D. Vibert

3.9k total citations
23 papers, 548 citations indexed

About

D. Vibert is a scholar working on Astronomy and Astrophysics, Instrumentation and Electrical and Electronic Engineering. According to data from OpenAlex, D. Vibert has authored 23 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Astronomy and Astrophysics, 6 papers in Instrumentation and 4 papers in Electrical and Electronic Engineering. Recurrent topics in D. Vibert's work include Galaxies: Formation, Evolution, Phenomena (9 papers), Astronomy and Astrophysical Research (6 papers) and Solar and Space Plasma Dynamics (5 papers). D. Vibert is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (9 papers), Astronomy and Astrophysical Research (6 papers) and Solar and Space Plasma Dynamics (5 papers). D. Vibert collaborates with scholars based in France, United States and United Kingdom. D. Vibert's co-authors include Christophe Pichon, Yohan Dubois, Julien Devriendt, S. Arnouts, P. Lamy, A. Llébaria, Sandrine Codis, Nora Elisa Chisari, Romain Teyssier and H. J. McCracken and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

D. Vibert

19 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Vibert France 13 520 188 76 39 28 23 548
Svetlin Tassev United States 10 500 1.0× 85 0.5× 155 2.0× 25 0.6× 10 0.4× 13 515
Barry Rothberg United States 12 542 1.0× 260 1.4× 37 0.5× 14 0.4× 19 0.7× 37 585
R. Andrae Germany 12 784 1.5× 386 2.1× 47 0.6× 16 0.4× 11 0.4× 26 822
Enrico Garaldi Germany 16 703 1.4× 274 1.5× 225 3.0× 9 0.2× 22 0.8× 40 821
E. Davoust France 13 411 0.8× 152 0.8× 55 0.7× 16 0.4× 10 0.4× 65 479
F. Stasyszyn Germany 17 684 1.3× 181 1.0× 174 2.3× 10 0.3× 14 0.5× 26 725
M. Waterson United Kingdom 10 522 1.0× 115 0.6× 131 1.7× 38 1.0× 6 0.2× 23 569
Susana Planelles Spain 18 1.1k 2.1× 452 2.4× 264 3.5× 13 0.3× 19 0.7× 33 1.1k
P. A. A. Lopes Brazil 17 673 1.3× 418 2.2× 76 1.0× 7 0.2× 44 1.6× 46 716
Brian R. Kent United States 16 766 1.5× 347 1.8× 129 1.7× 6 0.2× 19 0.7× 30 839

Countries citing papers authored by D. Vibert

Since Specialization
Citations

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

Fields of papers citing papers by D. Vibert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Vibert

This figure shows the co-authorship network connecting the top 25 collaborators of D. Vibert. A scholar is included among the top collaborators of D. Vibert 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 D. Vibert. D. Vibert 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.
2.
Vibert, D., et al.. (2019). The challenging end-to-end pre-flight calibration of FIREBall-2 at the launch base. 233.
3.
Schmitt, Alfred, V. Le Brun, O. Le Fèvre, et al.. (2019). AMAZED: Algorithm for Massive Automated Z Evaluation and Determination. 521. 398.
4.
Augustin, Ramona, B. Milliard, Céline Péroux, et al.. (2019). Emission from the circumgalactic medium: from cosmological zoom-in simulations to multiwavelength observables. Monthly Notices of the Royal Astronomical Society. 489(2). 2417–2438. 21 indexed citations
5.
Brun, V. Le, O. Le Fèvre, D. Vibert, et al.. (2018). Automated reliability assessment for spectroscopic redshift measurements. Springer Link (Chiba Institute of Technology). 2 indexed citations
6.
Treyer, M., Katarina Kraljic, S. Arnouts, et al.. (2018). Group quenching and galactic conformity at low redshift. Monthly Notices of the Royal Astronomical Society. 477(2). 2684–2704. 19 indexed citations
7.
Codis, Sandrine, Nora Elisa Chisari, D. Vibert, et al.. (2018). Galaxy orientation with the cosmic web across cosmic time. Monthly Notices of the Royal Astronomical Society. 481(4). 4753–4774. 75 indexed citations
8.
Kraljic, Katarina, Christophe Pichon, Yohan Dubois, et al.. (2018). Galaxies flowing in the oriented saddle frame of the cosmic web. Monthly Notices of the Royal Astronomical Society. 483(3). 3227–3254. 41 indexed citations
9.
Laigle, C., Christophe Pichon, S. Arnouts, et al.. (2017). COSMOS2015 photometric redshifts probe the impact of filaments on galaxy properties. Monthly Notices of the Royal Astronomical Society. 474(4). 5437–5458. 108 indexed citations
10.
Lamy, P., et al.. (2017). Anomalous Surge of the White-Light Corona at the Onset of the Declining Phase of Solar Cycle 24. Solar Physics. 292(4). 8 indexed citations
11.
Moutard, T., S. Arnouts, O. Ilbert, et al.. (2016). The VIPERS Multi-Lambda Survey I. UV and near-IR observations, multi-colour catalogues, and photometric redshifts. CaltechAUTHORS (California Institute of Technology). 24 indexed citations
12.
Moutard, T., S. Arnouts, O. Ilbert, et al.. (2016). The VIPERS Multi-Lambda Survey. Astronomy and Astrophysics. 590. A102–A102. 47 indexed citations
13.
Vibert, D., et al.. (2016). Time-dependent tomographic reconstruction of the solar corona. Astronomy and Computing. 17. 144–162. 14 indexed citations
14.
Mège, P., et al.. (2015). The UV multi-object slit-spectrograph FIREBall-2 simulator. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9601. 960110–960110. 1 indexed citations
15.
Capanna, Claire, Gilles Gesquière, L. Jordá, P. Lamy, & D. Vibert. (2013). Three-dimensional reconstruction using multiresolution photoclinometry by deformation. The Visual Computer. 29(6-8). 825–835. 15 indexed citations
16.
Stephan, F., Yann Rasera, D. Vibert, et al.. (2012). Observable signatures of the low-z circumgalactic and intergalactic media: ultraviolet line emission in simulations. Monthly Notices of the Royal Astronomical Society. 420(2). 1731–1753. 16 indexed citations
17.
Vibert, D., Michel Zamojski, Simon Conseil, et al.. (2009). Photometry in UV astronomical images of extended sources in crowded field using deblended images in optical visible bands as Bayesian priors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7246. 72460U–72460U. 1 indexed citations
18.
Llébaria, A., et al.. (2007). Three-dimensional reconstruction of the streamer belt and other large-scale structures of the solar corona. Astronomy and Astrophysics. 473(1). 265–277. 19 indexed citations
19.
Doré, O., Romain Teyssier, F. R. Bouchet, D. Vibert, & S. Prunet. (2001). MAPCUMBA: A fast iterative multi-grid map-making algorithm for CMB experiments. Astronomy and Astrophysics. 374(1). 358–370. 43 indexed citations
20.
Vibert, D., et al.. (1997). The Streamer Belt at Solar Minimum: Simulation and Comparison with LASCO-C2 Images. ESASP. 404. 713. 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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