Scott Hampton

21 papers receiving 334 citations

Peers

Scott Hampton
Comparison fields: 5 of 87
  • Hardware and Architecture 79
  • Toxicology 30
  • Statistics and Probability 41
  • Computer Networks and Communications 59
  • Statistical and Nonlinear Physics 30
Replace James C. Sexton with:
James C. Sexton Ireland
Karsten Kahl Germany
P. J. Eberlein United States
Earl T. Campbell United Kingdom
Y. Joanna Wong United States
Vladimir Kazeev Switzerland
Tatsuro Ito Japan
Jiang Zhou China
Marcus P. da Silva United States
Kishor Bharti Singapore
Scott Hampton relative to James C. Sexton Ireland James C. Sexton's profile →
Citations per field
00.5×1.5×2.3×
James C. Sexton · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Scott Hampton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Hampton Line = papers co-authored together Scott Hampton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200462
2 200459
3 200634
4 200529
5 200926
6 200723
7 201721
8 201217
9 201017
10 201013
11 200811
12 20088
13 20057
14 20055
15
Porting LAMMPS to GPUs.
20105
16 20104
17 20194
18 20192
19 20181
20 20201

About Scott Hampton

Scott Hampton is a scholar working on Hardware and Architecture, Computer Networks and Communications, Molecular Biology, Information Systems and Management and Statistical and Nonlinear Physics, having authored 21 papers that have together received 350 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (6 papers), Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (4 papers), Nanopore and Nanochannel Transport Studies (2 papers), Protein Structure and Dynamics (2 papers), Parasitic Diseases Research and Treatment (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Hardware and Architecture (79 citations), Toxicology (30 citations), Statistics and Probability (41 citations), Computer Networks and Communications (59 citations) and Statistical and Nonlinear Physics (30 citations). Scott Hampton has collaborated with scholars based in United States, Switzerland and Norway. Frequent co-authors include Jesús A. Izaguirre, Pratul K. Agarwal, Sadaf R. Alam, Paul Crozier, Stuart Dickson, Troy Raeder, Qun Ma, Robert D. Skeel, Trevor Cickovski and Benjamin K. Mayala. Their work appears in journals such as ACM Transactions on Mathematical Software, Journal of Vascular Surgery Venous and Lymphatic Disorders, BMC Medicine, Journal of Parallel and Distributed Computing and Journal of Applied Physics.

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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