R. Pain

42.6k total citations
26 papers, 1.1k citations indexed

About

R. Pain is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, R. Pain has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Astronomy and Astrophysics, 8 papers in Nuclear and High Energy Physics and 7 papers in Instrumentation. Recurrent topics in R. Pain's work include Gamma-ray bursts and supernovae (24 papers), Stellar, planetary, and galactic studies (13 papers) and Astronomy and Astrophysical Research (7 papers). R. Pain is often cited by papers focused on Gamma-ray bursts and supernovae (24 papers), Stellar, planetary, and galactic studies (13 papers) and Astronomy and Astrophysical Research (7 papers). R. Pain collaborates with scholars based in France, United States and United Kingdom. R. Pain's co-authors include P. Astier, N. Regnault, D. A. Howell, M. Sullivan, D. Fouchez, K. Perrett, J. Guy, R. G. Carlberg, I. Hook and S. Basa and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

R. Pain

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Pain France 16 1.1k 364 147 35 30 26 1.1k
A. Carramiñana Mexico 11 604 0.6× 312 0.9× 106 0.7× 16 0.5× 24 0.8× 54 658
A. Lamberts United States 18 780 0.7× 247 0.7× 127 0.9× 47 1.3× 54 1.8× 35 859
M. Hicken United States 13 1.2k 1.2× 497 1.4× 136 0.9× 31 0.9× 35 1.2× 14 1.3k
Marshall Joy United States 17 837 0.8× 242 0.7× 141 1.0× 11 0.3× 38 1.3× 43 886
O. Wucknitz Germany 18 710 0.7× 233 0.6× 96 0.7× 25 0.7× 86 2.9× 45 746
C. McCully United States 20 1.3k 1.3× 424 1.2× 153 1.0× 15 0.4× 56 1.9× 82 1.4k
R. W. Porcas Germany 20 931 0.9× 446 1.2× 133 0.9× 28 0.8× 54 1.8× 79 960
M. Krause Germany 24 1.7k 1.6× 1.0k 2.8× 105 0.7× 19 0.5× 23 0.8× 81 1.8k
E. B. Fomalont United States 17 739 0.7× 365 1.0× 101 0.7× 23 0.7× 26 0.9× 50 766
E. M. Berkhuijsen Germany 19 1.1k 1.1× 569 1.6× 56 0.4× 20 0.6× 23 0.8× 63 1.2k

Countries citing papers authored by R. Pain

Since Specialization
Citations

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

Fields of papers citing papers by R. Pain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Pain

This figure shows the co-authorship network connecting the top 25 collaborators of R. Pain. A scholar is included among the top collaborators of R. Pain 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 R. Pain. R. Pain 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.
Regnault, N., K. Schahmanèche, L. Le Guillou, et al.. (2015). The DICE calibration project Design, characterization, and first results. Astronomy and Astrophysics. 581. A45–A45. 9 indexed citations
2.
Astier, P. & R. Pain. (2012). Observational evidence of the accelerated expansion of the universe. Comptes Rendus Physique. 13(6-7). 521–538. 49 indexed citations
3.
Betoule, M., J. Marriner, N. Regnault, et al.. (2012). Improved photometric calibration of the SNLS and the SDSS supernova surveys. Astronomy and Astrophysics. 552. A124–A124. 55 indexed citations
4.
Astier, P., J. Guy, R. Pain, & C. Balland. (2010). Dark energy constraints from a space-based supernova survey. Springer Link (Chiba Institute of Technology). 9 indexed citations
5.
Palanque‐Delabrouille, N., V. Ruhlmann-Kleider, J. Rich, et al.. (2010). Photometric redshifts for type Ia supernovae in the supernova legacy survey. Astronomy and Astrophysics. 514. A63–A63. 18 indexed citations
6.
Regnault, N., A. Conley, J. Guy, et al.. (2009). Photometric calibration of the Supernova Legacy Survey fields. Astronomy and Astrophysics. 506(2). 999–1042. 51 indexed citations
7.
Kilbinger, M., K. Benabed, J. Guy, et al.. (2009). Dark-energy constraints and correlations with systematics from CFHTLS weak lensing, SNLS supernovae Ia and WMAP5. Astronomy and Astrophysics. 497(3). 677–688. 1 indexed citations
8.
Baumont, S., C. Balland, P. Astier, et al.. (2008). PHotometry Assisted Spectral Extraction (PHASE) and identification of SNLS supernovae. Springer Link (Chiba Institute of Technology). 5 indexed citations
9.
Amanullah, R., V. Stanishev, A. Goobar, et al.. (2008). Light curves of five type Ia supernovae at intermediate redshift. Astronomy and Astrophysics. 486(2). 375–382. 15 indexed citations
10.
Ellis, Richard S., M. Sullivan, P. Nugent, et al.. (2008). Verifying the Cosmological Utility of Type Ia Supernovae: Implications of a Dispersion in the Ultraviolet Spectra. The Astrophysical Journal. 674(1). 51–69. 53 indexed citations
11.
Conley, A., M. Sullivan, E. Y. Hsiao, et al.. (2008). SiFTO: An Empirical Method for Fitting SN Ia Light Curves. The Astrophysical Journal. 681(1). 482–498. 99 indexed citations
12.
Bronder, T. J., I. Hook, D. A. Howell, et al.. (2007). Quantitative Spectroscopy of Distant Type Ia Supernovae. AIP conference proceedings. 415–420. 1 indexed citations
13.
Howell, D. A., M. Sullivan, P. Nugent, et al.. (2006). The type Ia supernova SNLS-03D3bb from a super-Chandrasekhar-mass white dwarf star. Nature. 443(7109). 308–311. 264 indexed citations
14.
Nugent, P., M. Sullivan, Richard S. Ellis, et al.. (2006). Toward a Cosmological Hubble Diagram for Type II‐P Supernovae. The Astrophysical Journal. 645(2). 841–850. 51 indexed citations
15.
Balland, C., M. Mouchet, R. Amanullah, et al.. (2006). Spectroscopic observations of eight supernovae at intermediate redshift. Astronomy and Astrophysics. 464(3). 827–836. 3 indexed citations
16.
Balland, C., M. Mouchet, R. Pain, et al.. (2005). Spectroscopy of twelve type\n Ia supernovae at intermediate redshift. Springer Link (Chiba Institute of Technology). 4 indexed citations
17.
Guy, J., P. Astier, S. Nobili, N. Regnault, & R. Pain. (2005). SALT: a spectral adaptive light curve template for type Ia supernovae. Astronomy and Astrophysics. 443(3). 781–791. 138 indexed citations
18.
Guy, J., P. Astier, S. Nobili, N. Regnault, & R. Pain. (2005). SALT: a Spectral Adaptive Light curve Template for Type Ia Supernovae. Springer Link (Chiba Institute of Technology). 368–373. 2 indexed citations
19.
Aldering, G., P. Antilogus, C. Bonnaud, et al.. (2004). SNIFS: a wideband integral field spectrograph with microlens arrays. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5249. 146–146. 61 indexed citations
20.
Goliath, Martin, R. Amanullah, P. Astier, A. Goobar, & R. Pain. (2001). Supernovae and the nature of the dark energy. Springer Link (Chiba Institute of Technology). 73 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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