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

align trajectories

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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aaron D. Kaplan United States	11	595	405	239	188	166	25	1.1k
Sergey Peredkov Germany	15	489 0.8×	468 1.2×	214 0.9×	144 0.8×	134 0.8×	47	1.2k
Sijie Luo United States	10	477 0.8×	520 1.3×	177 0.7×	151 0.8×	133 0.8×	16	993
J. Rittmann Switzerland	18	512 0.9×	399 1.0×	222 0.9×	186 1.0×	106 0.6×	31	990
James W. Furness United States	18	781 1.3×	578 1.4×	294 1.2×	415 2.2×	176 1.1×	27	1.6k
Quan Manh Phung Japan	19	521 0.9×	363 0.9×	236 1.0×	268 1.4×	299 1.8×	64	1.1k
Arup Banerjee India	19	725 1.2×	640 1.6×	200 0.8×	219 1.2×	84 0.5×	92	1.4k
Jürgen Wieferink Germany	7	527 0.9×	500 1.2×	290 1.2×	94 0.5×	87 0.5×	9	918
K. Ramesh Babu India	17	482 0.8×	345 0.9×	169 0.7×	162 0.9×	122 0.7×	49	1.0k
Marcela R. Beltrán Mexico	18	1.1k 1.9×	470 1.2×	275 1.2×	373 2.0×	83 0.5×	41	1.4k
Roberto Rivelino Brazil	29	1.0k 1.8×	535 1.3×	312 1.3×	148 0.8×	86 0.5×	84	1.7k

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

Kaplan, Aaron D., et al.. (2025). An Atomistic Study of Reactivity in Solid-State Electrolyte Interphase Formation for Li/Li₇P₃S₁₁. The Journal of Physical Chemistry C. 129(36). 16043–16054.

Huang, Xu, Bowen Deng, Peichen Zhong, et al.. (2025). Cross-functional transferability in foundation machine learning interatomic potentials. npj Computational Materials. 11(1). 2 indexed citations

Horton, Matthew K., et al.. (2025). Noncollinear ground states of solids with a source-free exchange correlation functional. Physical review. B.. 111(9). 1 indexed citations

Kuner, Matthew C., Aaron D. Kaplan, Kristin A. Persson, Mark Asta, & D. C. Chrzan. (2025). MP-ALOE: an r2SCAN dataset for universal machine learning interatomic potentials. npj Computational Materials. 11(1). 3 indexed citations

Kaplan, Aaron D., et al.. (2024). Unconventional Error Cancellation Explains the Success of Hartree–Fock Density Functional Theory for Barrier Heights. The Journal of Physical Chemistry Letters. 15(1). 323–328. 13 indexed citations

Vijay, Sudarshan, et al.. (2024). CoeffNet : predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural network. Chemical Science. 15(8). 2923–2936. 6 indexed citations

Kaplan, Aaron D., et al.. (2024). How Does HF-DFT Achieve Chemical Accuracy for Water Clusters?. Journal of Chemical Theory and Computation. 20(13). 5517–5527. 9 indexed citations

Shahi, Chandra, et al.. (2024). Symmetry breaking and self-interaction correction in the chromium atom and dimer. The Journal of Chemical Physics. 160(14). 5 indexed citations

Kaplan, Aaron D. & Adrienn Ruzsinszky. (2023). Revealing quasi-excitations in the low-density homogeneous electron gas with model exchange–correlation kernels. The Journal of Chemical Physics. 159(22). 1 indexed citations

10.

Kaplan, Aaron D., et al.. (2023). Understanding Density-Driven Errors for Reaction Barrier Heights. Journal of Chemical Theory and Computation. 19(2). 532–543. 19 indexed citations

11.

DelloStritto, Mark, Aaron D. Kaplan, John P. Perdew, & Michael L. Klein. (2023). Predicting the properties of NiO with density functional theory: Impact of exchange and correlation approximations and validation of the r2SCAN functional. APL Materials. 11(6). 9 indexed citations

12.

Kaplan, Aaron D. & Carl A. Kukkonen. (2023). QMC-consistent static spin and density local field factors for the uniform electron gas. Physical review. B.. 107(20). 2 indexed citations

13.

King, David E., D. Jones, C. Gal, et al.. (2022). Precision Møller polarimetry for PREX-2 and CREX. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1045. 167506–167506. 1 indexed citations

14.

Kaplan, Aaron D. & John P. Perdew. (2022). Laplacian-level meta-generalized gradient approximation for solid and liquid metals. Physical Review Materials. 6(8). 19 indexed citations

15.

Perdew, John P., et al.. (2022). Symmetry Breaking with the SCAN Density Functional Describes Strong Correlation in the Singlet Carbon Dimer. The Journal of Physical Chemistry A. 127(1). 384–389. 16 indexed citations

16.

Kothakonda, Manish, Aaron D. Kaplan, Eric B. Isaacs, et al.. (2022). Testing the r²SCAN Density Functional for the Thermodynamic Stability of Solids with and without a van der Waals Correction. ACS Materials Au. 3(2). 102–111. 42 indexed citations

17.

Ning, Jinliang, Manish Kothakonda, James W. Furness, et al.. (2022). Workhorse minimally empirical dispersion-corrected density functional with tests for weakly bound systems: r2SCAN+rVV10. Physical review. B.. 106(7). 62 indexed citations

18.

Perdew, John P., Adrienn Ruzsinszky, Jianwei Sun, Niraj K. Nepal, & Aaron D. Kaplan. (2021). Interpretations of ground-state symmetry breaking and strong correlation in wavefunction and density functional theories. Proceedings of the National Academy of Sciences. 118(4). 73 indexed citations

19.

Furness, James W., Aaron D. Kaplan, Jinliang Ning, John P. Perdew, & Jianwei Sun. (2021). Construction of meta-GGA functionals through restoration of exact constraint adherence to regularized SCAN functionals. The Journal of Chemical Physics. 156(3). 34109–34109. 37 indexed citations

20.

Furness, James W., Aaron D. Kaplan, Jinliang Ning, John P. Perdew, & Jianwei Sun. (2020). Accurate and Numerically Efficient r²SCAN Meta-Generalized Gradient Approximation. The Journal of Physical Chemistry Letters. 11(19). 8208–8215. 735 indexed citations breakdown →

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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