Argonne Leadership Computing Facility

27k citations
505 papers ·

Impact in

Papers in

Argonne Leadership Computing Facility

488 papers receiving 27k citations

Peers

Argonne Leadership Computing Facility
Comparison fields: 5 of 196
  • Hardware and Architecture 1.5k
  • Materials Chemistry 6.7k
  • Atomic and Molecular Physics, and Optics 4.8k
  • Statistical and Nonlinear Physics 1.5k
  • Computational Theory and Mathematics 2k
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Argonne Leadership Computing Facility relative to Pittsburgh Supercomputing Center United States Pittsburgh Supercomputing Center's profile →
Citations per field
00.5×2×4×6×7.8×
Pittsburgh Supercomputing Center · 1×
Citations per year

Countries citing scholars working at Argonne Leadership Computing Facility

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Argonne Leadership Computing Facility. 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 papers produced at Argonne Leadership Computing Facility with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Argonne Leadership Computing Facility more than expected).

Fields of papers published by authors at Argonne Leadership Computing Facility

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Argonne Leadership Computing Facility at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Argonne Leadership Computing Facility at the time of their publication.

About Argonne Leadership Computing Facility

In recent decades, authors affiliated with Argonne Leadership Computing Facility have published 505 papers, which have received a total of 27k indexed citations . Scholars at this organization have produced 117 papers in Hardware and Architecture, 65 papers in Nuclear and High Energy Physics, 7 papers in Structural Biology, 95 papers in Atomic and Molecular Physics, and Optics and 28 papers in Physical and Theoretical Chemistry on the topics of Parallel Computing and Optimization Techniques (103 papers), Advanced Chemical Physics Studies (86 papers), Quantum Chromodynamics and Particle Interactions (47 papers), Machine Learning in Materials Science (42 papers), Model Reduction and Neural Networks (27 papers), Protein Structure and Dynamics (23 papers), Advanced Physical and Chemical Molecular Interactions (23 papers) and Distributed and Parallel Computing Systems (20 papers). Their work is cited by papers focused on Hardware and Architecture (1.5k citations), Materials Chemistry (6.7k citations), Atomic and Molecular Physics, and Optics (4.8k citations), Statistical and Nonlinear Physics (1.5k citations) and Computational Theory and Mathematics (2k citations). Authors at Argonne Leadership Computing Facility collaborate with scholars in United States, Switzerland and United Kingdom and have published in prestigious journals including Journal of Chemical Theory and Computation, The Journal of Chemical Physics, Physical Review Letters, The International Journal of High Performance Computing Applications and Physical review. D. Some of Argonne Leadership Computing Facility's most productive authors include O. Anatole von Lilienfeld, Matthias Rupp, Alexandre Tkatchenko, Klaus- Robert Müller, Sunhwan Jo, Wonpil Im, Jumin Lee, Raghunathan Ramakrishnan, Alexander D. MacKerell and Benoı̂t Roux.

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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