A. Eugene DePrince

6.6k total citations · 1 hit paper
76 papers, 2.2k citations indexed

About

A. Eugene DePrince is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Spectroscopy. According to data from OpenAlex, A. Eugene DePrince has authored 76 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Atomic and Molecular Physics, and Optics, 19 papers in Materials Chemistry and 14 papers in Spectroscopy. Recurrent topics in A. Eugene DePrince's work include Advanced Chemical Physics Studies (42 papers), Spectroscopy and Quantum Chemical Studies (30 papers) and Machine Learning in Materials Science (12 papers). A. Eugene DePrince is often cited by papers focused on Advanced Chemical Physics Studies (42 papers), Spectroscopy and Quantum Chemical Studies (30 papers) and Machine Learning in Materials Science (12 papers). A. Eugene DePrince collaborates with scholars based in United States, Australia and Canada. A. Eugene DePrince's co-authors include Daniel R. Nascimento, C. David Sherrill, David A. Mazziotti, Xiaosong Li, Jeff R. Hammond, Stephen K. Gray, Kenneth A. Lopata, Niranjan Govind, Christine M. Isborn and Marcus D. Liebenthal and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

A. Eugene DePrince

73 papers receiving 2.2k citations

Hit Papers

Real-Time Time-Dependent Electronic Structure Theory 2020 2026 2022 2024 2020 50 100 150

Peers

A. Eugene DePrince
Qiming Sun United States
Susi Lehtola Finland
Xavier Andrade United States
Sheng Guo China
Qiming Sun United States
A. Eugene DePrince
Citations per year, relative to A. Eugene DePrince A. Eugene DePrince (= 1×) peers Qiming Sun

Countries citing papers authored by A. Eugene DePrince

Since Specialization
Citations

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

Fields of papers citing papers by A. Eugene DePrince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Eugene DePrince. 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 A. Eugene DePrince. The network helps show where A. Eugene DePrince may publish in the future.

Co-authorship network of co-authors of A. Eugene DePrince

This figure shows the co-authorship network connecting the top 25 collaborators of A. Eugene DePrince. A scholar is included among the top collaborators of A. Eugene DePrince 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 A. Eugene DePrince. A. Eugene DePrince is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liao, Can, Shiv Upadhyay, Hang Hu, et al.. (2025). Numerically exact configuration interaction at quadrillion-determinant scale. Nature Communications. 16(1). 11016–11016.
2.
DePrince, A. Eugene, et al.. (2025). Static Electric Dipole Polarizability and Hyperpolarizability Tensors from Mean-Field Cavity Quantum Electrodynamics Approaches. The Journal of Physical Chemistry A. 129(34). 8024–8033.
3.
Li, Run R., et al.. (2025). Two-component relativistic equation-of-motion coupled cluster for electron ionization. The Journal of Chemical Physics. 162(8). 3 indexed citations
4.
Li, Run R., et al.. (2025). Relativistic two-component double ionization potential equation-of-motion coupled cluster with the Dirac–Coulomb–Breit Hamiltonian. The Journal of Chemical Physics. 163(10). 1 indexed citations
5.
DePrince, A. Eugene, et al.. (2025). Comparing perturbative and commutator-rank-based truncation schemes in unitary coupled-cluster theory. Molecular Physics. 123(19-20). 2 indexed citations
6.
Li, Run R., et al.. (2024). Relativistic Coupled Cluster with Completely Renormalized and Perturbative Triples Corrections. The Journal of Physical Chemistry A. 128(31). 6521–6539. 5 indexed citations
7.
Rubin, Nicholas C., Dominic W. Berry, Fionn D. Malone, et al.. (2023). Fault-Tolerant Quantum Simulation of Materials Using Bloch Orbitals. PRX Quantum. 4(4). 24 indexed citations
8.
Foley, Jonathan J., et al.. (2023). Ab initio methods for polariton chemistry. Chemical Physics Reviews. 4(4). 37 indexed citations
9.
DePrince, A. Eugene, et al.. (2023). N-representability violations in truncated equation-of-motion coupled-cluster methods. The Journal of Chemical Physics. 159(5). 3 indexed citations
10.
Cortes, Cristian L., A. Eugene DePrince, & Stephen K. Gray. (2022). Fast-forwarding quantum simulation with real-time quantum Krylov subspace algorithms. Physical review. A. 106(4). 5 indexed citations
11.
Li, Run R., Xinsong Lin, Geoffrey F. Strouse, et al.. (2022). Design and Synthesis of Kekulè and Non-Kekulè Diradicaloids via the Radical Periannulation Strategy: The Power of Seven Clar’s Sextets. Journal of the American Chemical Society. 144(51). 23448–23464. 23 indexed citations
12.
Li, Xiaosong, Niranjan Govind, Christine M. Isborn, A. Eugene DePrince, & Kenneth A. Lopata. (2020). Real-Time Time-Dependent Electronic Structure Theory. Chemical Reviews. 120(18). 9951–9993. 180 indexed citations breakdown →
13.
Hapka, Michał, et al.. (2020). Reduced Density Matrix-Driven Complete Active Apace Self-Consistent Field Corrected for Dynamic Correlation from the Adiabatic Connection. Journal of Chemical Theory and Computation. 16(7). 4351–4360. 10 indexed citations
14.
Mullinax, J. Wayne, et al.. (2019). Heterogeneous CPU + GPU Algorithm for Variational Two-Electron Reduced-Density Matrix-Driven Complete Active-Space Self-Consistent Field Theory. Journal of Chemical Theory and Computation. 15(11). 6164–6178. 25 indexed citations
15.
Cary, Samantha K., Monica Vasiliu, Ryan Baumbach, et al.. (2015). Emergence of californium as the second transitional element in the actinide series. Nature Communications. 6(1). 6827–6827. 107 indexed citations
16.
Miller, Ryan, A. Eugene DePrince, Alexandra Joshi‐Imre, et al.. (2012). Plasmonic Amplifiers: Engineering Giant Light Enhancements by Tuning Resonances in Multiscale Plasmonic Nanostructures. Small. 9(11). 1939–1946. 19 indexed citations
17.
DePrince, A. Eugene & David A. Mazziotti. (2012). Connection of an elementary class of parametric two-electron reduced-density-matrix methods to the coupled electron-pair approximations. Molecular Physics. 110(15-16). 1917–1925. 6 indexed citations
18.
DePrince, A. Eugene, Matthew Pelton, Jeffrey R. Guest, & Stephen K. Gray. (2011). Emergence of Excited-State Plasmon Modes in Linear Hydrogen Chains from Time-Dependent Quantum Mechanical Methods. Physical Review Letters. 107(19). 196806–196806. 25 indexed citations
19.
Schwerdtfeger, Christine A., A. Eugene DePrince, & David A. Mazziotti. (2011). Testing the parametric two-electron reduced-density-matrix method with improved functionals: Application to the conversion of hydrogen peroxide to oxywater. The Journal of Chemical Physics. 134(17). 174102–174102. 24 indexed citations
20.
DePrince, A. Eugene & Robert J. Hinde. (2010). Accurate Computation of Electric Field Enhancement Factors for Metallic Nanoparticles Using the Discrete Dipole Approximation. Nanoscale Research Letters. 5(3). 592–596. 13 indexed citations

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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