Scott Hampton

567 total citations
21 papers, 350 citations indexed

About

Scott Hampton is a scholar working on Hardware and Architecture, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Scott Hampton has authored 21 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 7 papers in Computer Networks and Communications and 4 papers in Molecular Biology. Recurrent topics in Scott Hampton's work include Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (6 papers) and Distributed and Parallel Computing Systems (5 papers). Scott Hampton is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (6 papers) and Distributed and Parallel Computing Systems (5 papers). Scott Hampton collaborates with scholars based in United States, Switzerland and Norway. Scott Hampton's co-authors include Jesús A. Izaguirre, Pratul K. Agarwal, Sadaf R. Alam, Paul Crozier, Stuart Dickson, Robert D. Skeel, Qun Ma, Trevor Cickovski, Troy Raeder and Edwin Michael and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Scott Hampton

21 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Hampton United States 11 89 79 59 53 41 21 350
James C. Sexton Ireland 14 32 0.4× 100 1.3× 108 1.8× 72 1.4× 60 1.5× 26 775
Y. Joanna Wong United States 4 14 0.2× 9 0.1× 20 0.3× 64 1.2× 32 0.8× 6 309
Vladimir Kazeev Switzerland 9 57 0.6× 10 0.1× 10 0.2× 51 1.0× 5 0.1× 17 326
Jiang Zhou China 15 7 0.1× 13 0.2× 30 0.5× 12 0.2× 9 0.2× 128 810
William Y. C. Chen China 16 91 1.0× 4 0.1× 53 0.9× 9 0.2× 40 1.0× 99 905
Yi‐Jun Chang China 13 14 0.2× 8 0.1× 142 2.4× 219 4.1× 9 0.2× 62 476
Jan L. Cieśliński Poland 14 16 0.2× 14 0.2× 16 0.3× 104 2.0× 3 0.1× 58 637
Nikolas P. Breuckmann United Kingdom 8 15 0.2× 6 0.1× 74 1.3× 126 2.4× 6 0.1× 16 431
Wenlong Wang United States 15 7 0.1× 8 0.1× 23 0.4× 278 5.2× 43 1.0× 46 673
Françoise Chatelin France 12 10 0.1× 3 0.0× 28 0.5× 101 1.9× 28 0.7× 31 559

Countries citing papers authored by Scott Hampton

Since Specialization
Citations

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

Fields of papers citing papers by Scott Hampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Hampton

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Hampton. A scholar is included among the top collaborators of Scott Hampton 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 Scott Hampton. Scott Hampton 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.
Hildreth, M., et al.. (2020). Large-scale HPC deployment of Scalable CyberInfrastructure for Artificial Intelligence and Likelihood Free Inference (SCAILFIN). SHILAP Revista de lepidopterología. 245. 9011–9011. 1 indexed citations
2.
Heryadi, Dodi & Scott Hampton. (2019). Characterizing Performance Improvement of GPUs. 1–5. 2 indexed citations
3.
Brenner, Paul, et al.. (2019). Support for HTCondor high-Throughput Computing Workflows in the REANA Reusable Analysis Platform. 630–631. 4 indexed citations
4.
Singh, Brajendra K., et al.. (2018). Continental-Scale, Data-Driven Predictive Assessment of Eliminating the Vector-Borne Disease, Lymphatic Filariasis, in Sub-Saharan Africa by 2020. Journal of Vascular Surgery Venous and Lymphatic Disorders. 6(2). 280–280. 1 indexed citations
5.
Michael, Edwin, Brajendra K. Singh, Benjamin K. Mayala, et al.. (2017). Continental-scale, data-driven predictive assessment of eliminating the vector-borne disease, lymphatic filariasis, in sub-Saharan Africa by 2020. BMC Medicine. 15(1). 176–176. 21 indexed citations
6.
Agarwal, Pratul K., et al.. (2012). Performance modeling of microsecond scale biological molecular dynamics simulations on heterogeneous architectures. Concurrency and Computation Practice and Experience. 25(10). 1356–1375. 17 indexed citations
7.
Hampton, Scott, Pratul K. Agarwal, Sadaf R. Alam, & Paul Crozier. (2010). Towards microsecond biological molecular dynamics simulations on hybrid processors. 98–107. 13 indexed citations
8.
Brown, William M., Steven J. Plimpton, Peng Wang, et al.. (2010). Porting LAMMPS to GPUs.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 indexed citations
9.
Smith, Melissa C., et al.. (2010). Energy efficient biomolecular simulations with FPGA-based reconfigurable computing. 83–84. 4 indexed citations
10.
Hampton, Scott, Sadaf R. Alam, Paul Crozier, & Pratul K. Agarwal. (2010). Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations. 1–11. 17 indexed citations
11.
Hampton, Scott, et al.. (2009). A separable shadow Hamiltonian hybrid Monte Carlo method. The Journal of Chemical Physics. 131(17). 174106–174106. 26 indexed citations
12.
Alam, Sadaf R., Pratul K. Agarwal, Scott Hampton, & Hong Ong. (2008). Experimental evaluation of molecular dynamics simulations on multi-core systems. IEEE International Conference on High Performance Computing, Data, and Analytics. 131–141. 8 indexed citations
13.
Alam, Sadaf R., Pratul K. Agarwal, Scott Hampton, Hong Ong, & Jeffrey S. Vetter. (2008). Impact of multicores on large-scale molecular dynamics simulations. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1668 1688. 1–7. 11 indexed citations
14.
Miller, John H., Stuart Dickson, Scott Hampton, et al.. (2007). Tobacco particulate matter is more potent than nicotine at upregulating nicotinic receptors on SH-SY5Y cells. Nicotine & Tobacco Research. 9(8). 793–799. 23 indexed citations
15.
Dickson, Stuart, et al.. (2006). The recovery of illicit drugs from oral fluid sampling devices. Forensic Science International. 165(1). 78–84. 34 indexed citations
16.
Wéber, Richárd, et al.. (2005). Er 3 + fluorescence in rare-earth aluminate glass. Journal of Applied Physics. 98(4). 7 indexed citations
17.
Hampton, Scott, et al.. (2005). MDSIMAID: Automatic parameter optimization in fast electrostatic algorithms. Journal of Computational Chemistry. 26(10). 1021–1031. 5 indexed citations
18.
Izaguirre, Jesús A., et al.. (2005). Parallel multigrid summation for the N-body problem. Journal of Parallel and Distributed Computing. 65(8). 949–962. 29 indexed citations
19.
Izaguirre, Jesús A. & Scott Hampton. (2004). Shadow hybrid Monte Carlo: an efficient propagator in phase space of macromolecules. Journal of Computational Physics. 200(2). 581–604. 59 indexed citations
20.
Cickovski, Trevor, et al.. (2004). ProtoMol, an object-oriented framework for prototyping novel algorithms for molecular dynamics. ACM Transactions on Mathematical Software. 30(3). 237–265. 62 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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