R. Stompor

42.0k total citations
33 papers, 394 citations indexed

About

R. Stompor is a scholar working on Astronomy and Astrophysics, Oceanography and Nuclear and High Energy Physics. According to data from OpenAlex, R. Stompor has authored 33 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Astronomy and Astrophysics, 7 papers in Oceanography and 7 papers in Nuclear and High Energy Physics. Recurrent topics in R. Stompor's work include Cosmology and Gravitation Theories (22 papers), Radio Astronomy Observations and Technology (15 papers) and Galaxies: Formation, Evolution, Phenomena (8 papers). R. Stompor is often cited by papers focused on Cosmology and Gravitation Theories (22 papers), Radio Astronomy Observations and Technology (15 papers) and Galaxies: Formation, Evolution, Phenomena (8 papers). R. Stompor collaborates with scholars based in France, United Kingdom and United States. R. Stompor's co-authors include Josquin Errard, M. Tristram, J. Grain, C. Baccigalupi, S. Leach, F. Stivoli, D. Poletti, D. Beck, B. Rabii and C. D. Winant and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

R. Stompor

29 papers receiving 377 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. Stompor France 12 341 125 69 17 17 33 394
Jeffrey B. Jewell United States 7 293 0.9× 105 0.8× 32 0.5× 14 0.8× 19 1.1× 15 326
M. Le Jeune France 6 263 0.8× 87 0.7× 42 0.6× 27 1.6× 22 1.3× 8 329
Jeffrey Jewell United States 8 249 0.7× 76 0.6× 34 0.5× 9 0.5× 14 0.8× 13 326
M. Remazeilles United Kingdom 15 623 1.8× 308 2.5× 45 0.7× 11 0.6× 15 0.9× 43 661
F. Argüeso Spain 12 365 1.1× 164 1.3× 40 0.6× 47 2.8× 10 0.6× 29 432
Melis O Irfan United Kingdom 9 242 0.7× 104 0.8× 13 0.2× 17 1.0× 20 1.2× 16 305
Moritz Münchmeyer United States 11 355 1.0× 192 1.5× 25 0.4× 5 0.3× 8 0.5× 19 384
Duncan Hanson United States 12 684 2.0× 305 2.4× 88 1.3× 8 0.5× 7 0.4× 13 706
Amir Hajian United States 12 416 1.2× 175 1.4× 40 0.6× 27 1.6× 14 0.8× 29 478
D. A. Mitchell Australia 10 382 1.1× 250 2.0× 11 0.2× 21 1.2× 13 0.8× 29 438

Countries citing papers authored by R. Stompor

Since Specialization
Citations

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

Fields of papers citing papers by R. Stompor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of R. Stompor. A scholar is included among the top collaborators of R. Stompor 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. Stompor. R. Stompor 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.
Leloup, C., et al.. (2024). Pixel domain implementation of the minimally informed CMB map foreground cleaning method. Physical review. D. 110(10). 3 indexed citations
2.
Leloup, C., Josquin Errard, & R. Stompor. (2023). Nonparametric maximum likelihood component separation for CMB polarization data. Physical review. D. 108(12). 4 indexed citations
3.
Ducrocq, Grégory, Nicolás Chopin, Josquin Errard, & R. Stompor. (2022). Improved Gibbs samplers for cosmic microwave background power spectrum estimation. Physical review. D. 105(10). 2 indexed citations
4.
Vergès, C., Josquin Errard, & R. Stompor. (2021). Framework for analysis of next generation, polarized CMB data sets in the presence of Galactic foregrounds and systematic effects. Physical review. D. 103(6). 10 indexed citations
5.
Szydlarski, Mikołaj, et al.. (2013). Parallel spherical harmonic transforms on heterogeneous architectures (graphics processing units/multi‐core CPUs). Concurrency and Computation Practice and Experience. 26(3). 683–711. 1 indexed citations
6.
Fabbian, Giulio & R. Stompor. (2013). High-precision simulations of the weak lensing effect on cosmic microwave background polarization. Astronomy and Astrophysics. 556. A109–A109. 12 indexed citations
7.
Ferté, A., J. Grain, M. Tristram, & R. Stompor. (2013). Efficiency of pseudospectrum methods for estimation of the cosmic microwave backgroundB-mode power spectrum. Physical review. D. Particles, fields, gravitation, and cosmology. 88(2). 18 indexed citations
8.
Fabbian, Giulio, Mikołaj Szydlarski, R. Stompor, Laura Grigori, & Joël Falcou. (2012). Spherical Harmonic Transforms with S 2 HAT (Scalable Spherical Harmonic Transform) Library. ASPC. 461. 61. 1 indexed citations
9.
Cantalupo, C. M., et al.. (2011). MADmap: Fast Parallel Maximum Likelihood CMB Map Making Code. Astrophysics Source Code Library.
10.
Szydlarski, Mikołaj, et al.. (2011). Spherical harmonic transform on heterogeneous architectures using hybrid programming. arXiv (Cornell University).
11.
Stompor, R.. (2011). S2HAT: Scalable Spherical Harmonic Transform Library. ascl. 1 indexed citations
12.
Tristram, M., C. Filliard, O. Perdereau, et al.. (2011). Iterative destriping and photometric calibration forPlanck-HFI, polarized, multi-detector map-making. Astronomy and Astrophysics. 534. A88–A88. 9 indexed citations
13.
Errard, Josquin, F. Stivoli, & R. Stompor. (2011). Publisher’s Note: Framework for performance forecasting and optimization of CMBB-mode observations in the presence of astrophysical foregrounds [Phys. Rev. D84, 063005 (2011)]. Physical review. D. Particles, fields, gravitation, and cosmology. 84(6). 5 indexed citations
14.
Stivoli, F., J. Grain, S. Leach, et al.. (2010). Maximum likelihood, parametric component separation and CMB B-mode detection in suborbital experiments. Monthly Notices of the Royal Astronomical Society. 408(4). 2319–2335. 23 indexed citations
15.
Grain, J., M. Tristram, & R. Stompor. (2009). Polarized CMB spectrum estimation using the pure pseudo cross-spectrum approach. arXiv (Cornell University). 3 indexed citations
16.
Grain, J., M. Tristram, & R. Stompor. (2009). Polarized CMB power spectrum estimation using the pure pseudo-cross-spectrum approach. Physical review. D. Particles, fields, gravitation, and cosmology. 79(12). 56 indexed citations
17.
Borrill, J., Pedro G. Ferreira, Shaul Hanany, et al.. (2004). Correlations between theWilkinson Microwave Anisotropy Probeand MAXIMA Cosmic Microwave Background Anisotropy Maps. The Astrophysical Journal. 605(2). 607–613. 1 indexed citations
18.
Stompor, R., Shaul Hanany, J. Borrill, et al.. (2003). The MAXIMA experiment: latest results and consistency tests. Comptes Rendus Physique. 4(8). 841–852.
19.
Santos, Mário G., A. Balbi, J. Borrill, et al.. (2002). Estimate of the Cosmological Bispectrum from the MAXIMA-1 Cosmic Microwave Background Map. Physical Review Letters. 88(24). 241302–241302. 43 indexed citations
20.
Santos, Mário G., A. Balbi, J. Borrill, et al.. (2001). An estimate of the Cosmological Bispectrum from the MAXIMA-1 CMB map. arXiv (Cornell University). 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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