Journal of Computational Chemistry

Papers
(The H4-Index of Journal of Computational Chemistry is 24. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
402
156
108
Issue Information81
Potential energy surfaces and dynamic properties via ab initio composite and density functional approaches78
70
K 4 Carbon Modifications by Modulating Phonon Eigenvectors62
FFLUX molecular simulations driven by atomic Gaussian process regression models58
Front Cover57
Improving the reliability of machine learned potentials for modeling inhomogeneous liquids55
Energy and Real Space Characteristics of Non‐Covalent Interactions Across the Periodic Table46
Front Cover38
Quantification of Lewis Acidity and Lewis Basicity: A Density‐Based Reactivity Theory Study35
Expanding horizons in conceptual density functional theory: Novel ensembles and descriptors to decipher reactivity patterns33
Ab initiostudies of counterion effects in molecular quantum‐dot cellular automata33
Alanine boronic acid functionalized UiO‐66 MOF as a nanoreactor for the conversion of CO2 into formic acid32
REGCCSD (T): A New Efficient CCSD (T) Approach Accelerated by th32
Accurate and Cost‐Efficient DLPNOCCSD(T)‐Based Feller‐Peterson‐Dixon Protocols Calibrated on Association Reactions of Li+ Ion With Mixed Organic Carbonates31
Molecular dynamics of liquid–electrode interface by integrating Coulomb interaction into universal neural network potential30
Chemical bonding in Uranium‐based materials: A local vibrational mode case study of Cs 2UO 2Cl 4 and UCl 4 crystals29
A Thorough Systematic Conformational Study of an Experimentally Known Lantern‐Like Superphane29
Reactive orbital energy theory serving a theoretical foundation for the electronic theory of organic chemistry28
Microcanonical Rate Constants With Rice–Ramsperger–Kassel–Marcus in Eyringpy28
Producing chemically accurate atomic Gaussian process regression models by active learning for molecular simulation24
A density fitting scheme for the fast evaluation of molecular electrostatic potential24
Ca 2 B 18 —A Bicapped Double‐Ring Bor24
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