Daniel G. A. Smith

4.6k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Daniel G. A. Smith is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Daniel G. A. Smith has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 9 papers in Materials Chemistry and 7 papers in Molecular Biology. Recurrent topics in Daniel G. A. Smith's work include Advanced Chemical Physics Studies (11 papers), Machine Learning in Materials Science (7 papers) and Protein Structure and Dynamics (6 papers). Daniel G. A. Smith is often cited by papers focused on Advanced Chemical Physics Studies (11 papers), Machine Learning in Materials Science (7 papers) and Protein Structure and Dynamics (6 papers). Daniel G. A. Smith collaborates with scholars based in United States, Belgium and Egypt. Daniel G. A. Smith's co-authors include Konrad Patkowski, Lori A. Burns, C. David Sherrill, Johnnie Gray, Doaa Altarawy, Lee‐Ping Wang, Hyesu Jang, Chaya Stern, Piotr Jankowski and Henryk A. Witek and has published in prestigious journals such as The Journal of Chemical Physics, ACS Nano and The Journal of Physical Chemistry C.

In The Last Decade

Daniel G. A. Smith

27 papers receiving 1.2k 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.

Revised Damping Parameters for the D3 Dispersion Correction to Density Functional Theory

2016 381 citations Daniel G. A. Smith, Lori A. Burns et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel G. A. Smith United States	16	521	521	238	199	183	27	1.2k
Vivekanand V. Gobre India	11	676 1.3×	342 0.7×	209 0.9×	143 0.7×	171 0.9×	23	1.3k
Marie L. Laury United States	14	360 0.7×	504 1.0×	355 1.5×	189 0.9×	77 0.4×	17	1.3k
Hannes H. Loeffler Austria	21	293 0.6×	636 1.2×	451 1.9×	239 1.2×	227 1.2×	31	1.3k
Frank C. Pickard United States	20	286 0.5×	588 1.1×	384 1.6×	188 0.9×	138 0.8×	39	1.2k
Farnaz Heidar‐Zadeh Canada	21	577 1.1×	608 1.2×	180 0.8×	167 0.8×	341 1.9×	60	1.5k
Elvira R. Sayfutyarova United States	11	505 1.0×	979 1.9×	116 0.5×	197 1.0×	124 0.7×	18	1.5k
Sheng Guo China	13	633 1.2×	1.0k 2.0×	101 0.4×	205 1.0×	125 0.7×	30	1.9k
Spencer R. Pruitt United States	13	383 0.7×	1.0k 2.0×	350 1.5×	405 2.0×	111 0.6×	16	1.5k
Asim Najibi Australia	5	706 1.4×	760 1.5×	175 0.7×	260 1.3×	136 0.7×	5	1.8k
Anders S. Christensen Denmark	16	631 1.2×	327 0.6×	384 1.6×	118 0.6×	367 2.0×	27	1.2k

Countries citing papers authored by Daniel G. A. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Daniel G. A. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. A. Smith. 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 Daniel G. A. Smith. The network helps show where Daniel G. A. Smith may publish in the future.

Co-authorship network of co-authors of Daniel G. A. Smith

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Riera, Marc, Chris Knight, Henry Agnew, et al.. (2023). MBX: A many-body energy and force calculator for data-driven many-body simulations. The Journal of Chemical Physics. 159(5). 33 indexed citations

Xie, Yi, Daniel G. A. Smith, & C. David Sherrill. (2022). Implementation of symmetry-adapted perturbation theory based on density functional theory and using hybrid exchange–correlation kernels for dispersion terms. The Journal of Chemical Physics. 157(2). 24801–24801. 10 indexed citations

Smith, Daniel G. A., Simon Boothroyd, Hyesu Jang, et al.. (2021). Development and Benchmarking of Open Force Field v1.0.0—the Parsley Small-Molecule Force Field. Journal of Chemical Theory and Computation. 17(10). 6262–6280. 113 indexed citations

Smith, Daniel G. A., Doaa Altarawy, Lori A. Burns, et al.. (2020). The MolSSI QCA rchive project: An open‐source platform to compute, organize, and share quantum chemistry data. Wiley Interdisciplinary Reviews Computational Molecular Science. 11(2). 58 indexed citations

Jang, Hyesu, Yudong Qiu, Daniel G. A. Smith, et al.. (2020). openforcefield/openforcefields: Version 1.1.0 "Parsley" Update. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Stern, Chaya, Christopher I. Bayly, Daniel G. A. Smith, et al.. (2020). Capturing non-local through-bond effects when fragmenting molecules for quantum chemical torsion scans. 2 indexed citations

Jang, Hyesu, Yudong Qiu, Daniel G. A. Smith, et al.. (2020). openforcefield/openforcefields: Version 1.2.0 "Parsley" Update. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations

Smith, Daniel G. A., et al.. (2020). Driving torsion scans with wavefront propagation. The Journal of Chemical Physics. 152(24). 244116–244116. 31 indexed citations

Smith, Daniel G. A., et al.. (2020). Efficient and automated computation of accurate molecular geometries using focal-point approximations to large-basis coupled-cluster theory. The Journal of Chemical Physics. 152(12). 124109–124109. 15 indexed citations

10.

Turney, Justin M., et al.. (2019). PES-Learn: An Open-Source Software Package for the Automated Generation of Machine Learning Models of Molecular Potential Energy Surfaces. Journal of Chemical Theory and Computation. 15(8). 4386–4398. 62 indexed citations

11.

Takeshita, Tyler Y., Wenjie Dou, Daniel G. A. Smith, et al.. (2019). Stochastic resolution of identity second-order Matsubara Green’s function theory. The Journal of Chemical Physics. 151(4). 44114–44114. 12 indexed citations

12.

Krylov, Anna I., Theresa L. Windus, Taylor Barnes, et al.. (2018). Perspective: Computational chemistry software and its advancement as illustrated through three grand challenge cases for molecular science. The Journal of Chemical Physics. 149(18). 180901–180901. 60 indexed citations

13.

Burns, Lori A., John C. Faver, Zheng Zheng, et al.. (2017). The BioFragment Database (BFDb): An open-data platform for computational chemistry analysis of noncovalent interactions. The Journal of Chemical Physics. 147(16). 161727–161727. 91 indexed citations

14.

Smith, Daniel G. A., et al.. (2016). Open source essentials. 98(3). 62–63. 3 indexed citations

15.

Hapala, Prokop, Joost van der Lit, Daniel G. A. Smith, et al.. (2016). Characteristic Contrast in Δf_min Maps of Organic Molecules Using Atomic Force Microscopy. ACS Nano. 10(9). 8517–8525. 35 indexed citations

16.

Smith, Daniel G. A. & Konrad Patkowski. (2015). Benchmarking the CO₂ Adsorption Energy on Carbon Nanotubes. The Journal of Physical Chemistry C. 119(9). 4934–4948. 47 indexed citations

17.

Smith, Daniel G. A., Konrad Patkowski, N. Balakrishnan, et al.. (2014). Highly Correlated Electronic Structure Calculations of the He–C₃ van der Waals Complex and Collision-Induced Rotational Transitions of C₃. The Journal of Physical Chemistry A. 118(33). 6351–6360. 13 indexed citations

18.

Smith, Daniel G. A. & Konrad Patkowski. (2013). Toward an Accurate Description of Methane Physisorption on Carbon Nanotubes. The Journal of Physical Chemistry C. 118(1). 544–550. 19 indexed citations

19.

Smith, Daniel G. A., et al.. (2013). Highly accurate potential energy surface for the He–H2 dimer. The Journal of Chemical Physics. 139(14). 144305–144305. 44 indexed citations

20.

Kleek, Max Van, Daniel G. A. Smith, Ruben Stranders, & m.c. schraefel. (2012). Twiage. 889–898. 4 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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