John E. Stone

73 papers receiving 6.9k citations

John E. Stone's Hit Papers

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems 2010 · 1.0k citations
1.0k0+6+12Years since publication2505007501000

Peers

John E. Stone
Comparison fields: 5 of 183
  • Hardware and Architecture 1.8k
  • Structural Biology 138
  • Computer Networks and Communications 1.7k
  • Computer Graphics and Computer-Aided Design 234
  • Computer Vision and Pattern Recognition 843
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Citations per year

Countries citing papers authored by John E. Stone

Since Specialization
Citations

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

Fields of papers citing papers by John E. Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Stone. 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 John E. Stone. The network helps show where John E. Stone may publish in the future.

Co-authors

The 25 scholars most cited alongside John E. Stone, 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 John E. Stone Line = papers co-authored together John E. Stone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GPU Computing
Hit paper breakdown →
20081189
2
OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems
Hit paper breakdown →
20101009
3
GPU Computing
Hit paper breakdown →
2008892
4
Accelerating molecular modeling applications with graphics processors
Hit paper breakdown →
2007595
5 2010316
6
An efficient library for parallel ray tracing and animation
1998268
7 2011227
8 2009171
9 2018166
10 2001159
11 2008156
12 2016155
13 2010137
14 2016126
15 2008118
16 2010110
17 201294
18 200885
19 200882
20 201675

About John E. Stone

John E. Stone is a scholar working on Molecular Biology, Computer Networks and Communications, Hardware and Architecture, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 78 papers that have together received 7.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (25 papers), Parallel Computing and Optimization Techniques (20 papers), Distributed and Parallel Computing Systems (18 papers), Advanced Data Storage Technologies (12 papers), Enzyme Structure and Function (10 papers), Computer Graphics and Visualization Techniques (7 papers), Scientific Computing and Data Management (6 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Hardware and Architecture (1.8k citations), Structural Biology (138 citations), Computer Networks and Communications (1.7k citations), Computer Graphics and Computer-Aided Design (234 citations) and Computer Vision and Pattern Recognition (843 citations). John E. Stone has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include J. C. Phillips, Klaus Schulten, Guochun Shi, David Luebke, John D. Owens, Michael Houston, David W. Gohara, David J. Hardy, Leonardo G. Trabuco and Axel Kohlmeyer. Their work appears in journals such as Computing in Science & Engineering, Parallel Computing, Biophysical Journal, Journal of Chemical Information and Modeling and Journal of Computational Chemistry.

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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