É. Pointecouteau

44.8k total citations · 2 hit papers
79 papers, 2.9k citations indexed

About

É. Pointecouteau is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, É. Pointecouteau has authored 79 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Astronomy and Astrophysics, 29 papers in Nuclear and High Energy Physics and 20 papers in Instrumentation. Recurrent topics in É. Pointecouteau's work include Galaxies: Formation, Evolution, Phenomena (65 papers), Astrophysical Phenomena and Observations (23 papers) and Astronomy and Astrophysical Research (20 papers). É. Pointecouteau is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (65 papers), Astrophysical Phenomena and Observations (23 papers) and Astronomy and Astrophysical Research (20 papers). É. Pointecouteau collaborates with scholars based in France, Italy and United States. É. Pointecouteau's co-authors include M. Arnaud, G. W. Pratt, R. Piffaretti, J. H. Croston, S. Ettori, D. Eckert, Joseph Silk, M. Roncarelli, S. Molendi and G. W. Pratt and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

É. Pointecouteau

72 papers receiving 2.8k citations

Hit Papers

The universal galaxy cluster pressure profile from a repr... 2010 2026 2015 2020 2010 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
É. Pointecouteau France 25 2.8k 962 783 105 63 79 2.9k
Britton Smith United States 25 3.1k 1.1× 808 0.8× 867 1.1× 98 0.9× 104 1.7× 56 3.2k
José Oñorbe United States 20 3.3k 1.2× 1.4k 1.5× 1.1k 1.4× 156 1.5× 125 2.0× 42 3.5k
Adi Nusser Israel 28 2.3k 0.8× 894 0.9× 599 0.8× 222 2.1× 63 1.0× 97 2.4k
T. Miyaji United States 26 3.4k 1.2× 1.2k 1.2× 993 1.3× 53 0.5× 68 1.1× 92 3.5k
C. De Breuck Germany 41 4.7k 1.7× 1.4k 1.5× 1.6k 2.0× 134 1.3× 56 0.9× 166 4.7k
M. A. Zwaan Germany 29 2.7k 1.0× 688 0.7× 887 1.1× 65 0.6× 85 1.3× 110 2.8k
Cameron Hummels United States 22 2.2k 0.8× 609 0.6× 635 0.8× 63 0.6× 48 0.8× 43 2.3k
G. W. Pratt France 22 2.9k 1.0× 891 0.9× 996 1.3× 117 1.1× 50 0.8× 54 3.0k
D. T. Frayer United States 31 3.7k 1.3× 555 0.6× 1.6k 2.0× 62 0.6× 75 1.2× 89 3.8k
C. Giocoli Italy 29 2.2k 0.8× 702 0.7× 948 1.2× 132 1.3× 138 2.2× 77 2.3k

Countries citing papers authored by É. Pointecouteau

Since Specialization
Citations

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

Fields of papers citing papers by É. Pointecouteau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of É. Pointecouteau

This figure shows the co-authorship network connecting the top 25 collaborators of É. Pointecouteau. A scholar is included among the top collaborators of É. Pointecouteau 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 É. Pointecouteau. É. Pointecouteau 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.
Ilić, S., M. Tristram, M. Douspis, et al.. (2025). Reconstructing the epoch of reionisation with Planck PR4. Astronomy and Astrophysics. 700. A26–A26. 2 indexed citations
2.
Clerc, N., et al.. (2025). Toward mapping turbulence in the intracluster medium. Astronomy and Astrophysics. 702. A215–A215.
3.
Adam, R., I. Bartalucci, N. Clerc, et al.. (2025). PITSZI: Probing intra-cluster medium turbulence with Sunyaev–Zel’dovich imaging. Astronomy and Astrophysics. 694. A182–A182.
4.
Sayers, Jack, J.-B. Mélin, Erwin T. Lau, et al.. (2025). CHEX-MATE: The impact of triaxiality and orientation on Planck SZ cluster selection and weak lensing mass measurements. Astronomy and Astrophysics. 700. A128–A128.
5.
Clerc, N., É. Pointecouteau, D. Eckert, et al.. (2024). CHEX-MATE: Turbulence in the intra-cluster medium from X-ray surface brightness fluctuations. Astronomy and Astrophysics. 687. A58–A58. 9 indexed citations
6.
Arnaud, M., et al.. (2024). Evolution of X-ray galaxy cluster properties in a representative sample (EXCPReS). Astronomy and Astrophysics. 688. A219–A219. 1 indexed citations
7.
Clerc, N., et al.. (2023). Investigating the turbulent hot gas in X-COP galaxy clusters. Astronomy and Astrophysics. 673. A91–A91. 12 indexed citations
8.
Clerc, N., et al.. (2023). Observing gravitational redshift with X-ray emission in galaxy clusters with Athena X-IFU. Astronomy and Astrophysics. 679. A24–A24. 2 indexed citations
9.
Clerc, N., et al.. (2023). A case study of an early galaxy cluster with the Athena X-IFU. Astronomy and Astrophysics. 682. A23–A23. 1 indexed citations
10.
Pratt, G. W., É. Pointecouteau, I. Bartalucci, et al.. (2023). The hydrostatic-to-lensing mass bias from resolved X-ray and optical-IR data. Astronomy and Astrophysics. 682. A147–A147. 2 indexed citations
11.
Polletta, M., G. Soucail, H. Dole, et al.. (2021). Spectroscopic observations of PHz G237.01+42.50: A galaxy protocluster at z = 2.16 in the Cosmos field. Astronomy and Astrophysics. 654. A121–A121. 29 indexed citations
12.
Pratt, G. W., É. Pointecouteau, M. Arnaud, & R. F. J. van der Burg. (2016). The hot gas content of fossil galaxy clusters. Springer Link (Chiba Institute of Technology). 6 indexed citations
13.
Flores-Cacho, I., D. Pierini, G. Soucail, et al.. (2015). Multi-wavelength characterisation ofz~ 2 clustered, dusty star-forming galaxies discovered byPlanck. Astronomy and Astrophysics. 585. A54–A54. 15 indexed citations
14.
Soucail, G., et al.. (2012). The dark matter distribution inz  ~  0.5 clusters of galaxies. Astronomy and Astrophysics. 546. A106–A106. 22 indexed citations
15.
Arnaud, M., et al.. (2010). The universal galaxy cluster pressure profile from a representative sample of nearby systems (REXCESS) and theYSZM500relation. Astronomy and Astrophysics. 517. A92–A92. 491 indexed citations breakdown →
16.
Giard, M., et al.. (2008). The infrared luminosity of galaxy clusters. Springer Link (Chiba Institute of Technology). 16 indexed citations
17.
Jia, S. M., et al.. (2008). XMM-Newton studies of a massive cluster of galaxies: RXC J2228.6+2036. Astronomy and Astrophysics. 489(1). 1–9. 10 indexed citations
18.
Arnaud, M., É. Pointecouteau, & G. W. Pratt. (2007). Calibration of the galaxy cluster M500Y$_{\sf X}$ relation with XMM-Newton. Astronomy and Astrophysics. 474(3). L37–L40. 112 indexed citations
19.
Croston, J. H., M. Arnaud, É. Pointecouteau, & G. W. Pratt. (2006). An improved deprojection and PSF-deconvolution technique for galaxy-cluster X-ray surface-brightness profiles. Springer Link (Chiba Institute of Technology). 21 indexed citations
20.
Dupac, X., M. Giard, J.-P. Bernard, et al.. (2002). Submillimeter dust emission of the M 17 complex measured with PRONAOS. Springer Link (Chiba Institute of Technology). 18 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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