David Cantor

442 total citations
27 papers, 305 citations indexed

About

David Cantor is a scholar working on Computational Mechanics, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, David Cantor has authored 27 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 12 papers in Civil and Structural Engineering and 11 papers in Mechanics of Materials. Recurrent topics in David Cantor's work include Granular flow and fluidized beds (22 papers), Landslides and related hazards (11 papers) and Geotechnical Engineering and Soil Mechanics (10 papers). David Cantor is often cited by papers focused on Granular flow and fluidized beds (22 papers), Landslides and related hazards (11 papers) and Geotechnical Engineering and Soil Mechanics (10 papers). David Cantor collaborates with scholars based in Canada, France and Thailand. David Cantor's co-authors include Émilien Azéma, Farhang Radjaï, Carlos Ovalle, Itthichai Preechawuttipong, Mathieu Renouf, Philippe Sornay, Jonathan Barés, Nicolás Estrada, Frédéric Dubois and Edmund Ramsden and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and International Journal of Solids and Structures.

In The Last Decade

David Cantor

26 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Cantor Canada	10	193	157	94	91	46	27	305
Hien Nho Gia Nguyen France	9	126 0.7×	116 0.7×	99 1.1×	84 0.9×	45 1.0×	10	297
Chaofa Zhao China	13	110 0.6×	238 1.5×	99 1.1×	68 0.7×	30 0.7×	29	393
Philippe Sornay France	11	237 1.2×	119 0.8×	107 1.1×	74 0.8×	68 1.5×	18	367
Georg Koval France	10	228 1.2×	170 1.1×	187 2.0×	141 1.5×	31 0.7×	23	415
Dengming Wang China	12	212 1.1×	88 0.6×	171 1.8×	59 0.6×	31 0.7×	35	336
C. Voivret France	7	334 1.7×	251 1.6×	175 1.9×	135 1.5×	51 1.1×	9	504
Vasileios Angelidakis United Kingdom	9	99 0.5×	103 0.7×	44 0.5×	59 0.6×	77 1.7×	23	242
Bryan Euser United States	9	60 0.3×	145 0.9×	79 0.8×	220 2.4×	56 1.2×	16	377
Ivana Agnolin France	7	324 1.7×	205 1.3×	115 1.2×	194 2.1×	49 1.1×	7	457
Denis Vallet France	8	204 1.1×	228 1.5×	100 1.1×	213 2.3×	107 2.3×	13	467

Countries citing papers authored by David Cantor

Since Specialization

Citations

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

Fields of papers citing papers by David Cantor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Cantor

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

All Works

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20 of 20 papers shown

Cantor, David, et al.. (2025). Micro- and Macro-Mechanical Analysis of Rev in Sheared Polydisperse Granular Samples. IOP Conference Series Earth and Environmental Science. 1480(1). 12076–12076.

Cantor, David, Émilien Azéma, & Carlos Ovalle. (2024). Failure of an effective stress approach in polydisperse wet granular materials. Physical Review Research. 6(2). 2 indexed citations

Cantor, David, et al.. (2024). Particle shape distribution effects on the critical strength of granular materials. Computers and Geotechnics. 177. 106896–106896. 6 indexed citations

Cantor, David, et al.. (2024). Rev assessment of granular materials with varied grading based on macro- and micro-mechanical statistical data. Acta Geotechnica. 20(4). 1585–1598. 4 indexed citations

Ovalle, Carlos, et al.. (2023). Size effects assessment of mine waste-rock shear strength combining numerical, laboratory and in situ approaches. PolyPublie (École Polytechnique de Montréal). 291–300. 1 indexed citations

Cantor, David, et al.. (2023). Shear strength of angular granular materials with size and shape polydispersity. SHILAP Revista de lepidopterología. 4. 1–14. 9 indexed citations

Cantor, David & Carlos Ovalle. (2023). Sample size effects on the critical state shear strength of granular materials with varied gradation and the role of column-like local structures. Géotechnique. 75(1). 29–40. 11 indexed citations

Cantor, David, Carlos Ovalle, & Émilien Azéma. (2022). Microstructural origins of crushing strength for inherently anisotropic brittle materials. International Journal of Solids and Structures. 238. 111399–111399. 9 indexed citations

Barés, Jonathan, et al.. (2022). Softer than soft: Diving into squishy granular matter. SHILAP Revista de lepidopterología. 14. 140009–140009. 9 indexed citations

10.

Cantor, David, et al.. (2022). Bespoke particle shapes in granular matter. SHILAP Revista de lepidopterología. 14. 140007–140007. 6 indexed citations

11.

Cantor, David, Carlos Ovalle, & Émilien Azéma. (2021). Strength and energy consumption of inherently anisotropic rocks at failure. Springer Link (Chiba Institute of Technology). 1 indexed citations

12.

Cantor, David, et al.. (2021). Micromechanical description of the compaction of soft pentagon assemblies. Physical review. E. 103(6). 62902–62902. 12 indexed citations

13.

Barés, Jonathan, et al.. (2021). Highly strained mixtures of bidimensional soft and rigid grains: an experimental approach from the local scale. SHILAP Revista de lepidopterología. 249. 5004–5004. 1 indexed citations

14.

Cantor, David, et al.. (2021). Bulk modulus of soft particle assemblies under compression. SHILAP Revista de lepidopterología. 249. 14014–14014. 2 indexed citations

15.

Cantor, David, Émilien Azéma, & Itthichai Preechawuttipong. (2020). Microstructural analysis of sheared polydisperse polyhedral grains. Physical review. E. 101(6). 62901–62901. 30 indexed citations

16.

Cantor, David, et al.. (2020). Compaction Model for Highly Deformable Particle Assemblies. Physical Review Letters. 124(20). 208003–208003. 32 indexed citations

17.

Cantor, David, et al.. (2020). Compaction of mixtures of rigid and highly deformable particles: A micromechanical model. Physical review. E. 102(3). 32904–32904. 16 indexed citations

18.

Cantor, David, Émilien Azéma, Philippe Sornay, & Farhang Radjaï. (2018). Rheology and structure of polydisperse three-dimensional packings of spheres. Physical review. E. 98(5). 55 indexed citations

19.

Cantor, David, et al.. (2016). Three-dimensional bonded-cell model for grain fragmentation. Computational Particle Mechanics. 4(4). 441–450. 46 indexed citations

20.

Cantor, David, Nicolás Estrada, & Émilien Azéma. (2015). Split-Cell Method for grain fragmentation. Computers and Geotechnics. 67. 150–156. 19 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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