Aaron D. Kaplan

2.3k total citations · 1 hit paper
25 papers, 1.1k citations indexed

About

Aaron D. Kaplan is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Aaron D. Kaplan has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 14 papers in Materials Chemistry and 4 papers in Condensed Matter Physics. Recurrent topics in Aaron D. Kaplan's work include Advanced Chemical Physics Studies (11 papers), Machine Learning in Materials Science (9 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Aaron D. Kaplan is often cited by papers focused on Advanced Chemical Physics Studies (11 papers), Machine Learning in Materials Science (9 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Aaron D. Kaplan collaborates with scholars based in United States, United Kingdom and Australia. Aaron D. Kaplan's co-authors include John P. Perdew, Jianwei Sun, Jinliang Ning, James W. Furness, Adrienn Ruzsinszky, Niraj K. Nepal, Manish Kothakonda, Chandra Shahi, Sebastian Ehlert and Jan Gerit Brandenburg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and The Journal of Physical Chemistry C.

In The Last Decade

Aaron D. Kaplan

24 papers receiving 1.1k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accurate and Numerically Efficient r²SCAN Meta-Generalized Gradient Approximation

2020 735 citations James W. Furness, Aaron D. Kaplan et al. The Journal of Physical Chemistry Letters profile →

Peers

Countries citing papers authored by Aaron D. Kaplan

Since Specialization

Citations

This map shows the geographic impact of Aaron D. Kaplan's research. 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 Aaron D. Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron D. Kaplan more than expected).

Fields of papers citing papers by Aaron D. Kaplan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron D. Kaplan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aaron D. Kaplan. The network helps show where Aaron D. Kaplan may publish in the future.

Co-authorship network of co-authors of Aaron D. Kaplan

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron D. Kaplan. A scholar is included among the top collaborators of Aaron D. Kaplan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aaron D. Kaplan. Aaron D. Kaplan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	An Atomistic Study of Reactivity in Solid-State Electrolyte Interphase Formation for Li/Li₇P₃S₁₁	The Journal of Physical Chemistry C	Aaron D. Kaplan, Mingjian Wen et al.	0
2	Cross-functional transferability in foundation machine learning interatomic potentials	npj Computational Materials	Xu Huang, Bowen Deng et al.	2
3	Noncollinear ground states of solids with a source-free exchange correlation functional	Physical review. B.	Matthew K. Horton, Aaron D. Kaplan et al.	1
4	MP-ALOE: an r2SCAN dataset for universal machine learning interatomic potentials	npj Computational Materials	Matthew C. Kuner, Aaron D. Kaplan et al.	3
5	Unconventional Error Cancellation Explains the Success of Hartree–Fock Density Functional Theory for Barrier Heights	The Journal of Physical Chemistry Letters	Aaron D. Kaplan, Chandra Shahi et al.	13
6	CoeffNet : predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural network	Chemical Science	Sudarshan Vijay, Evan Walter Clark Spotte‐Smith et al.	6
7	How Does HF-DFT Achieve Chemical Accuracy for Water Clusters?	Journal of Chemical Theory and Computation	Aaron D. Kaplan, Chandra Shahi et al.	9
8	Symmetry breaking and self-interaction correction in the chromium atom and dimer	The Journal of Chemical Physics	Chandra Shahi, Aaron D. Kaplan et al.	5
9	Revealing quasi-excitations in the low-density homogeneous electron gas with model exchange–correlation kernels	The Journal of Chemical Physics	Aaron D. Kaplan, Adrienn Ruzsinszky	1
10	Understanding Density-Driven Errors for Reaction Barrier Heights	Journal of Chemical Theory and Computation	Aaron D. Kaplan, Chandra Shahi et al.	19
11	Predicting the properties of NiO with density functional theory: Impact of exchange and correlation approximations and validation of the r2SCAN functional	APL Materials	Mark DelloStritto, Aaron D. Kaplan et al.	9
12	QMC-consistent static spin and density local field factors for the uniform electron gas	Physical review. B.	Aaron D. Kaplan, Carl A. Kukkonen	2
13	Precision Møller polarimetry for PREX-2 and CREX	Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment	David E. King, D. Jones et al.	1
14	Laplacian-level meta-generalized gradient approximation for solid and liquid metals	Physical Review Materials	Aaron D. Kaplan, John P. Perdew	19
15	Symmetry Breaking with the SCAN Density Functional Describes Strong Correlation in the Singlet Carbon Dimer	The Journal of Physical Chemistry A	John P. Perdew, Chandra Shahi et al.	16
16	Testing the r²SCAN Density Functional for the Thermodynamic Stability of Solids with and without a van der Waals Correction	ACS Materials Au	Manish Kothakonda, Aaron D. Kaplan et al.	42
17	Workhorse minimally empirical dispersion-corrected density functional with tests for weakly bound systems: r2SCAN+rVV10	Physical review. B.	Jinliang Ning, Manish Kothakonda et al.	62
18	Interpretations of ground-state symmetry breaking and strong correlation in wavefunction and density functional theories	Proceedings of the National Academy of Sciences	John P. Perdew, Adrienn Ruzsinszky et al.	73
19	Construction of meta-GGA functionals through restoration of exact constraint adherence to regularized SCAN functionals	The Journal of Chemical Physics	James W. Furness, Aaron D. Kaplan et al.	37
20	Accurate and Numerically Efficient r²SCAN Meta-Generalized Gradient Approximation breakdown →	The Journal of Physical Chemistry Letters	James W. Furness, Aaron D. Kaplan et al.	735

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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