Co-Authorship and Keyword Networks in Five Decades of Molecular Simulation: A Network Analysis of a Scientific Publication Portfolio

Abstract In the present paper, we illustrate and analyze the coauthorship network of publications authored by Michael L. Klein using standard social network analysis techniques. Beyond presenting and analyzing the author-keyword network assigned to his publications, we also introduce abstract-similarity networks to enable a deeper and broader exploration of the relationships among Michael L. Klein’s publications. The resulting network structures and communities are also interpreted from a chemical perspective, highlighting recurring connections between simulation methodology, force-field development, and major application areas such as aqueous systems, lipid membranes, membrane proteins, and soft-matter self-assembly. More broadly, the study illustrates how network-based approaches can be used to map the organization of a large molecular simulation research program.

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Publication Details

Journal
The Journal of Physical Chemistry B
Published
2026-10-26
DOI
https://doi.org/10.1021/acs.jpcb.6c05147
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00

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article

Co-Authorship and Keyword Networks in Five Decades of Molecular Simulation: A Network Analysis of a Scientific Publication Portfolio

Béla Barabás, Ottília Fülöp, Lívia B. Pártay
The Journal of Physical Chemistry B
scientometrics and bibliometrics research
article

Co-Authorship and Keyword Networks in Five Decades of Molecular Simulation: A Network Analysis of a Scientific Publication Portfolio

Béla Barabás, Ottília Fülöp, Lívia B. Pártay
article en

Abstract

Abstract In the present paper, we illustrate and analyze the coauthorship network of publications authored by Michael L. Klein using standard social network analysis techniques. Beyond presenting and analyzing the author-keyword network assigned to his publications, we also introduce abstract-similarity networks to enable a deeper and broader exploration of the relationships among Michael L. Klein’s publications. The resulting network structures and communities are also interpreted from a chemical perspective, highlighting recurring connections between simulation methodology, force-field development, and major application areas such as aqueous systems, lipid membranes, membrane proteins, and soft-matter self-assembly. More broadly, the study illustrates how network-based approaches can be used to map the organization of a large molecular simulation research program.

The Journal of Physical Chemistry B
HUN-REN Alfréd Rényi Institute of Mathematics (HU), Budapest University of Technology and Economics (HU), University of Warwick (GB), Hungarian Research Network (HU)
National Research, Development and Innovation Office
Openalex Percentile: Top 11%
scientometrics and bibliometrics research
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