Peñarrubia, & Matthew G. Walker. (2024). Microgalaxies in LCDM. The Astrophysical Journal. 968(2). 89–89. 9 indexed citations
9.
Errani, Raphaël, Julio F. Navarro, Rodrigo Ibata, et al.. (2022). The Pristine survey – XVIII. C-19: tidal debris of a dark matter-dominated globular cluster?. Monthly Notices of the Royal Astronomical Society. 514(3). 3532–3540. 13 indexed citations
10.
Ibata, Rodrigo, et al.. (2022). Revisiting a disky origin for the faint branch of the Sagittarius stellar stream. arXiv (Cornell University). 13 indexed citations
11.
Errani, Raphaël, Julio F. Navarro, Rodrigo Ibata, & Jorge Peñarrubia. (2022). Structure and kinematics of tidally limited satellite galaxies in LCDM. Monthly Notices of the Royal Astronomical Society. 511(4). 6001–6018. 32 indexed citations
12.
Errani, Raphaël, Julio F. Navarro, Jorge Peñarrubia, Benoît Famaey, & Rodrigo Ibata. (2022). Dark matter halo cores and the tidal survival of Milky Way satellites. Monthly Notices of the Royal Astronomical Society. 519(1). 384–396. 25 indexed citations
13.
Errani, Raphaël & Julio F. Navarro. (2021). The asymptotic tidal remnants of cold dark matter subhaloes. Monthly Notices of the Royal Astronomical Society. 505(1). 18–32. 64 indexed citations
14.
Carleton, Timothy, Raphaël Errani, Michael C. Cooper, et al.. (2019). The formation of ultra-diffuse galaxies in cored dark matter haloes through tidal stripping and heating. Monthly Notices of the Royal Astronomical Society. 485(1). 382–395. 117 indexed citations
15.
Errani, Raphaël & Jorge Peñarrubia. (2019). Can tides disrupt cold dark matter subhaloes?. Monthly Notices of the Royal Astronomical Society. 491(4). 4591–4601. 71 indexed citations
16.
Errani, Raphaël, Jorge Peñarrubia, & Matthew G. Walker. (2018). Systematics in virial mass estimators for pressure-supported systems. Monthly Notices of the Royal Astronomical Society. 481(4). 5073–5090. 83 indexed citations
17.
Errani, Raphaël, Jorge Peñarrubia, Chervin F. P. Laporte, & Facundo A. Gómez. (2016). The effect of a disc on the population of cuspy and cored dark matter substructures in Milky Way-like galaxies. Monthly Notices of the Royal Astronomical Society Letters. 51 indexed citations
18.
Errani, Raphaël, Jorge Peñarrubia, & G. Tormen. (2015). Constraining the distribution of dark matter in dwarf spheroidal galaxies with stellar tidal streams. Monthly Notices of the Royal Astronomical Society Letters. 449(1). L46–L50. 48 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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