David R. Emerson

5.2k total citations
165 papers, 4.1k citations indexed

About

David R. Emerson is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering. According to data from OpenAlex, David R. Emerson has authored 165 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computational Mechanics, 56 papers in Applied Mathematics and 30 papers in Aerospace Engineering. Recurrent topics in David R. Emerson's work include Gas Dynamics and Kinetic Theory (56 papers), Fluid Dynamics and Turbulent Flows (41 papers) and Lattice Boltzmann Simulation Studies (34 papers). David R. Emerson is often cited by papers focused on Gas Dynamics and Kinetic Theory (56 papers), Fluid Dynamics and Turbulent Flows (41 papers) and Lattice Boltzmann Simulation Studies (34 papers). David R. Emerson collaborates with scholars based in United Kingdom, China and United States. David R. Emerson's co-authors include Xiao-Jun Gu, Robert W. Barber, Yonghao Zhang, Jason M. Reese, D. Bradley, Benzi John, Duncan A. Lockerby, G.H. Tang, Rongshan Qin and Charles Moulinec and has published in prestigious journals such as Physical Review Letters, Journal of Fluid Mechanics and Physical Review B.

In The Last Decade

David R. Emerson

161 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David R. Emerson United Kingdom 32 2.4k 1.4k 940 836 833 165 4.1k
Jason M. Reese United Kingdom 42 3.0k 1.2× 2.4k 1.7× 952 1.0× 1.1k 1.4× 643 0.8× 169 5.2k
Nagi N. Mansour United States 33 1.3k 0.5× 1.1k 0.8× 778 0.8× 417 0.5× 365 0.4× 141 3.3k
John R. Howell United States 37 3.3k 1.4× 509 0.4× 1.2k 1.3× 774 0.9× 356 0.4× 201 5.6k
Yonghao Zhang China 45 3.3k 1.4× 1.4k 1.0× 617 0.7× 1.6k 1.9× 1.5k 1.8× 245 6.1k
Paul M. Danehy United States 31 2.6k 1.1× 1.1k 0.8× 1.1k 1.1× 181 0.2× 505 0.6× 286 3.8k
F. T. Smith United Kingdom 36 3.8k 1.6× 232 0.2× 948 1.0× 415 0.5× 474 0.6× 249 4.8k
Duncan A. Lockerby United Kingdom 27 1.3k 0.5× 849 0.6× 343 0.4× 633 0.8× 287 0.3× 104 2.2k
Ehsan Roohi Iran 38 2.2k 0.9× 1.9k 1.4× 1.1k 1.2× 647 0.8× 474 0.6× 144 4.0k
С.С. Сажин United Kingdom 45 4.5k 1.8× 257 0.2× 907 1.0× 1.9k 2.2× 1.0k 1.2× 372 6.9k
William J. Rider United States 26 3.6k 1.5× 354 0.3× 548 0.6× 316 0.4× 257 0.3× 73 4.2k

Countries citing papers authored by David R. Emerson

Since Specialization
Citations

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

Fields of papers citing papers by David R. Emerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Emerson. 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 David R. Emerson. The network helps show where David R. Emerson may publish in the future.

Co-authorship network of co-authors of David R. Emerson

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Emerson. A scholar is included among the top collaborators of David R. Emerson 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 David R. Emerson. David R. Emerson 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.
Chappell, J., Emily Archer, Nicolas Bourgeois, et al.. (2024). Resonant excitation of plasma waves in a plasma channel. Physical Review Research. 6(2). 2 indexed citations
2.
Chappell, J., Emily Archer, Nicolas Bourgeois, et al.. (2023). All-Optical GeV Electron Bunch Generation in a Laser-Plasma Accelerator via Truncated-Channel Injection. Physical Review Letters. 131(24). 245001–245001. 11 indexed citations
3.
Liu, Wendi, et al.. (2022). On the Efficacy of Turbulence Modelling for Sloshing. Applied Sciences. 12(17). 8851–8851. 3 indexed citations
4.
Liu, Wendi, et al.. (2022). Simulating Slosh Induced Damping, with Application to Aircraft Wing-like Structures. Applied Sciences. 12(17). 8481–8481. 1 indexed citations
5.
Fang, Jian, et al.. (2020). On the turbulence amplification in shock-wave/turbulent boundary layer interaction. Journal of Fluid Mechanics. 897. 73 indexed citations
6.
Fang, Jian, et al.. (2019). An Iterative Machine-Learning Framework for Turbulence Modeling in RANS. arXiv (Cornell University). 2 indexed citations
7.
Gu, Xiao-Jun, et al.. (2019). Comparative study of the discrete velocity and the moment method for rarefied gas flows. AIP conference proceedings. 2132. 120006–120006. 2 indexed citations
8.
Meng, Jianping, Xiao-Jun Gu, David R. Emerson, Yong Peng, & Jianmin Zhang. (2018). Discrete Boltzmann model of shallow water equations with polynomial equilibria. Science and Technology Facilities Council. 5 indexed citations
9.
Longshaw, Stephen, Matthew K. Borg, Srinivasa B. Ramisetti, et al.. (2017). mdFoam+: Advanced molecular dynamics in OpenFOAM. Computer Physics Communications. 224. 1–21. 19 indexed citations
10.
Tromeur-Dervout, Damien, Günther Brenner, David R. Emerson, & Jocelyne Erhel. (2012). Parallel Computational Fluid Dynamics 2008: Parallel Numerical Methods, Software Development and Applications. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
11.
Emerson, David R. & Bruno Parolin. (2011). Time Cost Measurement of Travel in Sydney and Implications for Public Transport Patronage Potential. Transport Research Forum. 34(234). 1 indexed citations
12.
Hogg, Peter W., Xiao-Jun Gu, & David R. Emerson. (2006). An Implicit Algorithm for Capturing Sharp Fluid Interfaces in the Volume of Fluid Advection Method. Research Repository (Delft University of Technology). 6 indexed citations
13.
Deane, Anil E., Günther Brenner, A. Ecer, et al.. (2006). Parallel Computational Fluid Dynamics 2005: Theory and Applications. CERN Document Server (European Organization for Nuclear Research). 23 indexed citations
14.
Emerson, David R., et al.. (2006). Micro-scale cavities in the slip- and transition-flow regimes. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 indexed citations
15.
Kaneda, Noriaki, Thomas Jung, Sagi Mathai, et al.. (2003). High speed velocity-matched distributed photodetectors. 2. 834–835.
16.
Barber, Robert W. & David R. Emerson. (2002). The Influence Of Knudsen Number On The Hydrodynamic Development Length Within Parallel Plate Micro-channels. WIT transactions on engineering sciences. 36. 37 indexed citations
17.
Ashworth, Mike, David R. Emerson, Neil D. Sandham, Yufeng Yao, & Qinling Li. (2001). Parallel DNS Using a Compressible Turbulent Channel Flow Benchmark. ePrints Soton (University of Southampton). 5 indexed citations
18.
Yao, Yufeng, et al.. (2000). Massively parallel simulation of shock/boundary-layer interactions. Journal of Theoretical Biology. 262(1). 151–64. 8 indexed citations
19.
Emerson, David R., et al.. (1998). Parallel Computational Fluid Dynamics: Recent Developments and Advances Using Parallel Computers. 11 indexed citations
20.
Emerson, David R. & D. I. A. Poll. (1990). Computation of laminar flow over cavities. PhDT. 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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