Leighton Wilson

2.5k total citations
9 papers, 59 citations indexed

About

Leighton Wilson is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Leighton Wilson has authored 9 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Leighton Wilson's work include Protein Structure and Dynamics (4 papers), Advanced Chemical Physics Studies (3 papers) and Sparse and Compressive Sensing Techniques (1 paper). Leighton Wilson is often cited by papers focused on Protein Structure and Dynamics (4 papers), Advanced Chemical Physics Studies (3 papers) and Sparse and Compressive Sensing Techniques (1 paper). Leighton Wilson collaborates with scholars based in United States, Switzerland and Italy. Leighton Wilson's co-authors include Robert Krasny, Weihua Geng, Paul M. Zimmerman, Hatem Ltaief, David E. Keyes, Tyler Luchko, Matteo Ravasi, Mathias Jacquelin, John Tramm and Kazutomo Yoshii and has published in prestigious journals such as The Journal of Physical Chemistry B, Journal of Computational Chemistry and Computer Physics Communications.

In The Last Decade

Leighton Wilson

8 papers receiving 59 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leighton Wilson United States	6	17	12	11	11	10	9	59
Haochen Wang United States	5	19 1.1×	12 1.0×	16 1.5×	4 0.4×	8 0.8×	21	67
Radmila Sazdanović United States	6	14 0.8×	4 0.3×	3 0.3×	5 0.5×	5 0.5×	36	128
R. Tanaka Japan	6	6 0.4×	6 0.5×	42 3.8×	18 1.6×	7 0.7×	21	83
Gábor János Tornai Hungary	4	6 0.4×	25 2.1×	2 0.2×	11 1.0×	8 0.8×	6	66
Benjamin A. Cordier United States	2	9 0.5×	8 0.7×	8 0.7×	4 0.4×	4 0.4×	2	47
Y. L. Han China	4	5 0.3×	20 1.7×	15 1.4×	4 0.4×	3 0.3×	16	54
T. M. Hong United States	5	2 0.1×	19 1.6×	6 0.5×	4 0.4×	12 1.2×	13	75
M. Baszczyk Poland	5	8 0.5×	3 0.3×	14 1.3×	3 0.3×	14 1.4×	17	56
Y. Kwon South Korea	5	5 0.3×	49 4.1×	35 3.2×	7 0.6×	7 0.7×	6	78
Ryan Brand United States	3	39 2.3×	4 0.3×	2 0.2×	9 0.8×	7 0.7×	4	60

Countries citing papers authored by Leighton Wilson

Since Specialization

Citations

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

Fields of papers citing papers by Leighton Wilson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leighton Wilson. 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 Leighton Wilson. The network helps show where Leighton Wilson may publish in the future.

Co-authorship network of co-authors of Leighton Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Leighton Wilson. A scholar is included among the top collaborators of Leighton Wilson 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 Leighton Wilson. Leighton Wilson 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:

9 of 9 papers shown

1.

Gianinazzi, Lukas, et al.. (2024). Near-Optimal Wafer-Scale Reduce. IRIS Research product catalog (Sapienza University of Rome). 334–347. 5 indexed citations

2.

Tramm, John, Bryce Allen, Kazutomo Yoshii, Andrew Siegel, & Leighton Wilson. (2023). Efficient algorithms for Monte Carlo particle transport on AI accelerator hardware. Computer Physics Communications. 298. 109072–109072. 4 indexed citations

3.

Ltaief, Hatem, et al.. (2023). Scaling the “Memory Wall” for Multi-Dimensional Seismic Processing with Algebraic Compression on Cerebras CS-2 Systems. 1–12. 11 indexed citations

4.

Wilson, Leighton, Weihua Geng, & Robert Krasny. (2022). TABI-PB 2.0: An Improved Version of the Treecode-Accelerated Boundary Integral Poisson-Boltzmann Solver. The Journal of Physical Chemistry B. 126(37). 7104–7113. 13 indexed citations

5.

Wilson, Leighton, et al.. (2022). The numerical evaluation of Slater integrals on graphics processing units. Journal of Computational Chemistry. 43(25). 1680–1689. 8 indexed citations

6.

Wilson, Leighton, Robert Krasny, & Tyler Luchko. (2022). Accelerating the 3D reference interaction site model theory of molecular solvation with treecode summation and cut‐offs. Journal of Computational Chemistry. 43(18). 1251–1270. 5 indexed citations

7.

Wilson, Leighton, et al.. (2022). Computing electrostatic binding energy with the TABI Poisson–Boltzmann solver. Communications in Information and Systems. 22(2). 247–273.

8.

Wilson, Leighton, et al.. (2021). A GPU-accelerated fast multipole method based on barycentric Lagrange interpolation and dual tree traversal. Computer Physics Communications. 265. 108017–108017. 9 indexed citations

9.

Wilson, Leighton & Robert Krasny. (2021). Comparison of the MSMS and NanoShaper molecular surface triangulation codes in the TABI Poisson–Boltzmann solver. Journal of Computational Chemistry. 42(22). 1552–1560. 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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