Thomas Vuillaume

2.9k total citations
19 papers, 58 citations indexed

About

Thomas Vuillaume is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Radiation. According to data from OpenAlex, Thomas Vuillaume has authored 19 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nuclear and High Energy Physics, 6 papers in Astronomy and Astrophysics and 5 papers in Radiation. Recurrent topics in Thomas Vuillaume's work include Astrophysics and Cosmic Phenomena (13 papers), Particle Detector Development and Performance (6 papers) and Radiation Detection and Scintillator Technologies (5 papers). Thomas Vuillaume is often cited by papers focused on Astrophysics and Cosmic Phenomena (13 papers), Particle Detector Development and Performance (6 papers) and Radiation Detection and Scintillator Technologies (5 papers). Thomas Vuillaume collaborates with scholars based in France, Italy and Spain. Thomas Vuillaume's co-authors include G. Maurin, Alexandre Benoît, Patrick Lambert, Luca Antiga, Giorgia Silvestri, G. Henri, D. Nieto, G. Lamanna, R. López-Coto and Bryan S. Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Astronomy and Astrophysics and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Thomas Vuillaume

16 papers receiving 56 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Vuillaume France	5	49	30	18	12	7	19	58
T. L. Holch Germany	4	53 1.1×	36 1.2×	13 0.7×	7 0.6×	5 0.7×	8	71
M. Büchele Germany	2	39 0.8×	20 0.7×	12 0.7×	7 0.6×	5 0.7×	2	51
C. Steppa Germany	2	58 1.2×	29 1.0×	9 0.5×	6 0.5×	5 0.7×	2	71
Pierluca Sangiorgi Italy	5	43 0.9×	16 0.5×	17 0.9×	3 0.3×	3 0.4×	24	61
Jonas Glombitza Germany	5	51 1.0×	6 0.2×	13 0.7×	5 0.4×	11 1.6×	9	63
Michael Mulhearn United States	4	91 1.9×	47 1.6×	6 0.3×	2 0.2×	5 0.7×	6	100
J. Kempa Poland	6	96 2.0×	28 0.9×	10 0.6×	3 0.3×	8 1.1×	23	103
G. Schott Netherlands	3	61 1.2×	8 0.3×	10 0.6×	2 0.2×	14 2.0×	4	80
S. Söldner‐Rembold United Kingdom	6	119 2.4×	15 0.5×	4 0.2×	4 0.3×	7 1.0×	20	128
Jean-Samuel Roux Canada	4	44 0.9×	26 0.9×	12 0.7×		3 0.4×	6	58

Countries citing papers authored by Thomas Vuillaume

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Vuillaume

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Vuillaume

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Vuillaume. A scholar is included among the top collaborators of Thomas Vuillaume 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 Thomas Vuillaume. Thomas Vuillaume is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Bulgarelli, A., Sami Caroff, G. De Cesare, et al.. (2024). The science alert generation system of the Cherenkov Telescope Array Observatory. SPIRE - Sciences Po Institutional REpository. 84–84.

Vuillaume, Thomas, M. Al-Turany, M. Füßling, et al.. (2023). The ESCAPE Open-source Software and Service Repository. SHILAP Revista de lepidopterología. 3. 46–46. 1 indexed citations

Vuillaume, Thomas, M. Al-Turany, M. Füßling, et al.. (2023). The ESCAPE Open-source Software and Service Repository. Open Research Europe. 3. 46–46.

Vuillaume, Thomas, et al.. (2023). Deep unsupervised domain adaptation applied to the Cherenkov Telescope Array Large-Sized Telescope. SPIRE - Sciences Po Institutional REpository. 133–139. 1 indexed citations

López-Coto, R., et al.. (2021). Deep-learning-driven event reconstruction applied to simulated data from a single Large-Sized Telescope of CTA. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations

Bulgarelli, A., Sami Caroff, V. Fioretti, et al.. (2021). The Science Alert Generation system of the Cherenkov Telescope Array Observatory.. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 937–937. 1 indexed citations

Vuillaume, Thomas, et al.. (2021). Multi-Task Architecture with Attention for Imaging Atmospheric Cherenkov Telescope Data Analysis. 534–544. 5 indexed citations

Vuillaume, Thomas, et al.. (2021). First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning. arXiv (Cornell University). 1–6.

Nieto, D., et al.. (2019). Studying Deep Convolutional Neural Networks With Hexagonal Lattices for Imaging Atmospheric Cherenkov Telescope Event Reconstruction. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 753–753. 10 indexed citations

10.

Antiga, Luca, Thomas Vuillaume, Giorgia Silvestri, et al.. (2019). Indexed Operations for Non-rectangular Lattices Applied to Convolutional Neural Networks. 362–371. 3 indexed citations

11.

Donini, Alice, J. Bregeon, F. Di Pierro, et al.. (2019). The Cherenkov Telescope Array Performance in Divergent Mode. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 664–664. 3 indexed citations

12.

Pierro, F. Di, Luisa Arrabito, Andrés Baquero, et al.. (2019). Monte Carlo Studies of Combined MAGIC and LST1 Observations. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 659–659. 1 indexed citations

13.

Vuillaume, Thomas, Alexandre Benoît, G. Maurin, et al.. (2019). GammaLearn: a Deep Learning framework for IACT data. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

14.

Vuillaume, Thomas, Alexandre Benoît, G. Maurin, et al.. (2019). GammaLearn: A Deep Learning Framework for IACT Data. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 705–705. 5 indexed citations

15.

Antiga, Luca, Thomas Vuillaume, Giorgia Silvestri, et al.. (2019). Indexed Operations for Non-rectangular Lattices Applied to Convolutional Neural Networks. 362–371. 12 indexed citations

16.

Vuillaume, Thomas, Luca Antiga, Alexandre Benoît, et al.. (2019). GammaLearn - first steps to apply Deep Learning to the Cherenkov Telescope Array data. SHILAP Revista de lepidopterología. 214. 6020–6020. 4 indexed citations

17.

Vuillaume, Thomas, et al.. (2019). IndexedConv v1.1. Figshare. 1 indexed citations

18.

Vuillaume, Thomas, et al.. (2018). A stratified jet model for AGN emission in the two-flow paradigm. Astronomy and Astrophysics. 620. A41–A41. 2 indexed citations

19.

Vuillaume, Thomas, et al.. (2015). Variation of bulk Lorentz factor in AGN jets due to Compton rocket in a complex photon field. Astronomy and Astrophysics. 581. A18–A18. 5 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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