Michele Marigo

1.3k total citations
26 papers, 1.0k citations indexed

About

Michele Marigo is a scholar working on Computational Mechanics, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Michele Marigo has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 14 papers in Mechanical Engineering and 8 papers in Mechanics of Materials. Recurrent topics in Michele Marigo's work include Granular flow and fluidized beds (18 papers), Mineral Processing and Grinding (14 papers) and Rock Mechanics and Modeling (5 papers). Michele Marigo is often cited by papers focused on Granular flow and fluidized beds (18 papers), Mineral Processing and Grinding (14 papers) and Rock Mechanics and Modeling (5 papers). Michele Marigo collaborates with scholars based in United Kingdom, United States and Czechia. Michele Marigo's co-authors include E. Hugh Stitt, Zilin Yan, Sam K. Wilkinson, A. Ingram, Douglas Cairns, M. Davies, Jin Y. Ooi, Álvaro Janda, Alessio Alexiadis and Berend van Wachem and has published in prestigious journals such as Scientific Reports, International Journal of Pharmaceutics and Chemical Engineering Science.

In The Last Decade

Michele Marigo

26 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Marigo United Kingdom 17 693 508 247 159 142 26 1.0k
Colin Hare United Kingdom 18 591 0.9× 444 0.9× 161 0.7× 174 1.1× 129 0.9× 62 1.0k
Jieqing Gan Australia 23 1.0k 1.5× 500 1.0× 205 0.8× 332 2.1× 100 0.7× 46 1.3k
Watson L. Vargas United States 12 796 1.1× 236 0.5× 184 0.7× 280 1.8× 133 0.9× 22 1.1k
Hamid Reza Norouzi Iran 16 716 1.0× 391 0.8× 58 0.2× 383 2.4× 66 0.5× 50 1.0k
G. C. Dai China 7 363 0.5× 216 0.4× 108 0.4× 75 0.5× 88 0.6× 9 925
Rahul Bharadwaj United States 13 566 0.8× 255 0.5× 124 0.5× 174 1.1× 85 0.6× 23 746
Alain de Ryck France 17 457 0.7× 154 0.3× 98 0.4× 140 0.9× 56 0.4× 32 731
David Vidal Canada 17 454 0.7× 132 0.3× 51 0.2× 112 0.7× 78 0.5× 48 803
Andreas N. Alexandrou Cyprus 22 554 0.8× 358 0.7× 82 0.3× 97 0.6× 199 1.4× 64 1.3k
Bin Zheng China 16 290 0.4× 383 0.8× 49 0.2× 66 0.4× 41 0.3× 78 796

Countries citing papers authored by Michele Marigo

Since Specialization
Citations

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

Fields of papers citing papers by Michele Marigo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Marigo

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Marigo. A scholar is included among the top collaborators of Michele Marigo 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 Michele Marigo. Michele Marigo 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.
Xiang, Jiansheng, et al.. (2020). Packing simulations of complex-shaped rigid particles using FDEM: An application to catalyst pellets. Powder Technology. 380. 443–461. 20 indexed citations
2.
Markl, Daniel, Vincenzino Vivacqua, Prince Bawuah, et al.. (2020). Terahertz pulsed imaging as a new method for investigating the liquid transport kinetics of α-alumina powder compacts. Process Safety and Environmental Protection. 165. 386–397. 10 indexed citations
3.
4.
Xiang, Jiansheng, et al.. (2019). Strength and fragmentation behaviour of complex-shaped catalyst pellets: A numerical and experimental study. Chemical Engineering Science. 213. 115409–115409. 11 indexed citations
5.
Pullen, A. D., et al.. (2017). Full deflection profile calculation and Young’s modulus optimisation for engineered high performance materials. Scientific Reports. 7(1). 46190–46190. 17 indexed citations
6.
Xiang, Jiansheng, et al.. (2017). Does shape matter? FEMDEM estimations of strength and post failure behaviour of catalyst supports. Spiral (Imperial College London). 90–98. 5 indexed citations
7.
Ness, Christopher, et al.. (2017). Linking particle properties to dense suspension extrusion flow characteristics using discrete element simulations. AIChE Journal. 63(7). 3069–3082. 16 indexed citations
8.
Raso, G., et al.. (2017). “Particle Technology and Engineering: An Engineer’s Guide to Particles and Powders: Fundamentals and Computational Approaches”. Johnson Matthey Technology Review. 61(3). 227–230. 24 indexed citations
9.
Yan, Zilin, Sam K. Wilkinson, E. Hugh Stitt, & Michele Marigo. (2016). Investigating mixing and segregation using discrete element modelling (DEM) in the Freeman FT4 rheometer. International Journal of Pharmaceutics. 513(1-2). 38–48. 47 indexed citations
10.
Wilkinson, Sam K., et al.. (2016). A parametric evaluation of powder flowability using a Freeman rheometer through statistical and sensitivity analysis: A discrete element method (DEM) study. Computers & Chemical Engineering. 97. 161–174. 54 indexed citations
11.
Xiang, Jiansheng, et al.. (2015). An application of the finite-discrete element method in the simulation of ceramic breakage: methodology for a validation study for alumina specimens. Spiral (Imperial College London). 921–932. 5 indexed citations
12.
Marigo, Michele & E. Hugh Stitt. (2015). Discrete Element Method (DEM) for Industrial Applications: Comments on Calibration and Validation for the Modelling of Cylindrical Pellets. KONA Powder and Particle Journal. 32(0). 236–252. 212 indexed citations
13.
Stitt, E. Hugh, et al.. (2015). How Good is Your Model?. Johnson Matthey Technology Review. 59(2). 74–89. 18 indexed citations
14.
Yan, Zilin, Sam K. Wilkinson, E. Hugh Stitt, & Michele Marigo. (2015). Discrete element modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis. Computational Particle Mechanics. 2(3). 283–299. 193 indexed citations
15.
Marigo, Michele, et al.. (2015). An accurate force–displacement law for the modelling of elastic–plastic contacts in discrete element simulations. Powder Technology. 282. 2–9. 37 indexed citations
16.
Marigo, Michele, M. Davies, Thomas W. Leadbeater, et al.. (2013). Application of Positron Emission Particle Tracking (PEPT) to validate a Discrete Element Method (DEM) model of granular flow and mixing in the Turbula mixer. International Journal of Pharmaceutics. 446(1-2). 46–58. 47 indexed citations
17.
Marigo, Michele, Douglas Cairns, James Bowen, A. Ingram, & E. Hugh Stitt. (2013). Relationship between single and bulk mechanical properties for zeolite ZSM5 spray-dried particles. Particuology. 14. 130–138. 21 indexed citations
18.
Marigo, Michele, Douglas Cairns, M. Davies, A. Ingram, & E. Hugh Stitt. (2011). Developing mechanistic understanding of granular behaviour in complex moving geometry using the Discrete Element Method. Powder Technology. 212(1). 17–24. 25 indexed citations
19.
Marigo, Michele, Douglas Cairns, M. Davies, A. Ingram, & E. Hugh Stitt. (2011). A numerical comparison of mixing efficiencies of solids in a cylindrical vessel subject to a range of motions. Powder Technology. 217. 540–547. 65 indexed citations
20.

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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