T. Sousbie

4.2k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

T. Sousbie is a scholar working on Astronomy and Astrophysics, Statistical and Nonlinear Physics and Instrumentation. According to data from OpenAlex, T. Sousbie has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 6 papers in Statistical and Nonlinear Physics and 3 papers in Instrumentation. Recurrent topics in T. Sousbie's work include Galaxies: Formation, Evolution, Phenomena (16 papers), Cosmology and Gravitation Theories (7 papers) and Scientific Research and Discoveries (5 papers). T. Sousbie is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (16 papers), Cosmology and Gravitation Theories (7 papers) and Scientific Research and Discoveries (5 papers). T. Sousbie collaborates with scholars based in France, Japan and Canada. T. Sousbie's co-authors include Christophe Pichon, Julien Devriendt, D. Pogosyan, Adrianne Slyz, Yohan Dubois, S. Colombi, Stéphane Colombi, A. Zavagno, D. Ward–Thompson and G. J. White and has published in prestigious journals such as The Astrophysical Journal, Journal of Computational Physics and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

T. Sousbie

18 papers receiving 1.0k citations

Hit Papers

The persistent cosmic web and its filamentary structure -... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Sousbie France 12 958 334 160 92 78 19 1.1k
Yun‐Young Choi South Korea 17 1.1k 1.1× 502 1.5× 170 1.1× 76 0.8× 35 0.4× 39 1.1k
Y. Ascasíbar Spain 18 962 1.0× 441 1.3× 238 1.5× 46 0.5× 12 0.2× 55 1.0k
Katarina Kraljic France 31 2.0k 2.0× 942 2.8× 229 1.4× 68 0.7× 31 0.4× 70 2.0k
Pierre Ocvirk France 21 1.8k 1.8× 790 2.4× 370 2.3× 57 0.6× 20 0.3× 50 1.8k
Brice Ménard United States 22 1.3k 1.4× 382 1.1× 312 1.9× 48 0.5× 22 0.3× 44 1.5k
Noam I. Libeskind Germany 27 2.1k 2.1× 1.1k 3.2× 388 2.4× 133 1.4× 25 0.3× 96 2.2k
Dmitry Pogosyan Canada 10 1.2k 1.2× 405 1.2× 317 2.0× 146 1.6× 6 0.1× 13 1.2k
D. M. Elmegreen United States 35 3.8k 4.0× 1.7k 5.0× 209 1.3× 147 1.6× 105 1.3× 115 4.0k
H. Dejonghe Belgium 28 2.0k 2.1× 899 2.7× 127 0.8× 154 1.7× 24 0.3× 91 2.1k
Ho Seong Hwang South Korea 25 2.2k 2.3× 1.2k 3.6× 233 1.5× 70 0.8× 28 0.4× 114 2.3k

Countries citing papers authored by T. Sousbie

Since Specialization
Citations

This map shows the geographic impact of T. Sousbie'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 T. Sousbie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Sousbie more than expected).

Fields of papers citing papers by T. Sousbie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Sousbie

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

All Works

19 of 19 papers shown
1.
Sousbie, T. & Stéphane Colombi. (2016). ColDICE: A parallel Vlasov–Poisson solver using moving adaptive simplicial tessellation. Journal of Computational Physics. 321. 644–697. 38 indexed citations
2.
Colombi, S., T. Sousbie, Sébastien Peirani, G. Plum, & Yasushi Suto. (2015). Vlasov versus N-body: the Hénon sphere. Monthly Notices of the Royal Astronomical Society. 450(4). 3724–3741. 15 indexed citations
3.
Roussel, H., T. Sousbie, L. Testi, et al.. (2014). The Pipe Nebula as seen with Herschel: Formation of filamentary structures by large-scale compression??. 37 indexed citations
4.
Laigle, C., Christophe Pichon, Sandrine Codis, et al.. (2014). Swirling around filaments: are large-scale structure vortices spinning up dark haloes?. Monthly Notices of the Royal Astronomical Society. 446(3). 2744–2759. 104 indexed citations
5.
Mitsuishi, Ikuyuki, et al.. (2014). EXPLORING HOT GAS AT JUNCTIONS OF GALAXY FILAMENTS WITHSUZAKU. The Astrophysical Journal. 783(2). 137–137.
6.
Sousbie, T.. (2013). DisPerSE: Discrete Persistent Structures Extractor. Astrophysics Source Code Library. 1 indexed citations
7.
Pichon, Christophe, Julien Devriendt, Adrianne Slyz, et al.. (2012). Connecting the cosmic web to the spin of dark haloes: implications for galaxy formation. Monthly Notices of the Royal Astronomical Society. 427(4). 3320–3336. 185 indexed citations
8.
Pezzuto, S., M. Sauvage, T. Sousbie, et al.. (2011). Filaments and ridges in Vela C revealed by Herschel?: from low-mass to high-mass star-forming sites??. 87 indexed citations
9.
Kawahara, Hajime, Hiroshi Yoshitake, Takahiro Nishimichi, & T. Sousbie. (2011). SUZAKU OBSERVATION OF A NEW MERGING GROUP OF GALAXIES AT A FILAMENTARY JUNCTION. The Astrophysical Journal Letters. 727(2). L38–L38. 6 indexed citations
10.
Sousbie, T.. (2011). The persistent cosmic web and its filamentary structure - I. Theory and implementation. Monthly Notices of the Royal Astronomical Society. 414(1). 350–383. 388 indexed citations breakdown →
11.
Pichon, Christophe, et al.. (2010). On the filamentary environment of galaxies. Zurich Open Repository and Archive (University of Zurich). 10 indexed citations
12.
Pichon, Christophe, Dmitry Pogosyan, S. Prunet, et al.. (2010). The Skeleton: Connecting Large Scale Structures to Galaxy Formation. AIP conference proceedings. 1108–1117. 8 indexed citations
13.
Pichon, Christophe, S. Prunet, K. Benabed, et al.. (2009). aski: full-sky lensing map-making algorithms. Monthly Notices of the Royal Astronomical Society. 401(2). 705–726. 13 indexed citations
14.
Sousbie, T., S. Colombi, & Christophe Pichon. (2009). The fully connectedN-dimensional skeleton: probing the evolution of the cosmic web. Monthly Notices of the Royal Astronomical Society. 393(2). 457–477. 48 indexed citations
15.
Colombi, S., et al.. (2008). Recovering the topology of the intergalactic medium at zâ¼ 2. Monthly Notices of the Royal Astronomical Society. 386(1). 211–229. 34 indexed citations
16.
Pichon, Christophe, et al.. (2008). On the onset of stochasticity in Λ cold dark matter cosmological simulations. Monthly Notices of the Royal Astronomical Society. 387(1). 397–406. 11 indexed citations
17.
Sousbie, T., Christophe Pichon, H. M. Courtois, S. Colombi, & D. Novikov. (2007). The Three-dimensional Skeleton of the SDSS. The Astrophysical Journal. 672(1). L1–L4. 41 indexed citations
18.
Delliou, Morgan Le, C. G. Lacey, C. M. Baugh, et al.. (2005). The abundance of Lyα emitters in hierarchical models. Monthly Notices of the Royal Astronomical Society Letters. 357(1). L11–L15. 40 indexed citations
19.
Courtois, H., G. Paturel, T. Sousbie, & Francesco Sylos Labini. (2004). The LEDA galaxy distribution. Astronomy and Astrophysics. 423(1). 27–32. 6 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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