B. Guiderdoni

6.0k total citations · 1 hit paper
53 papers, 2.3k citations indexed

About

B. Guiderdoni is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, B. Guiderdoni has authored 53 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Astronomy and Astrophysics, 28 papers in Instrumentation and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in B. Guiderdoni's work include Galaxies: Formation, Evolution, Phenomena (39 papers), Astronomy and Astrophysical Research (28 papers) and Stellar, planetary, and galactic studies (13 papers). B. Guiderdoni is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (39 papers), Astronomy and Astrophysical Research (28 papers) and Stellar, planetary, and galactic studies (13 papers). B. Guiderdoni collaborates with scholars based in France, Germany and United Kingdom. B. Guiderdoni's co-authors include Guinevere Kauffmann, Simon D. M. White, Julien Devriendt, J. Blaizot, F. R. Bouchet, Andrea Cattaneo, Thibault Garel, B. Rocca‐Volmerange, Steve Hatton and Anne Verhamme and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

B. Guiderdoni

51 papers receiving 2.2k citations

Hit Papers

The formation and evolution of galaxies within merging da... 1993 2026 2004 2015 1993 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Guiderdoni France 20 2.2k 1.2k 466 118 82 53 2.3k
D. Le Borgne France 20 3.0k 1.3× 1.7k 1.4× 378 0.8× 90 0.8× 75 0.9× 34 3.1k
M. A. Pahre United States 27 2.6k 1.2× 1.1k 0.9× 449 1.0× 70 0.6× 97 1.2× 46 2.7k
Donald P. Schneider United States 21 2.3k 1.0× 866 0.7× 474 1.0× 66 0.6× 104 1.3× 30 2.4k
D. Schade Canada 21 2.0k 0.9× 1.1k 0.9× 277 0.6× 68 0.6× 94 1.1× 51 2.1k
J. Brinkmann United States 19 2.8k 1.3× 1.1k 0.9× 708 1.5× 97 0.8× 165 2.0× 24 2.9k
M. Moles Spain 28 2.4k 1.1× 1.3k 1.1× 363 0.8× 88 0.7× 98 1.2× 139 2.5k
D. Fadda United States 28 2.4k 1.1× 1.1k 0.9× 383 0.8× 60 0.5× 79 1.0× 77 2.5k
Eric Gawiser United States 33 3.0k 1.3× 1.2k 1.1× 572 1.2× 74 0.6× 97 1.2× 90 3.1k
Benjamin P. Moster Germany 19 2.3k 1.0× 1.3k 1.1× 308 0.7× 87 0.7× 66 0.8× 33 2.3k
Fabio Fontanot Italy 30 2.6k 1.2× 1.6k 1.3× 294 0.6× 94 0.8× 57 0.7× 86 2.6k

Countries citing papers authored by B. Guiderdoni

Since Specialization
Citations

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

Fields of papers citing papers by B. Guiderdoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Guiderdoni

This figure shows the co-authorship network connecting the top 25 collaborators of B. Guiderdoni. A scholar is included among the top collaborators of B. Guiderdoni 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 B. Guiderdoni. B. Guiderdoni 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.
Kerutt, Josephine, L. Wisotzki, Anne Verhamme, et al.. (2022). Equivalent widths of Lyman α emitters in MUSE-Wide and MUSE-Deep. Astronomy and Astrophysics. 659. A183–A183. 21 indexed citations
2.
Dabhade, Pratik, J. Bagchi, D. J. Saikia, et al.. (2020). Search and analysis of giant radio galaxies with associated nuclei (SAGAN). Astronomy and Astrophysics. 642. A153–A153. 53 indexed citations
3.
Hashimoto, Takuya, Thibault Garel, B. Guiderdoni, et al.. (2017). The MUSE Hubble Ultra Deep Field Survey. X. Lyα equivalent widths at 2.9 < z < 6.6. HAL (Le Centre pour la Communication Scientifique Directe). 27 indexed citations
4.
Hashimoto, Takuya, Thibault Garel, B. Guiderdoni, et al.. (2017). The MUSEHubbleUltra Deep Field Survey. Astronomy and Astrophysics. 608. A10–A10. 51 indexed citations
5.
Lagache, G., et al.. (2015). Towards a new modelling of gas flows in a semi-analytical model of galaxy formation and evolution. HAL (Le Centre pour la Communication Scientifique Directe). 9 indexed citations
6.
Garel, Thibault, et al.. (2015). Lyman-α emitters in the context of hierarchical galaxy formation: predictions for VLT/MUSE surveys. Monthly Notices of the Royal Astronomical Society. 455(4). 3436–3452. 9 indexed citations
7.
Lagache, G., et al.. (2014). Galaxy stellar mass assembly: the difficulty matching observations and semi-analytical predictions. Astronomy and Astrophysics. 575. A32–A32. 10 indexed citations
8.
Pandey-Pommier, M., Johan Richard, F. Combes, et al.. (2013). Low-frequency radio emission in the massive galaxy cluster MACSJ0717.5 + 3745. Astronomy and Astrophysics. 557. A117–A117. 7 indexed citations
9.
Verhamme, Anne, Yohan Dubois, J. Blaizot, et al.. (2012). Lyman-αemission properties of simulated galaxies: interstellar medium structure and inclination effects. Astronomy and Astrophysics. 546. A111–A111. 96 indexed citations
10.
Désert, F.–X., et al.. (2007). Dust distribution during reionization. Astronomy and Astrophysics. 476(3). 1145–1150. 2 indexed citations
11.
Rizzo, D., C. Adami, S. Bardelli, et al.. (2003). Comparison of two optical cluster finding algorithms for the new generation of deep galaxy surveys. Astronomy and Astrophysics. 413(2). 453–463. 4 indexed citations
12.
Sadat, R., B. Guiderdoni, & Joseph Silk. (2001). Cosmological history of stars and metals. Springer Link (Chiba Institute of Technology). 6 indexed citations
13.
Roukema, Boudewijn F., et al.. (2001). Star formation \nlosses due to tidal debris in "hierarchical" galaxy formation. Springer Link (Chiba Institute of Technology). 3 indexed citations
14.
Guiderdoni, B. & Ajit Kembhavi. (1998). Starbursts Triggers, Nature, and Evolution Les Houches School, September 17-27, 1996. Springer eBooks. 1 indexed citations
15.
Kunth, D., et al.. (1996). The interplay between massive star formation, the ISM and galaxy evolution. 11. 58 indexed citations
16.
Kauffmann, Guinevere, B. Guiderdoni, & Simon D. M. White. (1994). Faint galaxy counts in a hierarchical universe. Monthly Notices of the Royal Astronomical Society. 267(4). 981–999. 59 indexed citations
17.
Guiderdoni, B. & B. Rocca‐Volmerange. (1991). The faint galaxy counts revisited in an Omega 0 = 1 universe. 252(2). 435–448. 3 indexed citations
18.
Rocca‐Volmerange, B. & B. Guiderdoni. (1988). An atlas of synthetic spectra of galaxies.. Astronomy & Astrophysics Supplement Series. 75(1). 93–106. 2 indexed citations
19.
Guiderdoni, B. & B. Rocca‐Volmerange. (1988). Apparent magnitudes of high-redshift galaxies in UBVRI and Space Telescope phototometric systems.. Astronomy & Astrophysics Supplement Series. 74(2). 185–210. 1 indexed citations
20.
Guiderdoni, B. & B. Rocca‐Volmerange. (1985). Evolution of spiral galaxies in the Virgo cluster. I: Statistical analysis of HI deficiency and colors. 151(1). 108–120. 1 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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