Andrea C. Santomaso

1.5k total citations
55 papers, 1.2k citations indexed

About

Andrea C. Santomaso is a scholar working on Computational Mechanics, Management, Monitoring, Policy and Law and Civil and Structural Engineering. According to data from OpenAlex, Andrea C. Santomaso has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Mechanics, 14 papers in Management, Monitoring, Policy and Law and 13 papers in Civil and Structural Engineering. Recurrent topics in Andrea C. Santomaso's work include Granular flow and fluidized beds (43 papers), Landslides and related hazards (14 papers) and Soil and Unsaturated Flow (11 papers). Andrea C. Santomaso is often cited by papers focused on Granular flow and fluidized beds (43 papers), Landslides and related hazards (14 papers) and Soil and Unsaturated Flow (11 papers). Andrea C. Santomaso collaborates with scholars based in Italy, France and United Kingdom. Andrea C. Santomaso's co-authors include Paolo Canu, Riccardo Artoni, P. Di Lazzaro, Fabio Gabrieli, Erica Franceschinis, Nicola Realdon, Simonetta Cola, Massimo Bresciani, Yulong Ding and David York and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Chemical Engineering Journal.

In The Last Decade

Andrea C. Santomaso

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea C. Santomaso Italy 21 741 321 243 184 177 55 1.2k
Colin Hare United Kingdom 18 591 0.8× 444 1.4× 58 0.2× 174 0.9× 161 0.9× 62 1.0k
Clive E Davies New Zealand 16 417 0.6× 192 0.6× 88 0.4× 112 0.6× 66 0.4× 94 834
William R. Ketterhagen United States 24 1.8k 2.4× 860 2.7× 301 1.2× 496 2.7× 391 2.2× 44 2.2k
Boris Golman Kazakhstan 15 240 0.3× 286 0.9× 55 0.2× 78 0.4× 158 0.9× 104 950
Bryan J. Ennis United States 8 1.5k 2.0× 701 2.2× 64 0.3× 265 1.4× 142 0.8× 10 2.0k
Michele Marigo United Kingdom 17 693 0.9× 508 1.6× 69 0.3× 159 0.9× 247 1.4× 26 1.0k
A. W. Jenike United States 16 1.1k 1.5× 506 1.6× 202 0.8× 206 1.1× 388 2.2× 24 1.6k
Stefan Radl Austria 26 1.6k 2.1× 465 1.4× 60 0.2× 748 4.1× 118 0.7× 98 2.2k
Paul R. Mort United States 14 590 0.8× 355 1.1× 29 0.1× 69 0.4× 48 0.3× 41 808
Rahul Garg United States 15 1.2k 1.6× 205 0.6× 58 0.2× 759 4.1× 65 0.4× 26 1.4k

Countries citing papers authored by Andrea C. Santomaso

Since Specialization
Citations

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

Fields of papers citing papers by Andrea C. Santomaso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea C. Santomaso. 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 Andrea C. Santomaso. The network helps show where Andrea C. Santomaso may publish in the future.

Co-authorship network of co-authors of Andrea C. Santomaso

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea C. Santomaso. A scholar is included among the top collaborators of Andrea C. Santomaso 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 Andrea C. Santomaso. Andrea C. Santomaso 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.
Santomaso, Andrea C., et al.. (2024). Investigation on particle size and packing tortuosity by coupling image analysis and permeability tests. Advanced Powder Technology. 35(10). 104622–104622. 2 indexed citations
2.
Santomaso, Andrea C., et al.. (2020). Modeling and experimental investigation of shear-induced particle percolation in diluted binary mixtures. Physical review. E. 102(1). 12902–12902. 5 indexed citations
3.
Franceschinis, Erica, et al.. (2020). Prediction of the growth kinetics and agglomeration mechanisms using a mixer torque rheometer. Process Safety and Environmental Protection. 159. 328–338. 7 indexed citations
4.
Santomaso, Andrea C., et al.. (2018). Characterising powder flowability at high shear rates by the ball indentation method. SHILAP Revista de lepidopterología. 74. 391–396. 2 indexed citations
5.
Santomaso, Andrea C., et al.. (2017). Modellazione numerica di flussi granulari. Research Padua Archive (University of Padua). 16. 9–14. 1 indexed citations
6.
Facco, Pierantonio, Andrea C. Santomaso, & Massimiliano Barolo. (2017). Artificial vision system for particle size characterization from bulk materials. Chemical Engineering Science. 164. 246–257. 12 indexed citations
7.
Canu, Paolo, et al.. (2017). Simulation of free surface granular flows in tumblers. Advanced Powder Technology. 28(3). 1028–1037. 8 indexed citations
8.
Canu, Paolo, et al.. (2016). Prediction of segregation in funnel and mass flow discharge. Chemical Engineering Science. 150. 16–25. 33 indexed citations
9.
Santomaso, Andrea C., et al.. (2016). In-line characterization of ground oilseeds concentration in solid-liquid dispersions in the food industry. LWT. 77. 298–307. 2 indexed citations
10.
Santomaso, Andrea C., et al.. (2015). Improved compaction of dried tannery wastewater sludge. Waste Management. 46. 472–479. 4 indexed citations
11.
Franceschinis, Erica, et al.. (2015). Influence of process variables on the properties of simvastatin self-emulsifying granules obtained through high shear wet granulation. Powder Technology. 274. 173–179. 19 indexed citations
12.
Franceschinis, Erica, et al.. (2014). High shear mixer granulation using food grade binders with different thickening power. Food Research International. 64. 711–717. 6 indexed citations
13.
Santomaso, Andrea C., Riccardo Artoni, & Paolo Canu. (2013). Controlling axial segregation in drum mixers through wall friction: Cellular automata simulations and experiments. Chemical Engineering Science. 90. 151–160. 22 indexed citations
14.
Artoni, Riccardo, et al.. (2012). Scaling Laws for the Slip Velocity in Dense Granular Flows. Physical Review Letters. 108(23). 238002–238002. 34 indexed citations
15.
Bresciani, Massimo, et al.. (2011). Combining formulation and process aspects for optimizing the high-shear wet granulation of common drugs. International Journal of Pharmaceutics. 416(1). 229–41. 25 indexed citations
16.
Canu, Paolo, et al.. (2011). Development and characterization of a new thief sampling device for cohesive powders. International Journal of Pharmaceutics. 416(1). 260–267. 17 indexed citations
17.
Artoni, Riccardo, Andrea C. Santomaso, & Paolo Canu. (2009). Simulation of dense granular flows: Dynamics of wall stress in silos. Chemical Engineering Science. 64(18). 4040–4050. 35 indexed citations
18.
Artoni, Riccardo, Andrea C. Santomaso, Paolo Canu, et al.. (2008). A Dissipative Coulomb Model for Dense Granular Flows. AIP conference proceedings. 1027. 941–943. 1 indexed citations
19.
Santomaso, Andrea C., Maria Rita Cozzi, Monica Battiston, et al.. (2005). Characterization of Platelet Adhesion under Flow using Microscopic Image Sequence Analysis. The International Journal of Artificial Organs. 28(7). 678–685. 4 indexed citations
20.
Santomaso, Andrea C., et al.. (2004). Mechanisms of mixing of granular materials in drum mixers under rolling regime. Chemical Engineering Science. 59(16). 3269–3280. 70 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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