John Clyne

1.0k citations
34 papers · 709 · h-index 12

Impact in

Papers in

John Clyne

33 papers receiving 674 citations

Peers

John Clyne
Comparison fields: 5 of 61
  • Computer Graphics and Computer-Aided Design 200
  • Computer Vision and Pattern Recognition 243
  • Astronomy and Astrophysics 175
  • Hardware and Architecture 57
  • Atmospheric Science 130
Replace Alan Norton with:
Alan Norton United States
Terry J. Ligocki United States
Shaomeng Li United States
W. P. Dannevik United States
Ross Heikes United States
Mark Rast United States
Emanuele Danovaro Italy
Patricia Fasel United States
M. J. Lijewski United States
Leigh Orf United States
John Clyne relative to Alan Norton United States Alan Norton's profile →
Citations per field
00.5×6.1×
Alan Norton · 1×
Citations per year

Countries citing papers authored by John Clyne

Since Specialization
Citations

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

Fields of papers citing papers by John Clyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007189
2 201996
3 200560
4 201857
5 200247
6 200143
7 202338
8 201736
9 201517
10 200815
11 201713
12 199911
13 201711
14 201210
15 200510
16 19987
17 20176
18 20216
19
The VAPOR Visualization Application.
20125
20 20095

About John Clyne

John Clyne is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Computational Mechanics and Artificial Intelligence, having authored 34 papers that have together received 709 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (16 papers), Image and Signal Denoising Methods (10 papers), Advanced Data Compression Techniques (9 papers), Data Visualization and Analytics (8 papers), Meteorological Phenomena and Simulations (6 papers), Advanced Vision and Imaging (5 papers), Algorithms and Data Compression (4 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (200 citations), Computer Vision and Pattern Recognition (243 citations), Astronomy and Astrophysics (175 citations), Hardware and Architecture (57 citations) and Atmospheric Science (130 citations). John Clyne has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Mark Rast, Shaomeng Li, Pablo D. Mininni, Alan Norton, Kwan‐Liu Ma, Eric B. Lum, Leigh Orf, Hank Childs, Peter Lindström and Jonathan Woodring. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, New Journal of Physics, Theoretical and Computational Fluid Dynamics, Atmosphere and Physics of Fluids.

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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