Peter J. Daivis

5.1k total citations
112 papers, 3.8k citations indexed

About

Peter J. Daivis is a scholar working on Biomedical Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Peter J. Daivis has authored 112 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Biomedical Engineering, 50 papers in Materials Chemistry and 30 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Peter J. Daivis's work include Phase Equilibria and Thermodynamics (53 papers), Material Dynamics and Properties (43 papers) and Nanopore and Nanochannel Transport Studies (26 papers). Peter J. Daivis is often cited by papers focused on Phase Equilibria and Thermodynamics (53 papers), Material Dynamics and Properties (43 papers) and Nanopore and Nanochannel Transport Studies (26 papers). Peter J. Daivis collaborates with scholars based in Australia, Denmark and United Kingdom. Peter J. Daivis's co-authors include B. D. Todd, Denis J. Evans, J. S. Hansen, Sridhar Kumar Kannam, Jesper Schmidt Hansen, Karl P. Travis, Gary P. Morriss, Ian K. Snook, Sergio De Luca and D.J. Evans and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Nano Letters.

In The Last Decade

Peter J. Daivis

112 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter J. Daivis Australia 32 2.3k 1.8k 814 658 585 112 3.8k
B. D. Todd Australia 35 2.9k 1.3× 2.4k 1.4× 715 0.9× 923 1.4× 761 1.3× 141 5.1k
Frank van Swol United States 42 2.4k 1.0× 2.7k 1.5× 339 0.4× 756 1.1× 695 1.2× 104 5.8k
Burkhard Dünweg Germany 32 1.3k 0.5× 1.8k 1.0× 672 0.8× 675 1.0× 709 1.2× 73 4.0k
Thierry Biben France 34 1.2k 0.5× 1.2k 0.7× 655 0.8× 308 0.5× 702 1.2× 62 3.2k
Jan K. G. Dhont Germany 44 1.4k 0.6× 3.1k 1.8× 1.0k 1.3× 649 1.0× 810 1.4× 173 5.4k
Andrey Milchev Bulgaria 42 2.1k 0.9× 3.0k 1.7× 437 0.5× 1.3k 2.0× 481 0.8× 232 6.1k
Leslie V. Woodcock United Kingdom 30 1.4k 0.6× 2.7k 1.5× 664 0.8× 808 1.2× 263 0.4× 101 4.0k
Luis G. MacDowell Spain 30 1.6k 0.7× 1.8k 1.0× 450 0.6× 665 1.0× 195 0.3× 99 3.5k
José Alejandre Mexico 34 2.0k 0.9× 1.9k 1.1× 624 0.8× 1.6k 2.5× 138 0.2× 95 4.4k
J. M. V. A. Koelman Netherlands 16 784 0.3× 2.5k 1.4× 579 0.7× 674 1.0× 881 1.5× 29 4.6k

Countries citing papers authored by Peter J. Daivis

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Daivis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Daivis. 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 Peter J. Daivis. The network helps show where Peter J. Daivis may publish in the future.

Co-authorship network of co-authors of Peter J. Daivis

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Daivis. A scholar is included among the top collaborators of Peter J. Daivis 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 Peter J. Daivis. Peter J. Daivis 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.
Smith, Edward R., et al.. (2022). Slip and stress from low shear rate nonequilibrium molecular dynamics: The transient-time correlation function technique. The Journal of Chemical Physics. 156(18). 184111–184111. 6 indexed citations
2.
Daivis, Peter J., et al.. (2017). Dramatic slowing of compositional relaxations in the approach to the glass transition for a bimodal colloidal suspension. Physical review. E. 96(2). 22609–22609. 3 indexed citations
4.
Daivis, Peter J., et al.. (2015). Molecular dynamics simulation study of the static and dynamic properties of a model colloidal suspension with explicit solvent. Molecular Simulation. 42(6-7). 511–521. 3 indexed citations
5.
Hansen, Jesper Schmidt, Jeppe C. Dyre, Peter J. Daivis, B. D. Todd, & Henrik Bruus. (2015). Continuum Nanofluidics. Langmuir. 31(49). 13275–13289. 29 indexed citations
6.
Todd, B. D., et al.. (2014). Nonequilibrium molecular dynamics simulation of dendrimers and hyperbranched polymer melts undergoing planar elongational flow. Journal of Rheology. 58(2). 281–305. 19 indexed citations
7.
Daivis, Peter J., et al.. (2013). Effects of nanoscale density inhomogeneities on shearing fluids. Physical Review E. 88(5). 52143–52143. 12 indexed citations
8.
Daivis, Peter J., et al.. (2011). A three dimensional smooth particle hydrodynamics model of the nanoscale condensation of water. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations
9.
Hansen, J. S., B. D. Todd, & Peter J. Daivis. (2011). Prediction of fluid velocity slip at solid surfaces. Physical Review E. 84(1). 16313–16313. 92 indexed citations
10.
Kannam, Sridhar Kumar, B. D. Todd, J. S. Hansen, & Peter J. Daivis. (2011). Slip flow in graphene nanochannels. The Journal of Chemical Physics. 135(14). 144701–144701. 118 indexed citations
11.
Hansen, Jesper Schmidt, Jeppe C. Dyre, Peter J. Daivis, B. D. Todd, & Henrik Bruus. (2011). Nanoflow hydrodynamics. Physical Review E. 84(3). 36311–36311. 28 indexed citations
12.
Todd, B. D., et al.. (2010). Viscosity kernel of molecular fluids: Butane and polymer melts. Physical Review E. 82(1). 11801–11801. 15 indexed citations
13.
Hansen, Jesper S., Peter J. Daivis, & B. D. Todd. (2009). Viscous properties of isotropic fluids composed of linear molecules: Departure from the classical Navier-Stokes theory in nano-confined geometries. Physical Review E. 80(4). 46322–46322. 17 indexed citations
14.
Todd, B. D., Jesper Schmidt Hansen, & Peter J. Daivis. (2008). Nonlocal Shear Stress for Homogeneous Fluids. Physical Review Letters. 100(19). 195901–195901. 62 indexed citations
15.
Hansen, J. S., B. D. Todd, & Peter J. Daivis. (2008). Dynamical properties of a confined diatomic fluid undergoing zero mean oscillatory flow: Effect of molecular rotation. Physical Review E. 77(6). 66707–66707. 10 indexed citations
16.
Hansen, J. S., Peter J. Daivis, Karl P. Travis, & B. D. Todd. (2007). Parameterization of the nonlocal viscosity kernel for an atomic fluid. Physical Review E. 76(4). 41121–41121. 52 indexed citations
17.
Daivis, Peter J., et al.. (2006). Viscosity of a binary mixture: Approach to the hydrodynamic limit. Physical Review E. 74(3). 31201–31201. 26 indexed citations
18.
Todd, B. D. & Peter J. Daivis. (1997). Elongational viscosities from nonequilibrium molecular dynamics simulations of oscillatory elongational flow. 1 indexed citations
19.
Travis, Karl P., Peter J. Daivis, & Denis J. Evans. (1995). Thermostats for molecular fluids undergoing shear flow: Application to liquid chlorine. The Journal of Chemical Physics. 103(24). 10638–10651. 78 indexed citations
20.
Todd, B. D., Peter J. Daivis, & Denis J. Evans. (1995). Heat flux vector in highly inhomogeneous nonequilibrium fluids. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 51(5). 4362–4368. 74 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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