Joshua A. Anderson

Molecular Biology · 2008–2014

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 11 citations into it
• Materials Chemistry — 10 citations into it
• Computer Networks and Communications — 7 citations into it; #3,627 of 9,886 by trust here, #3,318 by citations
• Hardware and Architecture — 6 citations into it; #411 of 1,551 by trust here, #397 by citations
• Atomic and Molecular Physics, and Optics — 5 citations into it

Whom Joshua A. Anderson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. S. Plimpton
2. M. G. Martin
3. James C. Phillips
4. John E. Stone
5. Jens Glaser
6. Rosemary Braun
7. C. Lorenz
8. Wei Wang
9. K. Jarrod Millman

Who trusts Joshua A. Anderson overall

1. Sam Schoenholz
2. Andrea Ninarello
3. Ekin Dogus Cubuk
4. John E. Stone
5. Szilárd Páll
6. Amil Merchant
7. Jens Glaser
8. Sharon C. Glotzer
9. Ludovic Berthier
10. Ivan S. Ufimtsev

Papers from Joshua A. Anderson's perspective

Ordered by how strongly the researchers Joshua A. Anderson trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fast parallel algorithms for short-range molecular dynamics
2. General purpose molecular dynamics simulations fully implemented on graphics processing units (Journal of Computational Physics)
3. XSEDE: Accelerating Scientific Discovery
4. Python for Scientists and Engineers
5. ESPResSo - an extensible simulation package for research on soft matter systems (Computer Physics Communications)
6. Analysis of the Clustering Properties of the Hilbert Space-Filling Curve (IEEE Transactions on Knowledge and Data Engineering)
7. MCCCS Towhee: a tool for Monte Carlo molecular simulation
8. Strong scaling of general-purpose molecular dynamics simulations on GPUs (Computer Physics Communications)
9. Structural relaxation made simple. (Physical Review Letters)
10. ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance

Their papers

• Strong scaling of general-purpose molecular dynamics simulations on GPUs (2014) — 611 citations
• HOOMD-blue: A Python package for high-performance molecular dynamics and hard particle Monte Carlo simulations (2013) — 611 citations
• General purpose molecular dynamics simulations fully implemented on graphics processing units (2008) — 1,461 citations