Andrea De Santis

436 total citations
19 papers, 282 citations indexed

About

Andrea De Santis is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Andrea De Santis has authored 19 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 7 papers in Biomedical Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Andrea De Santis's work include Fluid Dynamics and Turbulent Flows (6 papers), Heat Transfer Mechanisms (5 papers) and Fluid Dynamics and Mixing (5 papers). Andrea De Santis is often cited by papers focused on Fluid Dynamics and Turbulent Flows (6 papers), Heat Transfer Mechanisms (5 papers) and Fluid Dynamics and Mixing (5 papers). Andrea De Santis collaborates with scholars based in Netherlands, United Kingdom and Italy. Andrea De Santis's co-authors include Afaque Shams, Michael Fairweather, D.B. Ingham, Mohamed Pourkashanian, Marco Colombo, Lin Ma, F. Roelofs, Chidambaram Narayanan, D. De Santis and Leonardo Cascini and has published in prestigious journals such as Journal of Computational Physics, International Journal of Heat and Mass Transfer and Fuel.

In The Last Decade

Andrea De Santis

18 papers receiving 276 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 De Santis Netherlands 10 190 118 77 69 38 19 282
William D. Fullmer United States 12 453 2.4× 52 0.4× 68 0.9× 88 1.3× 43 1.1× 34 536
M. Yoda United States 6 115 0.6× 49 0.4× 147 1.9× 107 1.6× 27 0.7× 12 278
C.W. Solbrig United States 8 147 0.8× 50 0.4× 91 1.2× 81 1.2× 31 0.8× 30 270
Frank Muldoon United States 11 334 1.8× 150 1.3× 110 1.4× 35 0.5× 76 2.0× 24 388
Nobuyuki Kimura Japan 13 251 1.3× 298 2.5× 66 0.9× 31 0.4× 60 1.6× 30 424
Sudheer Tenneti United States 10 1.1k 5.6× 34 0.3× 67 0.9× 71 1.0× 53 1.4× 12 1.1k
E.D. Hughes United States 9 238 1.3× 161 1.4× 184 2.4× 139 2.0× 34 0.9× 21 404
S. E. Yakush Russia 14 230 1.2× 423 3.6× 41 0.5× 25 0.4× 234 6.2× 94 602
Václav Dostál Czechia 11 100 0.5× 89 0.8× 250 3.2× 158 2.3× 80 2.1× 28 385
Trong-Nguyen Duy South Korea 12 217 1.1× 95 0.8× 38 0.5× 57 0.8× 205 5.4× 22 382

Countries citing papers authored by Andrea De Santis

Since Specialization
Citations

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

Fields of papers citing papers by Andrea De Santis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea De Santis

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea De Santis. A scholar is included among the top collaborators of Andrea De Santis 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 De Santis. Andrea De Santis 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.
Santis, Andrea De, et al.. (2022). Predicting Mass Transfer in Liquid–Liquid Extraction Columns. Processes. 10(5). 968–968. 6 indexed citations
2.
Colombo, Marco, et al.. (2022). Prediction of Horizontal Gas–Liquid Segregated Flow Regimes with an All Flow Regime Multifluid Model. Processes. 10(5). 920–920. 8 indexed citations
3.
Santis, Andrea De, et al.. (2021). A generalized multiphase modelling approach for multiscale flows. Journal of Computational Physics. 436. 110321–110321. 24 indexed citations
4.
Santis, Andrea De, et al.. (2021). Hydrodynamics of annular centrifugal contactors: A CFD analysis using a novel multiphase flow modelling approach. Chemical Engineering Science. 242. 116729–116729. 9 indexed citations
5.
Santis, Andrea De, et al.. (2021). A Novel Generalized Multifluid Modelling Approach for the Simulation of Multiphase Flows: Application to Intensified Liquid-Liquid Extraction. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2 indexed citations
6.
Santis, Andrea De, et al.. (2020). Assessment of the impact of subgrid-scale stress models and mesh resolution on the LES of a partially-premixed swirling flame. Fuel. 281. 118620–118620. 15 indexed citations
7.
Shams, Afaque, Andrea De Santis, & F. Roelofs. (2019). An overview of the AHFM-NRG formulations for the accurate prediction of turbulent flow and heat transfer in low-Prandtl number flows. Nuclear Engineering and Design. 355. 110342–110342. 23 indexed citations
8.
Lampasi, Alessandro, et al.. (2019). Conceptual design of the power supply systems for the Divertor Tokamak Test facility. Fusion Engineering and Design. 146. 937–941. 16 indexed citations
9.
Santis, Andrea De, et al.. (2019). Modelling of a planar impinging jet at unity, moderate and low Prandtl number: Assessment of advanced RANS closures. Annals of Nuclear Energy. 129. 125–145. 8 indexed citations
10.
Shams, Afaque, et al.. (2019). Status and perspectives of turbulent heat transfer modelling in low-Prandtl number fluids. Nuclear Engineering and Design. 353. 110220–110220. 32 indexed citations
11.
Santis, Andrea De & Afaque Shams. (2018). Application of an algebraic turbulent heat flux model to a backward facing step flow at low Prandtl number. Annals of Nuclear Energy. 117. 32–44. 21 indexed citations
12.
Shams, Afaque & Andrea De Santis. (2018). Towards the accurate prediction of the turbulent flow and heat transfer in low-Prandtl fluids. International Journal of Heat and Mass Transfer. 130. 290–303. 29 indexed citations
13.
Santis, D. De, et al.. (2018). The influence of low Prandtl numbers on the turbulent mixed convection in an horizontal channel flow: DNS and assessment of RANS turbulence models. International Journal of Heat and Mass Transfer. 127. 345–358. 22 indexed citations
14.
Santis, Andrea De & Afaque Shams. (2018). Assessment of different URANS models for the prediction of the unsteady thermal mixing in a T-junction. Annals of Nuclear Energy. 121. 501–512. 8 indexed citations
15.
Bagarello, Vincenzo, Andrea De Santis, Giuseppe Giordano, & Massimo Iovino. (2017). Source shape and data analysis procedure effects on hydraulic conductivity of a sandy-loam soil determined by ponding infiltration runs. Journal of Agricultural Engineering. 48(2). 71–71. 5 indexed citations
16.
Santis, Andrea De, D.B. Ingham, Lin Ma, & Mohamed Pourkashanian. (2016). CFD analysis of exhaust gas recirculation in a micro gas turbine combustor for CO2 capture. Fuel. 173. 146–154. 30 indexed citations
17.
Santis, Andrea De, et al.. (2013). Innovative radiation-based direct heat exchanger (DHX) for liquid metal cooled reactors. Nuclear Engineering and Design. 263. 164–171. 9 indexed citations
18.
Cascini, Leonardo, Sabatino Cuomo, & Andrea De Santis. (2011). Numerical modelling of the December 1999 Cervinara flow-like mass movements (Southern Italy). 1. 635–644. 15 indexed citations
19.
Santis, Andrea De, et al.. (1990). Calculation of the maximum bending stress at the tooth root through an analytic and graphic identification of the resisting sections, and comparison of their respective stress values.

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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