James M. Buick

2.1k total citations
66 papers, 1.5k citations indexed

About

James M. Buick is a scholar working on Computational Mechanics, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, James M. Buick has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Mechanics, 16 papers in Mechanical Engineering and 14 papers in Electrical and Electronic Engineering. Recurrent topics in James M. Buick's work include Lattice Boltzmann Simulation Studies (27 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Fluid Dynamics and Vibration Analysis (13 papers). James M. Buick is often cited by papers focused on Lattice Boltzmann Simulation Studies (27 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Fluid Dynamics and Vibration Analysis (13 papers). James M. Buick collaborates with scholars based in United Kingdom, Australia and France. James M. Buick's co-authors include Clive Greated, J Boyd, Simon Green, John A. Cosgrove, D. Murray Campbell, Jovana Radulović, Steven Green, Paul Stansell, Jean Charles Gilbert and Mohamed Hassan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Expert Systems with Applications.

In The Last Decade

James M. Buick

60 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James M. Buick United Kingdom 18 1.0k 420 340 233 156 66 1.5k
Selman Nas United States 11 1.6k 1.5× 225 0.5× 478 1.4× 131 0.6× 78 0.5× 12 2.0k
Jonathan Clausen United States 11 1.8k 1.7× 766 1.8× 313 0.9× 78 0.3× 175 1.1× 29 2.1k
Alexandr Kuzmin Russia 5 1.4k 1.4× 598 1.4× 279 0.8× 136 0.6× 208 1.3× 12 1.7k
Erlend Magnus Viggen Norway 9 1.5k 1.4× 627 1.5× 294 0.9× 194 0.8× 220 1.4× 28 1.9k
J. Bernsdorf Germany 14 802 0.8× 230 0.5× 148 0.4× 57 0.2× 167 1.1× 26 1.1k
Arif Masud United States 34 2.0k 1.9× 171 0.4× 422 1.2× 231 1.0× 97 0.6× 137 3.5k
Greg W. Burgreen United States 21 509 0.5× 161 0.4× 636 1.9× 134 0.6× 156 1.0× 68 1.6k
Nabeel Al‐Rawahi Oman 13 1.6k 1.6× 343 0.8× 477 1.4× 296 1.3× 160 1.0× 43 2.3k
Mahmood Norouzi Iran 26 839 0.8× 97 0.2× 611 1.8× 578 2.5× 261 1.7× 158 2.2k
Richard Figliola United States 18 441 0.4× 106 0.3× 540 1.6× 482 2.1× 225 1.4× 61 1.6k

Countries citing papers authored by James M. Buick

Since Specialization
Citations

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

Fields of papers citing papers by James M. Buick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Buick. 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 James M. Buick. The network helps show where James M. Buick may publish in the future.

Co-authorship network of co-authors of James M. Buick

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Buick. A scholar is included among the top collaborators of James M. Buick 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 James M. Buick. James M. Buick 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.
Radulović, Jovana, et al.. (2025). Investigation of the Charging and Discharging Cycle of Packed-Bed Storage Tanks for Energy Storage Systems: A Numerical Study. SHILAP Revista de lepidopterología. 5(3). 24–24. 1 indexed citations
2.
McConnell, Michael V., et al.. (2024). Improved Delayed Detached-Eddy Simulation of Turbulent Vortex Shedding in Inert Flow over a Triangular Bluff Body. Fluids. 9(11). 246–246. 4 indexed citations
3.
Radulović, Jovana, et al.. (2024). Packed Bed Thermal Energy Storage System: Parametric Study. SHILAP Revista de lepidopterología. 4(3). 295–314. 5 indexed citations
4.
Radulović, Jovana, et al.. (2023). Pumped Thermal Energy Storage Technology (PTES): Review. SHILAP Revista de lepidopterología. 3(3). 396–411. 18 indexed citations
5.
Radulović, Jovana, et al.. (2023). Comprehensive Review of Liquid Air Energy Storage (LAES) Technologies. Energies. 16(17). 6216–6216. 14 indexed citations
6.
Radulović, Jovana, et al.. (2023). Comprehensive Review of Compressed Air Energy Storage (CAES) Technologies. SHILAP Revista de lepidopterología. 3(1). 104–126. 72 indexed citations
7.
8.
Buick, James M., et al.. (2023). An Improved Design for Flow Conditioning in Waste Water Pipes. SHILAP Revista de lepidopterología. 1(2). 414–425.
9.
Zekonyte, Jurgita, et al.. (2022). Investigating the Effects of H2O Interaction with Rainscreen Façade ACMs During Fire Exposure. Journal of Failure Analysis and Prevention. 22(3). 1252–1259. 2 indexed citations
10.
Radulović, Jovana, et al.. (2021). Investigation of hemodynamic markers for stenosis development. Engineering Reports. 3(10). 4 indexed citations
11.
Hassan, Mohamed, et al.. (2020). Implementing Direct and Indirect Wireline Methods in Determination of Total Organic Carbon: A Case Study from a West African Hydrocarbon Field. SHILAP Revista de lepidopterología. 9(2). 1–12. 2 indexed citations
12.
Buick, James M., et al.. (2016). An LBM based model for initial stenosis development in the carotid artery. Journal of Physics A Mathematical and Theoretical. 49(19). 195602–195602. 7 indexed citations
13.
Buick, James M.. (2011). Physics Assessment and the Development of a Taxonomy. 2(1). 5–10. 6 indexed citations
14.
Boyd, J & James M. Buick. (2008). Three-dimensional modelling of the human carotid artery using the lattice Boltzmann method: I. Model and velocity analysis. Physics in Medicine and Biology. 53(20). 5767–5779. 10 indexed citations
15.
Buick, James M., et al.. (2007). Acoustic lattice Boltzmann model for immiscible binary fluids with a species-dependent impedance. Physical Review E. 76(3). 36713–36713. 12 indexed citations
16.
Boyd, J & James M. Buick. (2007). Comparison of Newtonian and non-Newtonian flows in a two-dimensional carotid artery model using the lattice Boltzmann method. Physics in Medicine and Biology. 52(20). 6215–6228. 39 indexed citations
17.
Cosgrove, John A., James M. Buick, D. Murray Campbell, & Clive Greated. (2004). Numerical simulation of particle motion in an ultrasound field using the lattice Boltzmann model. Ultrasonics. 43(1). 21–25. 25 indexed citations
18.
Boyd, J, James M. Buick, John A. Cosgrove, & Paul Stansell. (2004). Application of the lattice Boltzmann method to arterial flow simulation: Investigation of boundary conditions for complex arterial geometries. Australasian Physical & Engineering Sciences in Medicine. 27(4). 207–212. 32 indexed citations
19.
Cosgrove, John A., et al.. (2003). Evolution of turbulence in an oscillatory flow in a smooth-walled channel: A viscous secondary instability mechanism. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(2). 26302–26302. 6 indexed citations
20.
Cosgrove, John A., James M. Buick, S.D. Pye, & Clive Greated. (2001). PIV applied to Eckart streaming produced by a medical ultrasound transducer. Ultrasonics. 39(6). 461–464. 20 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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