Matthew R. Hermes

3.0k total citations
55 papers, 1.1k citations indexed

About

Matthew R. Hermes is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Matthew R. Hermes has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atomic and Molecular Physics, and Optics, 15 papers in Materials Chemistry and 8 papers in Condensed Matter Physics. Recurrent topics in Matthew R. Hermes's work include Advanced Chemical Physics Studies (36 papers), Spectroscopy and Quantum Chemical Studies (17 papers) and Machine Learning in Materials Science (7 papers). Matthew R. Hermes is often cited by papers focused on Advanced Chemical Physics Studies (36 papers), Spectroscopy and Quantum Chemical Studies (17 papers) and Machine Learning in Materials Science (7 papers). Matthew R. Hermes collaborates with scholars based in United States, Japan and Sweden. Matthew R. Hermes's co-authors include Laura Gagliardi, So Hirata, Riddhish Pandharkar, Keith T. Kuwata, Donald G. Truhlar, Cheryl K. Zogg, Roman Boulatov, J. V. Ortiz, Jack Simons and Christopher J. Cramer and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Matthew R. Hermes

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew R. Hermes United States 21 697 243 230 171 111 55 1.1k
Jun Shen United States 21 941 1.4× 387 1.6× 166 0.7× 87 0.5× 120 1.1× 50 1.2k
Ágnes Szabados Hungary 20 999 1.4× 271 1.1× 302 1.3× 95 0.6× 142 1.3× 73 1.3k
Piotr S. Żuchowski Poland 24 1.6k 2.3× 165 0.7× 459 2.0× 151 0.9× 106 1.0× 75 1.8k
Roberto Linguerri France 18 514 0.7× 207 0.9× 229 1.0× 124 0.7× 74 0.7× 68 868
Daniel Kats Germany 21 1.2k 1.7× 405 1.7× 255 1.1× 100 0.6× 181 1.6× 53 1.4k
Liguo Kong Canada 12 754 1.1× 193 0.8× 224 1.0× 66 0.4× 84 0.8× 14 885
Jean Christophe Tremblay Germany 24 1.1k 1.5× 296 1.2× 256 1.1× 73 0.4× 139 1.3× 94 1.4k
Mahmoud Korek Lebanon 20 1.5k 2.1× 149 0.6× 489 2.1× 79 0.5× 219 2.0× 147 1.6k
Burkhard Schmidt Germany 28 1.6k 2.3× 210 0.9× 514 2.2× 99 0.6× 170 1.5× 98 2.0k

Countries citing papers authored by Matthew R. Hermes

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Hermes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew R. Hermes. 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 Matthew R. Hermes. The network helps show where Matthew R. Hermes may publish in the future.

Co-authorship network of co-authors of Matthew R. Hermes

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Hermes. A scholar is included among the top collaborators of Matthew R. Hermes 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 Matthew R. Hermes. Matthew R. Hermes 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.
2.
Hermes, Matthew R., et al.. (2025). Polynomial Scaling Localized Active Space Unitary Selective Coupled Cluster Singles and Doubles. Journal of Chemical Theory and Computation. 21(15). 7460–7470. 1 indexed citations
3.
Hermes, Matthew R., et al.. (2025). Density Matrix Embedding Pair-Density Functional Theory for Molecules. The Journal of Physical Chemistry Letters. 16(21). 5348–5357. 3 indexed citations
4.
King, David A., et al.. (2025). Bridging the gap between molecules and materials in quantum chemistry with localized active spaces. Nature Communications. 16(1). 10832–10832. 1 indexed citations
5.
Mandal, Mukunda, Matthew R. Hermes, Fabian Berger, Joachim Sauer, & Laura Gagliardi. (2025). Modeling Oxidative Dehydrogenation of Propane with Supported Vanadia Catalysts Using Multireference Methods. The Journal of Physical Chemistry C. 129(32). 14418–14429. 1 indexed citations
6.
Hennefarth, Matthew R., et al.. (2025). MC-PDFT Nuclear Gradients and L-PDFT Energies with Meta and Hybrid Meta On-Top Functionals for Ground- and Excited-State Geometry Optimization and Vertical Excitation Energies. Journal of Chemical Theory and Computation. 21(16). 7890–7902. 2 indexed citations
7.
Liu, Cong, et al.. (2025). Enabling Multireference Calculations on Multimetallic Systems with Graphic Processing Units. Journal of Chemical Theory and Computation. 21(15). 7378–7393.
8.
Otten, Matthew, et al.. (2024). State Preparation in Quantum Algorithms for Fragment-Based Quantum Chemistry. Journal of Chemical Theory and Computation. 20(8). 3121–3130. 6 indexed citations
9.
Calio, Paul B., Matthew R. Hermes, Jie J. Bao, et al.. (2024). Minimum-Energy Conical Intersections by Compressed Multistate Pair-Density Functional Theory. The Journal of Physical Chemistry A. 128(9). 1698–1706. 5 indexed citations
10.
King, Daniel S., et al.. (2024). Automatic State Interaction with Large Localized Active Spaces for Multimetallic Systems. Journal of Chemical Theory and Computation. 20(11). 4654–4662. 13 indexed citations
11.
Hermes, Matthew R., et al.. (2024). Core Binding Energy Calculations: A Scalable Approach with the Quantum Embedding-Based Equation-of-Motion Coupled-Cluster Method. The Journal of Physical Chemistry Letters. 15(22). 5954–5963. 6 indexed citations
12.
Wang, Qiaohong, Matthew R. Hermes, Yuri Alexeev, et al.. (2024). The Localized Active Space Method with Unitary Selective Coupled Cluster. Journal of Chemical Theory and Computation. 7 indexed citations
13.
Jin, Yu, et al.. (2023). Optical Properties of Neutral F Centers in Bulk MgO with Density Matrix Embedding. The Journal of Physical Chemistry Letters. 14(34). 7703–7710. 16 indexed citations
14.
Hermes, Matthew R., et al.. (2023). Density Matrix Embedding Using Multiconfiguration Pair-Density Functional Theory. Journal of Chemical Theory and Computation. 19(12). 3498–3508. 8 indexed citations
15.
16.
King, Daniel S., Matthew R. Hermes, Donald G. Truhlar, & Laura Gagliardi. (2022). Large-Scale Benchmarking of Multireference Vertical-Excitation Calculations via Automated Active-Space Selection. Journal of Chemical Theory and Computation. 18(10). 6065–6076. 27 indexed citations
17.
Zhang, Dayou, Matthew R. Hermes, Laura Gagliardi, & Donald G. Truhlar. (2021). Multiconfiguration Density-Coherence Functional Theory. Journal of Chemical Theory and Computation. 17(5). 2775–2782. 16 indexed citations
18.
Pham, Hung Q., Matthew R. Hermes, & Laura Gagliardi. (2019). Electronic Structure of Strongly Correlated Materials within Density Matrix Embedding Theory. arXiv (Cornell University). 1 indexed citations
19.
Hermes, Matthew R., J. Dukelsky, & Gustavo E. Scuseria. (2017). Combining symmetry collective states with coupled-cluster theory: Lessons from the Agassi model Hamiltonian. Physical review. C. 95(6). 14 indexed citations
20.
Dohm, V., et al.. (1995). Field theory of finite-size effects in Ising-like systems. The European Physical Journal B. 97(2). 205–211. 16 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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