John E. Stone

13.1k citations
64 papers · 6.4k indexed · 4 hit papers · h-index 32

John E. Stone

62 papers receiving 6.2k citations

Hit Papers

OpenCL: A Parallel Programming Standard for Heterogeneous...90220072026201320192505007501000

Peers

John E. Stone
Comparison fields: 5 of 180
  • Hardware and Architecture 1.6k
  • Structural Biology 133
  • Computer Networks and Communications 1.5k
  • Computer Graphics and Computer-Aided Design 197
  • Computer Vision and Pattern Recognition 710
Replace Matteo Frigo with:
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John E. Stone relative to Matteo Frigo United States Matteo Frigo's profile →
Citations per field
00.5×11×
Matteo Frigo · 1×
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-authorship network

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
#Work
1 202345
2 20223
3 20211
4 20208
5 2018159
6 2016145
7 201623
8 201620
9 201619
10 20167
11 20154
12 20145
13 201410
14 201436
15 201462
16
OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systemsbreakdown →
2010902
17 2010298
18 200947
19
GPU Computingbreakdown →
2008809
20 200896

About John E. Stone

John E. Stone is a scholar working on Structural Biology, Hardware and Architecture and Computer Graphics and Computer-Aided Design, having authored 64 papers that have together received 6.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (21 papers), Parallel Computing and Optimization Techniques (19 papers), Distributed and Parallel Computing Systems (18 papers), Advanced Data Storage Technologies (11 papers), Enzyme Structure and Function (9 papers), Computer Graphics and Visualization Techniques (5 papers), Advanced Electron Microscopy Techniques and Applications (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Hardware and Architecture (1.6k citations), Structural Biology (133 citations) and Computer Networks and Communications (1.5k citations). John E. Stone has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include J. C. Phillips, Klaus Schulten, Guochun Shi, John D. Owens, David Luebke, Michael Houston, David W. Gohara, David J. Hardy, Peter L. Freddolino and Leonardo G. Trabuco. Their work appears in journals such as Computing in Science & Engineering, Parallel Computing, Journal of Chemical Information and Modeling, Journal of Molecular Graphics and Modelling 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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