J. Ballet

37.4k total citations
156 papers, 2.7k citations indexed

About

J. Ballet is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Parasitology. According to data from OpenAlex, J. Ballet has authored 156 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Astronomy and Astrophysics, 72 papers in Nuclear and High Energy Physics and 21 papers in Parasitology. Recurrent topics in J. Ballet's work include Gamma-ray bursts and supernovae (66 papers), Astrophysics and Cosmic Phenomena (64 papers) and Astrophysical Phenomena and Observations (54 papers). J. Ballet is often cited by papers focused on Gamma-ray bursts and supernovae (66 papers), Astrophysics and Cosmic Phenomena (64 papers) and Astrophysical Phenomena and Observations (54 papers). J. Ballet collaborates with scholars based in France, United States and Russia. J. Ballet's co-authors include A. Decourchelle, F. Acero, Loïc Favennec, Gilles Gargala, Y. A. Gallant, Donald C. Ellison, C Griscelli, Alain Fischer, E. Parizot and Alexandre Marcowith and has published in prestigious journals such as Nature, The Lancet and Journal of Clinical Investigation.

In The Last Decade

J. Ballet

144 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Ballet France 32 1.5k 1.2k 401 298 236 156 2.7k
Masayuki Umemura Japan 37 3.0k 2.0× 787 0.6× 48 0.1× 592 2.0× 1.6k 6.7× 184 5.5k
Matthew J. Dolan United States 48 1.0k 0.7× 2.2k 1.8× 1.1k 2.8× 2.0k 6.7× 2.1k 8.8× 143 7.7k
Anthony L. Piro United States 32 2.5k 1.7× 641 0.5× 217 0.5× 57 0.2× 271 1.1× 92 3.2k
Robert H. Rubin United States 28 687 0.5× 59 0.0× 117 0.3× 273 0.9× 186 0.8× 64 2.2k
D. A. Graham United Kingdom 34 280 0.2× 215 0.2× 95 0.2× 721 2.4× 1.1k 4.8× 176 3.7k
Andrew McWilliam United States 43 4.5k 3.1× 613 0.5× 21 0.1× 135 0.5× 1.6k 6.7× 126 7.4k
Kentaro Nagamine Japan 36 2.1k 1.4× 364 0.3× 200 0.5× 606 2.0× 1.0k 4.2× 132 7.6k
B. F. Burke United States 33 2.3k 1.5× 732 0.6× 14 0.0× 464 1.6× 479 2.0× 205 4.2k
Hiroshi Okamura Japan 23 237 0.2× 445 0.4× 15 0.0× 97 0.3× 551 2.3× 222 3.2k
S. E. Lysenko Russia 26 544 0.4× 988 0.8× 19 0.0× 335 1.1× 829 3.5× 115 3.6k

Countries citing papers authored by J. Ballet

Since Specialization
Citations

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

Fields of papers citing papers by J. Ballet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Ballet

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ballet. A scholar is included among the top collaborators of J. Ballet 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 J. Ballet. J. Ballet 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.
Mountrichas, G., H. Stiele, F. J. Carrera, et al.. (2025). Harnessing the XMM-Newton data: X-ray spectral modelling of 4XMM-DR11 detections and 4XMM-DR11s sources. Astronomy and Astrophysics. 704. A16–A16.
2.
Acero, F., et al.. (2024). Bayesian insights into the Tycho supernova remnant: A detailed mapping of ejecta properties. Astronomy and Astrophysics. 693. A234–A234. 2 indexed citations
3.
Casandjian, J. M., J. Ballet, I. A. Grenier, & Quentin Rémy. (2022). Evidence for Large-scale Excesses Associated with Low H i Column Densities in the Sky. I. Dust Excess. The Astrophysical Journal. 940(2). 116–116. 8 indexed citations
4.
Devin, J., M. Lemoine‐Goumard, M.-H. Grondin, et al.. (2020). High-energy gamma-ray study of the dynamically young SNR G150.3+4.5. Astronomy and Astrophysics. 643. A28–A28. 14 indexed citations
5.
Li, Jiangtao, J. Ballet, M. Miceli, et al.. (2018). Spatially Resolved Broadband Synchrotron Emission from the Nonthermal Limbs of SN1006. The Astrophysical Journal. 864(1). 85–85. 13 indexed citations
6.
Tibaldo, L., R. Zanin, J. Ballet, et al.. (2018). Disentangling multiple high-energy emission components in the Vela X pulsar wind nebula with theFermiLarge Area Telescope. Astronomy and Astrophysics. 617. A78–A78. 13 indexed citations
7.
Ferrara, E. C., J. Ballet, E. Cavazzuti, & S. W. Digel. (2015). The Fermi Large Area Telescope Third Gamma-ray Source Catalog. 29. 2255765.
8.
Digel, S. W., J. Ballet, T. Burnett, & G. Tosti. (2011). Fermi Large Area Telescope Second Source Catalog. Bulletin of the American Physical Society. 20 indexed citations
9.
Acero, F., Y. A. Gallant, R. Terrier, M. Renaud, & J. Ballet. (2011). A new nearby PWN overlapping the Vela Jr SNR. MmSAI. 82. 752. 1 indexed citations
10.
Ellison, Donald C., A. Decourchelle, & J. Ballet. (2008). Hydrodynamic simulation of supernova remnants including efficient particle acceleration. Springer Link (Chiba Institute of Technology). 34 indexed citations
11.
Koutroumpa, Dimitra, F. Acero, R. Lallement, J. Ballet, & V. Kharchenko. (2007). OVII and OVIII line emission in the diffuse soft X-ray background: heliospheric and galactic contributions. Springer Link (Chiba Institute of Technology). 58 indexed citations
12.
Produit, N., J. Ballet, & N. Mowlavï. (2004). New gamma-ray transient, IGR J11305-6256 discovered by INTEGRAL. ATel. 278. 1. 1 indexed citations
13.
Decourchelle, A., J.‐L. Sauvageot, M. Audard, et al.. (2001). XMM-Newton observation of the Tycho supernova remnant. Springer Link (Chiba Institute of Technology). 59 indexed citations
14.
Vikhlinin, A., R. Sunyaev, E. Churazov, et al.. (1996). Cygnus X-1. International Astronomical Union Circular. 5576. 1. 1 indexed citations
15.
Rothenflug, R., et al.. (1994). Hydrodynamic model of Kepler's supernova remnant constrained by EINSTEIN and EXOSAT X-ray spectra.. A&A. 291. 271–282. 1 indexed citations
16.
Lei, F., J. P. Roques, P. Mandrou, et al.. (1993). Search for the compact 511 keV radiation source in the Galactic Centre Region with SIGMA. Astronomy & Astrophysics Supplement Series. 97(1). 189–191. 1 indexed citations
17.
Vikhlinin, A., M. Gilfanov, R. A. Syunyaev, et al.. (1993). Location and spectrum of the x-ray transient source GRS 1915+105. Astronomy Letters. 19(6). 435–437. 1 indexed citations
18.
Gilfanov, M., E. Churazov, R. Sunyaev, et al.. (1993). The spectra of Nova Muscae 1991 between 3 keV and 1 MeV observed with GRANAT. Astronomy & Astrophysics Supplement Series. 97(1). 303–307. 1 indexed citations
19.
Leray, J. P., J. Ballet, F. Lebrun, et al.. (1991). In-Orbit Performances of the Hard X-Ray/Soft Gamma-Ray Telescope Sigma on Board the Soviet Spacecraft Granat. ICRC. 2. 495. 1 indexed citations
20.
Sunyaev, R., M. Gilfanov, E. Churazov, et al.. (1991). Two hard X-ray sources in the field of the galactic center : well known 1E 174O.7-2942 and discovered GRS 1758-258.. 17. 116–125.

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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