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.
Fast Parallel Algorithms for Short-Range Molecular Dynamics
199536.3k citationsSteven J. PlimptonJournal of Computational Physicsprofile →
LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales
20216.9k citationsAidan P. Thompson, Hasan Metin Aktulga et al.Computer Physics Communicationsprofile →
Dislocation nucleation and defect structure during surface indentation
19981.8k citationsSteven J. Plimpton et al.profile →
Dynamical Heterogeneities in a Supercooled Lennard-Jones Liquid
1997812 citationsSteven J. Plimpton et al.profile →
Stringlike Cooperative Motion in a Supercooled Liquid
1998795 citationsSteven J. Plimpton et al.profile →
General formulation of pressure and stress tensor for arbitrary many-body interaction potentials under periodic boundary conditions
2009788 citationsAidan P. Thompson, Steven J. Plimpton et al.profile →
Granular flow down an inclined plane: Bagnold scaling and rheology
2001779 citationsLeonardo E. Silbert, Gary S. Grest et al.profile →
Implementing molecular dynamics on hybrid high performance computers – short range forces
2010536 citationsWilliam M. Brown, Steven J. Plimpton et al.Computer Physics Communicationsprofile →
Li‐Ion Synaptic Transistor for Low Power Analog Computing
2016504 citationsSteven J. Plimpton et al.profile →
Implementing molecular dynamics on hybrid high performance computers – Particle–particle particle-mesh
2011377 citationsWilliam M. Brown, Axel Kohlmeyer et al.Computer Physics Communicationsprofile →
Direct simulation Monte Carlo on petaflop supercomputers and beyond
2019222 citationsSteven J. Plimpton, Stan Moore et al.Physics of Fluidsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Steven J. Plimpton
Since
Specialization
Citations
This map shows the geographic impact of Steven J. Plimpton'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 Steven J. Plimpton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven J. Plimpton more than expected).
Fields of papers citing papers by Steven J. Plimpton
This network shows the impact of papers produced by Steven J. Plimpton. 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 Steven J. Plimpton. The network helps show where Steven J. Plimpton may publish in the future.
Co-authorship network of co-authors of Steven J. Plimpton
This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Plimpton.
A scholar is included among the top collaborators of Steven J. Plimpton 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 Steven J. Plimpton. Steven J. Plimpton 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.
Plimpton, Steven J., et al.. (2024). Load-Balancing and Performance of a Gridless Particle Simulation on MIMD, SIMD, and Vector Supercomputers. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
Grest, Gary S., Ting Ge, Steven J. Plimpton, Michael Rubinstein, & Thomas C. O’Connor. (2022). Entropic Mixing of Ring/Linear Polymer Blends. ACS Polymers Au. 3(2). 209–216.19 indexed citations
Thompson, Aidan P., Hasan Metin Aktulga, Richard Berger, et al.. (2021). LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales. Computer Physics Communications. 271. 108171–108171.6890 indexed citations breakdown →
Plimpton, Steven J., Stan Moore, Arnaud Borner, et al.. (2019). Direct simulation Monte Carlo on petaflop supercomputers and beyond. Physics of Fluids. 31(8).222 indexed citations breakdown →
Gallis, M. A., J. R. Torczynski, Steven J. Plimpton, Daniel J. Rader, & Timothy Koehler. (2014). Direct simulation Monte Carlo: The quest for speed. AIP conference proceedings. 1628. 27–36.110 indexed citations
Brown, William M., Axel Kohlmeyer, Steven J. Plimpton, & Arnold Tharrington. (2011). Implementing molecular dynamics on hybrid high performance computers – Particle–particle particle-mesh. Computer Physics Communications. 183(3). 449–459.377 indexed citations breakdown →
Landry, James W., Gary S. Grest, & Steven J. Plimpton. (2003). Forces in Granular Hopper Flow. APS. 2003.2 indexed citations
17.
Plimpton, Steven J., et al.. (2002). Development and Performance of a PVM Based Parallel Geometric Modeler for MEMS. TechConnect Briefs. 1(2002). 218–221.2 indexed citations
18.
Hendrickson, Bruce, et al.. (2001). Identifying Strongly Connected Components in Parallel.. PPSC.2 indexed citations
19.
Plimpton, Steven J., et al.. (1997). Particle-Mesh Ewald and rRESPA for Parallel Molecular Dynamics Simulations.. PPSC.181 indexed citations
20.
Plimpton, Steven J.. (1995). Fast Parallel Algorithms for Short-Range Molecular Dynamics. Journal of Computational Physics. 117(1). 1–19.36280 indexed citations breakdown →
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.