Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Large-eddy simulation of low-frequency unsteadiness in a turbulent shock-induced separation bubble
Citations per year, relative to Neil D. Sandham Neil D. Sandham (= 1×)
peers
Krishnan Mahesh
Countries citing papers authored by Neil D. Sandham
Since
Specialization
Citations
This map shows the geographic impact of Neil D. Sandham'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 Neil D. Sandham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil D. Sandham more than expected).
This network shows the impact of papers produced by Neil D. Sandham. 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 Neil D. Sandham. The network helps show where Neil D. Sandham may publish in the future.
Co-authorship network of co-authors of Neil D. Sandham
This figure shows the co-authorship network connecting the top 25 collaborators of Neil D. Sandham.
A scholar is included among the top collaborators of Neil D. Sandham 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 Neil D. Sandham. Neil D. Sandham is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McHale, Glen, et al.. (2014). Drag Reduction for Flow Past a Perfectly Hydrophobic Surface. Bulletin of the American Physical Society.1 indexed citations
6.
Busse, Angela & Neil D. Sandham. (2013). Turbulent Flow Over Superhydrophobic Surfaces - Roughness Versus Slip. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).4 indexed citations
Sandberg, Richard D. & Neil D. Sandham. (2006). Noise due to unsteady flow past trailing edges. Research Repository (Delft University of Technology).2 indexed citations
10.
Sandberg, Richard D., Loren Jones, & Neil D. Sandham. (2006). A zonal characteristic boundary condition for numerical simulations of aerodynamic sound. ECCOMAS CFD 2006: Proceedings of the European Conference on Computational Fluid Dynamics, Egmond aan Zee, The Netherlands, September 5-8, 2006. 30(3). 69–72.7 indexed citations
11.
Sandberg, Richard D., et al.. (2006). Direct numerical simulation of the flow around an airfoil with unsteady wake. Research Repository (Delft University of Technology).1 indexed citations
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
16.
Sandham, Neil D.. (2001). A review of progress on direct and large-eddy simulation. ePrints Soton (University of Southampton).5 indexed citations
17.
Hu, Zhiwei & Neil D. Sandham. (2001). Large domain simulations of plane Comette and Poiseuille flow. ePrints Soton (University of Southampton).1 indexed citations
18.
Yao, Yufeng, Mark Savill, Neil D. Sandham, & W. N. Dawes. (2000). Simulation of a turbulent trailing-edge flow using unsteady RANS and DNS. ePrints Soton (University of Southampton).2 indexed citations
19.
Sandham, Neil D. & A. Tsinober. (2000). Kinetic energy, enstrophy and strain rate in near-wall turbulence. ePrints Soton (University of Southampton).3 indexed citations
20.
Sandham, Neil D. & Richard Howard. (1998). Direct simulation of turbulence using massively parallel computers. ePrints Soton (University of Southampton).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.