GROMACS 3.0: a package for molecular simulation and trajectory analysis

6.0k indexed citations

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This paper, published in 2001, received 6.0k indexed citations. Written by Erik Lindahl, Berk Hess and David van der Spoel covering the research area of Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Spectroscopy. It is primarily cited by scholars working on Molecular Biology (3.4k citations), Materials Chemistry (1.3k citations) and Atomic and Molecular Physics, and Optics (1.2k citations). Published in Journal of Molecular Modeling.

Countries where authors are citing GROMACS 3.0: a package for molecular simulation and trajectory analysis

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This map shows the geographic impact of GROMACS 3.0: a package for molecular simulation and trajectory analysis. 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 GROMACS 3.0: a package for molecular simulation and trajectory analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GROMACS 3.0: a package for molecular simulation and trajectory analysis more than expected).

Fields of papers citing GROMACS 3.0: a package for molecular simulation and trajectory analysis

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of GROMACS 3.0: a package for molecular simulation and trajectory analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the GROMACS 3.0: a package for molecular simulation and trajectory analysis.

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.

This paper is also available at doi.org/10.1007/s008940100045.

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