James Guilkey

2.2k total citations
51 papers, 1.6k citations indexed

About

James Guilkey is a scholar working on Computational Mechanics, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, James Guilkey has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Mechanics, 20 papers in Mechanics of Materials and 9 papers in Materials Chemistry. Recurrent topics in James Guilkey's work include Fluid Dynamics Simulations and Interactions (30 papers), Numerical methods in engineering (17 papers) and Lattice Boltzmann Simulation Studies (9 papers). James Guilkey is often cited by papers focused on Fluid Dynamics Simulations and Interactions (30 papers), Numerical methods in engineering (17 papers) and Lattice Boltzmann Simulation Studies (9 papers). James Guilkey collaborates with scholars based in United States, British Virgin Islands and Russia. James Guilkey's co-authors include Jeffrey A. Weiss, Rebecca M. Brannon, Todd Harman, Alireza Sadeghirad, Scott Bardenhagen, James B. Hoying, Lowell T. Edgar, Keith M. Roessig, J. U. Brackbill and Joseph C. Foster and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

James Guilkey

48 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 Guilkey United States 21 1.0k 646 255 215 208 51 1.6k
Sangpil Yoon United States 19 906 0.9× 1.5k 2.3× 485 1.9× 181 0.8× 556 2.7× 40 2.2k
Daniel Millán Spain 18 453 0.4× 802 1.2× 229 0.9× 440 2.0× 148 0.7× 26 1.7k
Richard A. Regueiro United States 23 517 0.5× 1.1k 1.6× 937 3.7× 322 1.5× 187 0.9× 71 1.9k
Liping Liu United States 22 272 0.3× 403 0.6× 274 1.1× 367 1.7× 494 2.4× 85 1.6k
Martin H. Sadd United States 20 341 0.3× 1.1k 1.7× 875 3.4× 372 1.7× 218 1.0× 52 2.1k
Chunfeng Zhao China 31 186 0.2× 235 0.4× 1.2k 4.9× 491 2.3× 283 1.4× 122 2.4k
Michel Bercovier Israel 21 1.6k 1.5× 327 0.5× 101 0.4× 40 0.2× 253 1.2× 62 2.1k
Qing Zhang China 24 258 0.3× 1.1k 1.8× 1.0k 4.0× 162 0.8× 51 0.2× 120 2.5k
Xiaohu Liu China 19 162 0.2× 376 0.6× 212 0.8× 197 0.9× 220 1.1× 87 1.1k

Countries citing papers authored by James Guilkey

Since Specialization
Citations

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

Fields of papers citing papers by James Guilkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Guilkey

This figure shows the co-authorship network connecting the top 25 collaborators of James Guilkey. A scholar is included among the top collaborators of James Guilkey 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 Guilkey. James Guilkey 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.
Guilkey, James, et al.. (2023). Cohesive zones to model bonding in granular material with the material point method. Computer Methods in Applied Mechanics and Engineering. 415. 116260–116260. 5 indexed citations
2.
3.
Tran, Quoc Anh, Wojciech T. Sołowski, Martin Berzins, & James Guilkey. (2019). A convected particle least square interpolation material point method. International Journal for Numerical Methods in Engineering. 121(6). 1068–1100. 20 indexed citations
4.
Guilkey, James, et al.. (2019). A convected-particle tetrahedron interpolation technique in the material-point method for the mesoscale modeling of ceramics. Computational Mechanics. 64(3). 563–583. 8 indexed citations
5.
Edgar, Lowell T., Steve A. Maas, James Guilkey, & Jeffrey A. Weiss. (2014). A coupled model of neovessel growth and matrix mechanics describes and predicts angiogenesis in vitro. Biomechanics and Modeling in Mechanobiology. 14(4). 767–782. 20 indexed citations
6.
Edgar, Lowell T., Clayton J. Underwood, James Guilkey, James B. Hoying, & Jeffrey A. Weiss. (2014). Extracellular Matrix Density Regulates the Rate of Neovessel Growth and Branching in Sprouting Angiogenesis. PLoS ONE. 9(1). e85178–e85178. 112 indexed citations
7.
Edgar, Lowell T., Scott C. Sibole, Clayton J. Underwood, James Guilkey, & Jeffrey A. Weiss. (2012). A computational model ofin vitroangiogenesis based on extracellular matrix fibre orientation. Computer Methods in Biomechanics & Biomedical Engineering. 16(7). 790–801. 27 indexed citations
8.
McLennan, John, et al.. (2011). Numerical Modeling of Quasi-Static Rock Testing. 1 indexed citations
9.
Tew, Kevin, et al.. (2011). GPU Acceleration of the Generalized Interpolation Material Point Method. 3 indexed citations
10.
Guilkey, James, et al.. (2010). Enhanced Understanding of Particle Simulations Through Deformation-Based Visualization. Computer Modeling in Engineering & Sciences. 63(2). 117–136. 1 indexed citations
11.
Thomas, Susan N., Tim Ameel, & James Guilkey. (2010). Mixing kinematics of moderate Reynolds number flows in a T-channel. Physics of Fluids. 22(1). 49 indexed citations
12.
Steffen, Michael, et al.. (2008). Examination and Analysis of Implementation Choices within the Material Point Method (MPM). Computer Modeling in Engineering & Sciences. 31(2). 107–128. 74 indexed citations
13.
Guilkey, James, et al.. (2007). Improved Velocity Projection for the Material Point Method. Computer Modeling in Engineering & Sciences. 19(3). 223–232. 37 indexed citations
14.
Guilkey, James, James B. Hoying, & Jeffrey A. Weiss. (2005). Computational modeling of multicellular constructs with the material point method. Journal of Biomechanics. 39(11). 2074–2086. 53 indexed citations
15.
Harman, Todd, James Guilkey, B. A. Kashiwa, John A. Schmidt, & Patrick McMurtry. (2003). An Eulerian-Lagrangian Approach For Large Deformation Fluid StructureInteraction Problems, Part 2: Multi-physics Simulations Within A ModemComputational Framework. WIT transactions on the built environment. 71. 22 indexed citations
16.
Guilkey, James, Todd Harman, Ke‐Qing Xia, B. A. Kashiwa, & Patrick McMurtry. (2003). An Eulerian-Lagrangian Approach For Large Deformation Fluid StructureInteraction Problems, Part 1 : Algorithm Development. WIT transactions on the built environment. 71. 30 indexed citations
17.
Bardenhagen, Scott, et al.. (2001). An Improved Contact Algorithm for the Material Point Method and Application to Stress Propagation in Granular Material. Computer Modeling in Engineering & Sciences. 2(4). 509–522. 195 indexed citations
18.
Guilkey, James, Alan R. Kerstein, Patrick McMurtry, & Joseph Klewicki. (1997). Mixing mechanisms in turbulent pipe flow. Physics of Fluids. 9(3). 717–723. 13 indexed citations
19.
Guilkey, James, Alan R. Kerstein, Patrick McMurtry, & Joseph Klewicki. (1997). Long-tailed probability distributions in turbulent-pipe-flow mixing. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 56(2). 1753–1758. 5 indexed citations
20.
Guilkey, James, et al.. (1995). Caged-fluorescent-dye-based studies of turbulent scalar mixing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2546. 160–160. 1 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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