William S. Young

511 total citations
15 papers, 418 citations indexed

About

William S. Young is a scholar working on Molecular Biology, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, William S. Young has authored 15 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Computer Networks and Communications and 5 papers in Hardware and Architecture. Recurrent topics in William S. Young's work include Parallel Computing and Optimization Techniques (5 papers), Protein Structure and Dynamics (4 papers) and Distributed and Parallel Computing Systems (4 papers). William S. Young is often cited by papers focused on Parallel Computing and Optimization Techniques (5 papers), Protein Structure and Dynamics (4 papers) and Distributed and Parallel Computing Systems (4 papers). William S. Young collaborates with scholars based in United States and France. William S. Young's co-authors include Charles L. Brooks, Donald S. Faber, Pascal Legendre, Henri Korn, Charles L. Brooks, Charles L. Brooks, David A. Case, Donald Bashford, Klára Ősapay and Mahidhar Tatineni and has published in prestigious journals such as Science, The Journal of Chemical Physics and Journal of Molecular Biology.

In The Last Decade

William S. Young

14 papers receiving 408 citations

Peers

William S. Young
John G. Elias United States
H. Richard Leuchtag United States
Rima Budvytytė Lithuania
Dougal Maclaurin United States
Felix T. Hong United States
Gregory Eyring United States
Alexander D. Corbett United Kingdom
John G. Elias United States
William S. Young
Citations per year, relative to William S. Young William S. Young (= 1×) peers John G. Elias

Countries citing papers authored by William S. Young

Since Specialization
Citations

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

Fields of papers citing papers by William S. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William S. Young. 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 William S. Young. The network helps show where William S. Young may publish in the future.

Co-authorship network of co-authors of William S. Young

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

All Works

15 of 15 papers shown
1.
Moore, Richard, et al.. (2012). Analyzing throughput and utilization on trestles. 1–7. 2 indexed citations
2.
Cicotti, Pietro, Robert S. Sinkovits, William S. Young, et al.. (2012). Gordon. 1–8. 19 indexed citations
3.
Moore, Richard, David Hart, Wayne Pfeiffer, et al.. (2011). Trestles. 1–7. 11 indexed citations
4.
Young, William S., et al.. (1999). Genesis Development Project - Overview. All Days. 4 indexed citations
5.
Young, William S. & Charles L. Brooks. (1997). A reexamination of the hydrophobic effect: Exploring the role of the solvent model in computing the methane–methane potential of mean force. The Journal of Chemical Physics. 106(22). 9265–9269. 62 indexed citations
6.
Young, William S. & Charles L. Brooks. (1996). A Microscopic View of Helix Propagation: N and C-terminal Helix Growth in Alanine Helices. Journal of Molecular Biology. 259(3). 560–572. 107 indexed citations
7.
Ősapay, Klára, William S. Young, Donald Bashford, Charles L. Brooks, & David A. Case. (1996). Dielectric Continuum Models for Hydration Effects on Peptide Conformational Transitions. The Journal of Physical Chemistry. 100(7). 2698–2705. 50 indexed citations
8.
Young, William S., et al.. (1996). Porting third-party applications packages to the Cray T3D: Programming issues and scalability results. Parallel Computing. 22(8). 1073–1089. 1 indexed citations
9.
Young, William S., et al.. (1996). Transport and housing infrastructure change and energy consumption. 18(6). 1 indexed citations
10.
Young, William S. & Charles L. Brooks. (1995). Dynamic load balancing algorithms for replicated data molecular dynamics. Journal of Computational Chemistry. 16(6). 715–722. 6 indexed citations
11.
Young, William S. & Charles L. Brooks. (1994). Implementation of a data parallel, logical domain decomposition method for interparticle interactions in molecular dynamics of structured molecular fluids. Journal of Computational Chemistry. 15(1). 44–53. 4 indexed citations
12.
Faber, Donald S., William S. Young, Pascal Legendre, & Henri Korn. (1992). Intrinsic Quantal Variability Due to Stochastic Properties of Receptor-Transmitter Interactions. Science. 258(5087). 1494–1498. 136 indexed citations
13.
Gu, Qing, Anna Haines, & William S. Young. (1992). The development of a land use/transport interaction model: report 2. 4 indexed citations
14.
Brooks, Charles L., William S. Young, & Douglas J. Tobias. (1991). Molecular Simulations On Supercomputers. 5(4). 98–112. 10 indexed citations
15.
Young, William S.. (1985). Thresholds and spatial analysis models. 1 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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