Gilles Saussine

1.3k total citations
30 papers, 990 citations indexed

About

Gilles Saussine is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Computational Mechanics. According to data from OpenAlex, Gilles Saussine has authored 30 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 17 papers in Civil and Structural Engineering and 10 papers in Computational Mechanics. Recurrent topics in Gilles Saussine's work include Railway Engineering and Dynamics (21 papers), Geotechnical Engineering and Underground Structures (10 papers) and Granular flow and fluidized beds (10 papers). Gilles Saussine is often cited by papers focused on Railway Engineering and Dynamics (21 papers), Geotechnical Engineering and Underground Structures (10 papers) and Granular flow and fluidized beds (10 papers). Gilles Saussine collaborates with scholars based in France and China. Gilles Saussine's co-authors include Farhang Radjaï, Émilien Azéma, Robert Peyroux, Nicolas Calon, Hanlin Wang, Yu-Jun Cui, Jean Canou, Renpeng Chen, Francisco López and Jean-Claude Dupla and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

Gilles Saussine

30 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gilles Saussine France 15 703 380 315 248 206 30 990
Ali Daouadji France 19 1.0k 1.5× 277 0.7× 150 0.5× 404 1.6× 341 1.7× 47 1.3k
Yanyan Sha Norway 19 687 1.0× 204 0.5× 377 1.2× 87 0.4× 347 1.7× 49 1.0k
Jean-François Ferellec France 7 355 0.5× 196 0.5× 153 0.5× 138 0.6× 121 0.6× 8 501
Olivier Chupin France 14 439 0.6× 75 0.2× 151 0.5× 90 0.4× 137 0.7× 36 577
Chuanbo Zhou China 22 1.0k 1.4× 44 0.1× 168 0.5× 280 1.1× 762 3.7× 84 1.4k
Andrew J. Abbo Australia 20 1.5k 2.1× 213 0.6× 95 0.3× 150 0.6× 421 2.0× 38 1.8k
Yuexiang Lin China 15 433 0.6× 38 0.1× 133 0.4× 81 0.3× 222 1.1× 28 641
Yawu Zeng China 13 228 0.3× 105 0.3× 82 0.3× 205 0.8× 351 1.7× 29 520
Xuansheng Cheng China 14 457 0.7× 158 0.4× 82 0.3× 36 0.1× 71 0.3× 111 589
O. A. Pekau Canada 17 673 1.0× 58 0.2× 119 0.4× 82 0.3× 254 1.2× 46 767

Countries citing papers authored by Gilles Saussine

Since Specialization
Citations

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

Fields of papers citing papers by Gilles Saussine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilles Saussine

This figure shows the co-authorship network connecting the top 25 collaborators of Gilles Saussine. A scholar is included among the top collaborators of Gilles Saussine 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 Gilles Saussine. Gilles Saussine 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.
Louf, François, et al.. (2022). An Efficient Numerical Model to Predict the Mechanical Response of a Railway Track in the Low-Frequency Range. SHILAP Revista de lepidopterología. 5(2). 326–343. 5 indexed citations
2.
Louf, François, et al.. (2020). A lightweight numerical model of railway track to predict mechanical stress state in the rail. International Journal of Transport Development and Integration. 4(2). 152–162. 1 indexed citations
3.
Louf, François, et al.. (2020). A lightweight numerical model of railway track to predict mechanical stress state in the rail. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
4.
Wang, Hanlin, Yu-Jun Cui, Francisco López, et al.. (2018). Investigation on the mechanical behavior of track-bed materials at various contents of coarse grains. Construction and Building Materials. 164. 228–237. 68 indexed citations
5.
Wang, Hanlin, Yu-Jun Cui, Francisco López, et al.. (2017). Effects of inclusion contents on resilient modulus and damping ratio of unsaturated track-bed materials. Canadian Geotechnical Journal. 54(12). 1672–1681. 90 indexed citations
6.
Ferellec, Jean-François, et al.. (2017). Analysis of compaction of railway ballast by different maintenance methods using DEM. SHILAP Revista de lepidopterología. 140. 15032–15032. 13 indexed citations
7.
Saussine, Gilles, et al.. (2015). A risk assessment method for ballast flight; managing the rolling stock/infrastructure interaction. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 229(6). 581–593. 6 indexed citations
8.
Saussine, Gilles, et al.. (2014). Predicting the settlement of coarse granular materials under vertical loading. Scientific Reports. 4(1). 5707–5707. 7 indexed citations
9.
Saussine, Gilles, et al.. (2014). Railway Ballast Settlement: A New Predictive Model. Civil-comp proceedings. 104. 9 indexed citations
10.
Bressolette, Ph., et al.. (2012). Reliability analysis of maintenance operations for railway tracks. Reliability Engineering & System Safety. 114. 12–25. 28 indexed citations
11.
Breul, Pierre, et al.. (2012). Stability, deformation, and variability of granular fills composed of polyhedral particles. Physical Review E. 86(3). 31308–31308. 17 indexed citations
12.
Bressolette, Ph., et al.. (2011). A probabilistic approach for estimating the behavior of railway tracks. Engineering Structures. 33(7). 2120–2133. 14 indexed citations
13.
Saussine, Gilles, et al.. (2009). Compaction of Railway Ballast During Tamping Process: a Parametric Study. AIP conference proceedings. 469–472. 25 indexed citations
14.
Azéma, Émilien, Farhang Radjaï, Gilles Saussine, Masami Nakagawa, & Stefan Luding. (2009). Quasistatic behavior and force transmission in packing of irregular polyhedral particles. AIP conference proceedings. 273–276. 1 indexed citations
15.
Breul, Pierre, et al.. (2009). Penetration Test Modelling in a Coarse Granular Medium. AIP conference proceedings. 173–176. 8 indexed citations
16.
Azéma, Émilien, Farhang Radjaï, Robert Peyroux, Vincent Richefeu, & Gilles Saussine. (2008). Short-time dynamics of a packing of polyhedral grains under horizontal vibrations. The European Physical Journal E. 26(3). 327–335. 27 indexed citations
17.
Azéma, Émilien, Farhang Radjaï, Robert Peyroux, & Gilles Saussine. (2007). Force transmission in a packing of pentagonal particles. Physical Review E. 76(1). 11301–11301. 146 indexed citations
18.
Azéma, Émilien, Farhang Radjaï, Robert Peyroux, Frédéric Dubois, & Gilles Saussine. (2006). Vibrational dynamics of confined granular materials. Physical Review E. 74(3). 31302–31302. 24 indexed citations
19.
Saussine, Gilles, et al.. (2005). Modelling ballast behaviour under dynamic loading. Part 1: A 2D polygonal discrete element method approach. Computer Methods in Applied Mechanics and Engineering. 195(19-22). 2841–2859. 126 indexed citations
20.
Combe, Gaël, et al.. (2002). STUDY OF THE MECHANICAL BEHAVIOUR OF THE BALLASTED TRACK USING DISCRETE ELEMENT METHODS. 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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