Zachary L. Glick

1.3k total citations
15 papers, 135 citations indexed

About

Zachary L. Glick is a scholar working on Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry and Materials Chemistry. According to data from OpenAlex, Zachary L. Glick has authored 15 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atomic and Molecular Physics, and Optics, 8 papers in Physical and Theoretical Chemistry and 8 papers in Materials Chemistry. Recurrent topics in Zachary L. Glick's work include Advanced Chemical Physics Studies (9 papers), Machine Learning in Materials Science (7 papers) and Crystallography and molecular interactions (7 papers). Zachary L. Glick is often cited by papers focused on Advanced Chemical Physics Studies (9 papers), Machine Learning in Materials Science (7 papers) and Crystallography and molecular interactions (7 papers). Zachary L. Glick collaborates with scholars based in United States, Sweden and Germany. Zachary L. Glick's co-authors include C. David Sherrill, Daniel L. Cheney, Alexios Koutsoukas, Steven A. Spronk, Carlos H. Borca, Yi Xie, Lori A. Burns, Andrea Bortolato, David Poole and Justin M. Turney and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Science and Journal of Chemical Information and Modeling.

In The Last Decade

Zachary L. Glick

13 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zachary L. Glick United States 6 94 58 52 47 42 15 135
Benjamin C. B. Symons United Kingdom 8 76 0.8× 69 1.2× 52 1.0× 43 0.9× 43 1.0× 12 173
Nicholas J. Browning Switzerland 6 123 1.3× 53 0.9× 64 1.2× 49 1.0× 28 0.7× 8 200
Gerardo Raggi United Kingdom 6 68 0.7× 34 0.6× 38 0.7× 22 0.5× 33 0.8× 9 117
Kai Töpfer Switzerland 7 127 1.4× 54 0.9× 58 1.1× 42 0.9× 19 0.5× 18 222
Davide Avagliano Austria 9 66 0.7× 91 1.6× 20 0.4× 53 1.1× 54 1.3× 18 204
Chetan Rupakheti United States 7 84 0.9× 71 1.2× 67 1.3× 120 2.6× 39 0.9× 7 233
Zhuoran Qiao United States 5 130 1.4× 25 0.4× 94 1.8× 84 1.8× 19 0.5× 8 249
Yuanqing Wang United States 9 160 1.7× 21 0.4× 106 2.0× 119 2.5× 20 0.5× 15 256
Kate Huddleston United States 3 218 2.3× 38 0.7× 164 3.2× 132 2.8× 27 0.6× 4 285
Atsushi Tokuhisa Japan 9 91 1.0× 32 0.6× 32 0.6× 78 1.7× 10 0.2× 21 185

Countries citing papers authored by Zachary L. Glick

Since Specialization
Citations

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

Fields of papers citing papers by Zachary L. Glick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zachary L. Glick. 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 Zachary L. Glick. The network helps show where Zachary L. Glick may publish in the future.

Co-authorship network of co-authors of Zachary L. Glick

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

All Works

15 of 15 papers shown
1.
Glick, Zachary L., et al.. (2024). Directional ΔG Neural Network (DrΔG-Net): A Modular Neural Network Approach to Binding Free Energy Prediction. Journal of Chemical Information and Modeling. 64(6). 1907–1918. 3 indexed citations
2.
Pavlova, Ànna, Zachary L. Glick, Yui Tik Pang, et al.. (2024). Broadening access to small-molecule parameterization with the force field toolkit. The Journal of Chemical Physics. 160(24).
3.
4.
Glick, Zachary L., et al.. (2024). A physics-aware neural network for protein–ligand interactions with quantum chemical accuracy. Chemical Science. 15(33). 13313–13324. 5 indexed citations
5.
6.
Glick, Zachary L., et al.. (2023). A quantitative assessment of deformation energy in intermolecular interactions: How important is it?. The Journal of Chemical Physics. 158(24). 5 indexed citations
7.
Borca, Carlos H., et al.. (2023). Benchmark coupled-cluster lattice energy of crystalline benzene and assessment of multi-level approximations in the many-body expansion. The Journal of Chemical Physics. 158(23). 12 indexed citations
8.
Spronk, Steven A., et al.. (2023). A quantum chemical interaction energy dataset for accurately modeling protein-ligand interactions. Scientific Data. 10(1). 619–619. 14 indexed citations
9.
Xie, Yi, Zachary L. Glick, & C. David Sherrill. (2023). Assessment of three-body dispersion models against coupled-cluster benchmarks for crystalline benzene, carbon dioxide, and triazine. The Journal of Chemical Physics. 158(9). 94110–94110. 6 indexed citations
10.
Glick, Zachary L., et al.. (2023). Approximating large-basis coupled-cluster theory vibrational frequencies using focal-point approximations. The Journal of Chemical Physics. 159(9). 3 indexed citations
11.
Glick, Zachary L., et al.. (2023). Benchmarking two-body contributions to crystal lattice energies and a range-dependent assessment of approximate methods. The Journal of Chemical Physics. 158(5). 54112–54112. 6 indexed citations
12.
Glick, Zachary L., et al.. (2022). Range-dependence of two-body intermolecular interactions and their energy components in molecular crystals. The Journal of Chemical Physics. 157(8). 84503–84503. 5 indexed citations
13.
Glick, Zachary L., Alexios Koutsoukas, Daniel L. Cheney, & C. David Sherrill. (2021). Cartesian message passing neural networks for directional properties: Fast and transferable atomic multipoles. The Journal of Chemical Physics. 154(22). 17 indexed citations
14.
Glick, Zachary L., et al.. (2020). AP-Net: An atomic-pairwise neural network for smooth and transferable interaction potentials. The Journal of Chemical Physics. 153(4). 44112–44112. 54 indexed citations
15.
Glick, Zachary L., et al.. (2018). Reinterpretation of the electronic absorption spectrum of the methylene amidogen radical (H2CN). The Journal of Chemical Physics. 149(9). 94302–94302.

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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