T. Gavin Williams

435 total citations
10 papers, 333 citations indexed

About

T. Gavin Williams is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Organic Chemistry. According to data from OpenAlex, T. Gavin Williams has authored 10 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Atomic and Molecular Physics, and Optics and 5 papers in Organic Chemistry. Recurrent topics in T. Gavin Williams's work include Advanced Chemical Physics Studies (7 papers), Thermal and Kinetic Analysis (5 papers) and Chemical Thermodynamics and Molecular Structure (4 papers). T. Gavin Williams is often cited by papers focused on Advanced Chemical Physics Studies (7 papers), Thermal and Kinetic Analysis (5 papers) and Chemical Thermodynamics and Molecular Structure (4 papers). T. Gavin Williams collaborates with scholars based in United States. T. Gavin Williams's co-authors include Angela K. Wilson, Thomas R. Cundari, Nathan J. DeYonker, Sammer M. Tekarli, Michael L. Drummond, Adam Imel, Benjamin Mintz and Somak Das and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Physics Letters and The Journal of Physical Chemistry A.

In The Last Decade

T. Gavin Williams

10 papers receiving 331 citations

Peers

T. Gavin Williams
Selvarengan Paranthaman India
Paweł Szarek Poland
Gabriel U. Gamboa United States
Barbara Bankiewicz Poland
José‐Luis Carreón‐Macedo United Kingdom
Н. Д. Чувылкин Russia
Aristotle Papakondylis Greece
Andrew M. Sand United States
Anton Dimitrov Germany
T. C. Jackson United States
Selvarengan Paranthaman India
T. Gavin Williams
Citations per year, relative to T. Gavin Williams T. Gavin Williams (= 1×) peers Selvarengan Paranthaman

Countries citing papers authored by T. Gavin Williams

Since Specialization
Citations

This map shows the geographic impact of T. Gavin 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 T. Gavin Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Gavin Williams more than expected).

Fields of papers citing papers by T. Gavin Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Gavin Williams

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

All Works

10 of 10 papers shown
1.
Williams, T. Gavin, et al.. (2012). Proton affinities of deoxyribonucleosides via the ONIOM‐ccCA methodology. Journal of Computational Chemistry. 33(32). 2590–2601. 4 indexed citations
2.
Williams, T. Gavin, et al.. (2011). The correlation Consistent composite Approach: The spin contamination effect on an MP2-based composite methodology. Chemical Physics Letters. 504(1-3). 88–94. 23 indexed citations
3.
Das, Somak, T. Gavin Williams, Michael L. Drummond, & Angela K. Wilson. (2010). A QM/QM Multilayer Composite Methodology: The ONIOM Correlation Consistent Composite Approach (ONIOM-ccCA). The Journal of Physical Chemistry A. 114(34). 9394–9397. 15 indexed citations
4.
Tekarli, Sammer M., T. Gavin Williams, & Thomas R. Cundari. (2009). Activation of Carbon−Hydrogen and Hydrogen−Hydrogen Bonds by Copper−Nitrenes: A Comparison of Density Functional Theory with Single- and Multireference Correlation Consistent Composite Approaches. Journal of Chemical Theory and Computation. 5(11). 2959–2966. 29 indexed citations
5.
Tekarli, Sammer M., Michael L. Drummond, T. Gavin Williams, Thomas R. Cundari, & Angela K. Wilson. (2009). Performance of Density Functional Theory for 3d Transition Metal-Containing Complexes: Utilization of the Correlation Consistent Basis Sets. The Journal of Physical Chemistry A. 113(30). 8607–8614. 82 indexed citations
6.
DeYonker, Nathan J., T. Gavin Williams, Adam Imel, Thomas R. Cundari, & Angela K. Wilson. (2009). Accurate thermochemistry for transition metal complexes from first-principles calculations. The Journal of Chemical Physics. 131(2). 24106–24106. 88 indexed citations
7.
Mintz, Benjamin, et al.. (2009). Computation of potential energy surfaces with the multireference correlation consistent composite approach. The Journal of Chemical Physics. 130(23). 234104–234104. 32 indexed citations
8.
Williams, T. Gavin & Angela K. Wilson. (2008). Importance of the quality of metal and ligand basis sets in transition metal species. The Journal of Chemical Physics. 129(5). 54108–54108. 9 indexed citations
9.
Williams, T. Gavin & Angela K. Wilson. (2008). Performance of the correlation-consistent composite approach for sulfur species. Journal of Sulfur Chemistry. 29(3-4). 353–365. 18 indexed citations
10.
Williams, T. Gavin, Nathan J. DeYonker, & Angela K. Wilson. (2008). Hartree-Fock complete basis set limit properties for transition metal diatomics. The Journal of Chemical Physics. 128(4). 44101–44101. 33 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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