David M. Wilkins

3.3k total citations · 2 hit papers
26 papers, 2.0k citations indexed

About

David M. Wilkins is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Spectroscopy. According to data from OpenAlex, David M. Wilkins has authored 26 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atomic and Molecular Physics, and Optics, 9 papers in Materials Chemistry and 8 papers in Spectroscopy. Recurrent topics in David M. Wilkins's work include Spectroscopy and Quantum Chemical Studies (18 papers), Machine Learning in Materials Science (6 papers) and Quantum, superfluid, helium dynamics (5 papers). David M. Wilkins is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (18 papers), Machine Learning in Materials Science (6 papers) and Quantum, superfluid, helium dynamics (5 papers). David M. Wilkins collaborates with scholars based in United Kingdom, Switzerland and United States. David M. Wilkins's co-authors include Michele Ceriotti, Gábor Cśanyi, Albert P. Bartók, Noam Bernstein, Volker L. Deringer, Andrea Grisafi, Sylvie Roke, David E. Manolopoulos, Halil İ. Okur and Alberto Fabrizio and has published in prestigious journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

David M. Wilkins

25 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Gaussian Process Regression for Materials and Molecules

2021 766 citations David M. Wilkins, Michele Ceriotti et al. profile →
Dissecting the hydrogen bond network of water: Charge transfer and nuclear quantum effects

2024 53 citations David M. Wilkins, Damien Laage et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David M. Wilkins United Kingdom	17	1.1k	706	481	292	227	26	2.0k
Sandip De Switzerland	17	1.7k 1.5×	282 0.4×	581 1.2×	278 1.0×	393 1.7×	39	2.2k
Bingqing Cheng Austria	22	1.3k 1.1×	406 0.6×	334 0.7×	274 0.9×	253 1.1×	55	2.1k
Michael Gastegger Germany	14	1.7k 1.5×	376 0.5×	877 1.8×	583 2.0×	227 1.0×	24	2.2k
Benjamin Nebgen United States	21	1.9k 1.7×	824 1.2×	968 2.0×	686 2.3×	340 1.5×	44	2.7k
Johannes Hachmann United States	15	941 0.8×	484 0.7×	341 0.7×	140 0.5×	541 2.4×	25	1.7k
Biswajit Maiti India	27	1.1k 1.0×	543 0.8×	160 0.3×	196 0.7×	290 1.3×	121	3.0k
Mohan Chen China	27	1.4k 1.3×	1.1k 1.5×	137 0.3×	288 1.0×	424 1.9×	106	2.6k
Daniel G. A. Smith United States	16	521 0.5×	521 0.7×	183 0.4×	238 0.8×	129 0.6×	27	1.2k
A.V. Titov Russia	13	930 0.8×	461 0.7×	128 0.3×	311 1.1×	336 1.5×	44	2.1k
Chenru Duan United States	25	1.4k 1.2×	293 0.4×	567 1.2×	245 0.8×	238 1.0×	60	2.0k

Countries citing papers authored by David M. Wilkins

Since Specialization

Citations

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

Fields of papers citing papers by David M. Wilkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Wilkins. 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 David M. Wilkins. The network helps show where David M. Wilkins may publish in the future.

Co-authorship network of co-authors of David M. Wilkins

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Wilkins. A scholar is included among the top collaborators of David M. Wilkins 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 David M. Wilkins. David M. Wilkins 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

Wilkins, David M., et al.. (2025). Symmetry-adapted models for the hyperpolarizability of water. Journal of Physics Condensed Matter. 37(17). 175101–175101.

Wilkins, David M., et al.. (2024). Dissecting the hydrogen bond network of water: Charge transfer and nuclear quantum effects. Science. 386(6726). eads4369–eads4369. 53 indexed citations breakdown →

Litman, Yair, et al.. (2024). Learning Electronic Polarizations in Aqueous Systems. Journal of Chemical Information and Modeling. 64(11). 4426–4435. 5 indexed citations

Wilkins, David M., et al.. (2023). Competing Nuclear Quantum Effects and Hydrogen-Bond Jumps in Hydrated Kaolinite. The Journal of Physical Chemistry Letters. 14(6). 1542–1547. 3 indexed citations

Tribello, Gareth A., et al.. (2023). A fully quantum-mechanical treatment for kaolinite. The Journal of Chemical Physics. 158(20). 3 indexed citations

Litman, Yair, Jinggang Lan, Yuki Nagata, & David M. Wilkins. (2023). Fully First-Principles Surface Spectroscopy with Machine Learning. The Journal of Physical Chemistry Letters. 14(36). 8175–8182. 21 indexed citations

Schönfeldová, Tereza, Yixing Chen, Narjes Ansari, et al.. (2022). Charge Gradients around Dendritic Voids Cause Nanoscale Inhomogeneities in Liquid Water. The Journal of Physical Chemistry Letters. 13(32). 7462–7468. 7 indexed citations

Lan, Jinggang, et al.. (2021). Efficient Quantum Vibrational Spectroscopy of Water with High-Order Path Integrals: From Bulk to Interfaces. The Journal of Physical Chemistry Letters. 12(37). 9108–9114. 23 indexed citations

Yang, Yang, Ka Un Lao, David M. Wilkins, et al.. (2019). Quantum mechanical static dipole polarizabilities in the QM7b and AlphaML showcase databases. Scientific Data. 6(1). 152–152. 31 indexed citations

10.

Luo, Zhi, David M. Wilkins, Joachim Kohlbrecher, et al.. (2019). Determination and evaluation of the nonadditivity in wetting of molecularly heterogeneous surfaces. Proceedings of the National Academy of Sciences. 116(51). 25516–25523. 10 indexed citations

11.

Wilkins, David M., Andrea Grisafi, Yang Yang, et al.. (2019). Accurate molecular polarizabilities with coupled cluster theory and machine learning. Proceedings of the National Academy of Sciences. 116(9). 3401–3406. 150 indexed citations

12.

Grisafi, Andrea, David M. Wilkins, Gábor Cśanyi, & Michele Ceriotti. (2018). Symmetry-Adapted Machine Learning for Tensorial Properties of Atomistic Systems. Physical Review Letters. 120(3). 36002–36002. 205 indexed citations

13.

Grisafi, Andrea, Alberto Fabrizio, Benjamin Meyer, et al.. (2018). Transferable Machine-Learning Model of the Electron Density. ACS Central Science. 5(1). 57–64. 187 indexed citations

14.

Okur, Halil İ., et al.. (2018). Comment on “Water-water correlations in electrolyte solutions probed by hyper-Rayleigh scattering” [J. Chem. Phys. 147, 214505 (2017)]. The Journal of Chemical Physics. 149(16). 167101–167101. 4 indexed citations

15.

Wilkins, David M., David E. Manolopoulos, Sylvie Roke, & Michele Ceriotti. (2017). Communication: Mean-field theory of water-water correlations in electrolyte solutions. The Journal of Chemical Physics. 146(18). 23 indexed citations

16.

Okur, Halil İ., et al.. (2017). The Jones-Ray effect reinterpreted: Surface tension minima of low ionic strength electrolyte solutions are caused by electric field induced water-water correlations. Chemical Physics Letters. 684. 433–442. 39 indexed citations

17.

Liang, Chungwen, Gabriele Tocci, David M. Wilkins, et al.. (2017). Solvent fluctuations and nuclear quantum effects modulate the molecular hyperpolarizability of water. Physical review. B.. 96(4). 33 indexed citations

18.

Chen, Yixing, Halil İ. Okur, N. Gomopoulos, et al.. (2016). Electrolytes induce long-range orientational order and free energy changes in the H-bond network of bulk water. Science Advances. 2(4). e1501891–e1501891. 163 indexed citations

19.

Liu, Jian, et al.. (2013). A Surface-Specific Isotope Effect in Mixtures of Light and Heavy Water. The Journal of Physical Chemistry C. 117(6). 2944–2951. 56 indexed citations

20.

Dattani, Nikesh S., Felix A. Pollock, & David M. Wilkins. (2012). Analytic Influence Functionals for Numerical Feynman Integrals in Most Open Quantum Systems. 1(1). 35–45. 3 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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