Christopher D. Williams

4.3k total citations · 2 hit papers
28 papers, 3.5k citations indexed

About

Christopher D. Williams is a scholar working on Materials Chemistry, Biomedical Engineering and Water Science and Technology. According to data from OpenAlex, Christopher D. Williams has authored 28 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 15 papers in Biomedical Engineering and 9 papers in Water Science and Technology. Recurrent topics in Christopher D. Williams's work include Graphene research and applications (15 papers), Nanopore and Nanochannel Transport Studies (10 papers) and Membrane Separation Technologies (9 papers). Christopher D. Williams is often cited by papers focused on Graphene research and applications (15 papers), Nanopore and Nanochannel Transport Studies (10 papers) and Membrane Separation Technologies (9 papers). Christopher D. Williams collaborates with scholars based in United Kingdom, United States and Japan. Christopher D. Williams's co-authors include Paola Carbone, Ray H. Baughman, K. R. Atkinson, Sergey B. Lee, Anvar Zakhidov, Shaoli Fang, Ali E. Aliev, Mei Zhang, James A. Dix and Rahul R. Nair and has published in prestigious journals such as Science, The Journal of Chemical Physics and Environmental Science & Technology.

In The Last Decade

Christopher D. Williams

27 papers receiving 3.4k citations

Hit Papers

Tunable sieving of ions using graphe... 2005 2026 2012 2019 2017 2005 500 1000 1.5k

Peers

Christopher D. Williams
Éric Prestat United Kingdom
K. Gopinadhan Singapore
Sumedh P. Surwade United States
Piran R. Kidambi United States
S. Fiechter Germany
Jonathan Phillips United States
Jun Shen China
Éric Prestat United Kingdom
Christopher D. Williams
Citations per year, relative to Christopher D. Williams Christopher D. Williams (= 1×) peers Éric Prestat

Countries citing papers authored by Christopher D. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Williams. 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 Christopher D. Williams. The network helps show where Christopher D. Williams may publish in the future.

Co-authorship network of co-authors of Christopher D. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher D. Williams. A scholar is included among the top collaborators of Christopher D. Williams 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 Christopher D. Williams. Christopher D. Williams 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.
Williams, Christopher D., et al.. (2024). A neural network potential based on pairwise resolved atomic forces and energies. Journal of Computational Chemistry. 45(14). 1143–1151. 2 indexed citations
2.
Smith, Lois E. H., Zixuan Wei, Christopher D. Williams, et al.. (2024). Relationship between Capillary Wettability, Mass, and Momentum Transfer in Nanoconfined Water: The Case of Water in Nanoslits of Graphite and Hexagonal Boron Nitride. ACS Applied Materials & Interfaces. 16(41). 56316–56324. 1 indexed citations
3.
Williams, Christopher D., et al.. (2024). Stable and accurate atomistic simulations of flexible molecules using conformationally generalisable machine learned potentials. Chemical Science. 15(32). 12780–12795. 3 indexed citations
4.
Zhang, Anan, Christopher D. Williams, Brian G. Amsden, et al.. (2023). Adhesive Wearable Sensors for Electroencephalography from Hairy Scalp. Advanced Healthcare Materials. 12(22). e2300142–e2300142. 20 indexed citations
5.
Williams, Christopher D., Junju Mu, Andrew J. Masters, et al.. (2023). Hierarchical Aggregation in a Complex Fluid─The Role of Isomeric Interconversion. The Journal of Physical Chemistry B. 127(9). 2052–2065. 2 indexed citations
6.
Williams, Christopher D., et al.. (2022). A molecular simulation study into the stability of hydrated graphene nanochannels used in nanofluidics devices. Nanoscale. 14(9). 3467–3479. 20 indexed citations
7.
Williams, Christopher D., et al.. (2022). The role of surface ionisation in the hydration-induced swelling of graphene oxide membranes. Journal of Membrane Science. 653. 120489–120489. 12 indexed citations
8.
Williams, Christopher D., Flor R. Siperstein, & Paola Carbone. (2021). High-throughput molecular simulations reveal the origin of ion free energy barriers in graphene oxide membranes. Nanoscale. 13(32). 13693–13702. 14 indexed citations
9.
Williams, Christopher D. & Martin Lı́sal. (2020). Coarse grained models of graphene and graphene oxide for use in aqueous solution. 2D Materials. 7(2). 25025–25025. 19 indexed citations
10.
Williams, Christopher D., Paola Carbone, & Flor R. Siperstein. (2019). In Silico Design and Characterization of Graphene Oxide Membranes with Variable Water Content and Flake Oxygen Content. ACS Nano. 13(3). 2995–3004. 39 indexed citations
11.
Motokawa, Ryuhei, T. Kobayashi, Hitoshi Endo, et al.. (2018). A Telescoping View of Solute Architectures in a Complex Fluid System. ACS Central Science. 5(1). 85–96. 58 indexed citations
12.
Williams, Christopher D., et al.. (2018). Determination of the optimal crank arm length to maximize peak power production in an upright cycling position. SUNY Digital Repository Support (State University of New York System). 1 indexed citations
13.
Carey, Thomas, et al.. (2018). Removal of Cs, Sr, U and Pu species from simulated nuclear waste effluent using graphene oxide. Journal of Radioanalytical and Nuclear Chemistry. 317(1). 93–102. 11 indexed citations
14.
Abraham, Jijo, K. S. Vasu, Christopher D. Williams, et al.. (2017). Tunable sieving of ions using graphene oxide membranes. Nature Nanotechnology. 12(6). 546–550. 1524 indexed citations breakdown →
15.
Williams, Christopher D., Paola Carbone, & Flor R. Siperstein. (2017). Computational characterisation of dried and hydrated graphene oxide membranes. Nanoscale. 10(4). 1946–1956. 34 indexed citations
16.
Williams, Christopher D., James A. Dix, Alessandro Troisi, & Paola Carbone. (2017). Effective Polarization in Pairwise Potentials at the Graphene–Electrolyte Interface. The Journal of Physical Chemistry Letters. 8(3). 703–708. 76 indexed citations
17.
Williams, Christopher D., Karl P. Travis, Neil A. Burton, & John H. Harding. (2016). A new method for the generation of realistic atomistic models of siliceous MCM-41. Microporous and Mesoporous Materials. 228. 215–223. 23 indexed citations
18.
Mu, Junju, et al.. (2016). Comparative Molecular Dynamics Study on Tri-n-butyl Phosphate in Organic and Aqueous Environments and Its Relevance to Nuclear Extraction Processes. The Journal of Physical Chemistry B. 120(23). 5183–5193. 27 indexed citations
19.
Williams, Christopher D. & Paola Carbone. (2015). A classical force field for tetrahedral oxyanions developed using hydration properties: The examples of pertechnetate (TcO4−) and sulfate (SO42−). The Journal of Chemical Physics. 143(17). 174502–174502. 32 indexed citations
20.
Atkinson, K. R., Stephen C. Hawkins, Chi Huynh, et al.. (2007). Multifunctional carbon nanotube yarns and transparent sheets: Fabrication, properties, and applications. Physica B Condensed Matter. 394(2). 339–343. 96 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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