Christopher T. DeGroot

456 total citations
34 papers, 290 citations indexed

About

Christopher T. DeGroot is a scholar working on Mechanical Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Christopher T. DeGroot has authored 34 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 12 papers in Computational Mechanics and 12 papers in Biomedical Engineering. Recurrent topics in Christopher T. DeGroot's work include Heat and Mass Transfer in Porous Media (9 papers), Nanofluid Flow and Heat Transfer (8 papers) and Lattice Boltzmann Simulation Studies (7 papers). Christopher T. DeGroot is often cited by papers focused on Heat and Mass Transfer in Porous Media (9 papers), Nanofluid Flow and Heat Transfer (8 papers) and Lattice Boltzmann Simulation Studies (7 papers). Christopher T. DeGroot collaborates with scholars based in Canada, United States and Australia. Christopher T. DeGroot's co-authors include Anthony G. Straatman, J. M. Floryan, Domenico Santoro, Diego Rosso, Horia Hangan, Ahmed E.E. Khalil, Nidia C. Gallego, Ana Luisa Trejos, Amarjeet Bassi and Damien J. Batstone and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Chemical Engineering Science and Physics of Fluids.

In The Last Decade

Christopher T. DeGroot

32 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher T. DeGroot Canada 10 165 123 97 37 27 34 290
Cong Yuan China 13 96 0.6× 138 1.1× 61 0.6× 9 0.2× 79 2.9× 25 333
Anthony Bennett United Kingdom 10 93 0.6× 144 1.2× 155 1.6× 92 2.5× 75 2.8× 26 315
L. Valenz Czechia 12 64 0.4× 151 1.2× 226 2.3× 66 1.8× 17 0.6× 32 358
Thomas Abadie United Kingdom 10 280 1.7× 66 0.5× 183 1.9× 29 0.8× 19 0.7× 24 462
Nabil Beithou Jordan 9 41 0.2× 125 1.0× 42 0.4× 22 0.6× 68 2.5× 36 245
Edgardo Coda Zabetta Finland 11 124 0.8× 116 0.9× 261 2.7× 9 0.2× 21 0.8× 19 432
Ikuhiro Sumi Japan 11 91 0.6× 263 2.1× 106 1.1× 75 2.0× 39 1.4× 24 341
D.B. Donoghue Ireland 8 403 2.4× 106 0.9× 211 2.2× 14 0.4× 28 1.0× 10 501
Renkun Dai China 9 149 0.9× 253 2.1× 55 0.6× 9 0.2× 43 1.6× 20 350

Countries citing papers authored by Christopher T. DeGroot

Since Specialization
Citations

This map shows the geographic impact of Christopher T. DeGroot'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 Christopher T. DeGroot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. DeGroot more than expected).

Fields of papers citing papers by Christopher T. DeGroot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher T. DeGroot. 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 Christopher T. DeGroot. The network helps show where Christopher T. DeGroot may publish in the future.

Co-authorship network of co-authors of Christopher T. DeGroot

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher T. DeGroot. A scholar is included among the top collaborators of Christopher T. DeGroot 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 Christopher T. DeGroot. Christopher T. DeGroot 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.
Chen, Luning, Christopher T. DeGroot, & Amarjeet Bassi. (2024). Biofilm growth enhancement in microalgae biofilm reactors: Parameters, configurations, and modeling. Journal of Water Process Engineering. 65. 105780–105780. 7 indexed citations
2.
Siddiqui, Kamran, et al.. (2023). Energy Modeling of an Aquaculture Raceway. ASME Journal of Heat and Mass Transfer. 146(2).
3.
DeGroot, Christopher T., et al.. (2023). Numerical investigation of thermo-fluid behaviour in a channel with PCM-filled columns. International Journal of Thermal Sciences. 191. 108354–108354. 2 indexed citations
4.
Montesano, John, et al.. (2023). A model for permeability in fibre-reinforced plastics. Transactions of the Canadian Society for Mechanical Engineering. 47(4). 521–531. 1 indexed citations
5.
Khayat, Roger E., et al.. (2022). Bubble Growth in Supersaturated Liquids. Fluids. 7(12). 365–365. 5 indexed citations
6.
Laurent, Julien, Jim Wicks, Ingmar Nopens, et al.. (2022). CFD Modelling for Wastewater Treatment Processes. 5 indexed citations
7.
Allaf, Malihe Mehdizadeh, et al.. (2022). Are Active Fluids Age-Dependent?.
8.
Khalil, Ahmed E.E., Diego Rosso, & Christopher T. DeGroot. (2021). Effects of flow velocity and bubble size distribution on oxygen mass transfer in bubble column reactors—A critical evaluation of the computational fluid dynamics‐population balance model. Water Environment Research. 93(10). 2274–2297. 13 indexed citations
9.
Santoro, Domenico, et al.. (2021). Uncertainty analysis of rising sewer models with respect to input parameters and model structure using Monte Carlo simulations and computational fluid dynamics. Water Science & Technology. 83(10). 2486–2503. 5 indexed citations
10.
DeGroot, Christopher T. & Anthony G. Straatman. (2018). A POROUS MEDIA MODEL OF ALVEOLAR DUCT FLOW IN THE HUMAN LUNG. Journal of Porous Media. 21(5). 405–422. 7 indexed citations
11.
DeGroot, Christopher T., et al.. (2018). A numerical approach for determining the resistance of fine mesh filters. Transactions of the Canadian Society for Mechanical Engineering. 43(2). 221–229. 7 indexed citations
12.
DeGroot, Christopher T., et al.. (2017). Development of a Volume-Based Filtration Model for Predicting Full-Scale Rotating Belt Filter Performance in Wastewater Applications. Proceedings of the Water Environment Federation. 2017(7). 4263–4268. 1 indexed citations
13.
DeGroot, Christopher T., et al.. (2016). Drag Reduction Due to Streamwise Grooves in Turbulent Channel Flow. Journal of Fluids Engineering. 138(12). 37 indexed citations
14.
DeGroot, Christopher T. & Anthony G. Straatman. (2015). A Conjugate Fluid–Porous Approach for Simulating Airflow in Realistic Geometric Representations of the Human Respiratory System. Journal of Biomechanical Engineering. 138(3). 4032113–4032113. 6 indexed citations
15.
DeGroot, Christopher T., et al.. (2015). Understanding Primary Treatment Performance and Carbon Diversion Potential of Rotating Belt Filters Using Computational Fluid Dynamics. Proceedings of the Water Environment Federation. 2015(6). 1249–1262. 4 indexed citations
16.
DeGroot, Christopher T. & Anthony G. Straatman. (2012). Towards a porous media model of the human lung. AIP conference proceedings. 69–74. 8 indexed citations
17.
DeGroot, Christopher T.. (2012). Numerical Modelling of Transport in Complex Porous Media: Metal Foams to the Human Lung. Scholarship@Western (Western University). 3 indexed citations
18.
DeGroot, Christopher T. & Anthony G. Straatman. (2012). Numerical Results for the Effective Flow and Thermal Properties of Idealized Graphite Foam. Journal of Heat Transfer. 134(4). 18 indexed citations
19.
DeGroot, Christopher T., et al.. (2009). Thermal characterization of porous graphitic foam – Convection in impinging flow. International Journal of Heat and Mass Transfer. 52(19-20). 4296–4301. 18 indexed citations
20.
DeGroot, Christopher T., et al.. (2009). Modeling ForcedConvection in Finned Metal Foam Heat Sinks. Journal of Electronic Packaging. 131(2). 47 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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