Jon Rokne
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research
Papers in
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- Numerical Methods and Algorithms 32
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- Numerical methods in engineering 43
- Elasticity and Wave Propagation 23
- Co-authors
- Reda Alhajj (79 shared papers)H. Ratschek (22 shared papers)Alan J. Mayne (1 shared paper)Ranjit S. Dhaliwal (57 shared papers)Tamer N. Jarada (6 shared papers)Gladimir V. G. Baranoski (24 shared papers)Kashfia Sailunaz (6 shared papers)Marina L. Gavrilova (12 shared papers)
In The Last Decade
Jon Rokne
242 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 190
- Computer Graphics and Computer-Aided Design 355
- Numerical Analysis 264
- Computational Theory and Mathematics 752
- Signal Processing 244
- Statistical and Nonlinear Physics 237
Countries citing papers authored by Jon Rokne
This map shows the geographic impact of Jon Rokne'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 Jon Rokne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Rokne more than expected).
Fields of papers citing papers by Jon Rokne
This network shows the impact of papers produced by Jon Rokne. 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 Jon Rokne. The network helps show where Jon Rokne may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Rokne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 267 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 382 | |
| 2 | 2020 | 240 | |
| 3 | 2014 | 177 | |
| 4 | 2018 | 166 | |
| 5 | 2019 | 56 | |
| 6 | 2019 | 53 | |
| 7 | 2005 | 50 | |
| 8 | 2012 | 49 | |
| 9 | 1997 | 45 | |
| 10 | 1971 | 45 | |
| 11 | 1989 | 44 | |
| 12 | 2021 | 43 | |
| 13 | 1987 | 41 | |
| 14 | 2020 | 40 | |
| 15 | 1971 | 39 | |
| 16 | 2003 | 39 | |
| 17 | 2001 | 37 | |
| 18 | 2023 | 36 | |
| 19 | 2001 | 34 | |
| 20 | 1992 | 34 |
About Jon Rokne
Jon Rokne is a scholar working on Computational Theory and Mathematics, Mechanics of Materials, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 267 papers that have together received 3.2k indexed citations. Recurring topics across this work include Numerical methods in engineering (43 papers), Numerical Methods and Algorithms (32 papers), Computer Graphics and Visualization Techniques (31 papers), Advanced Numerical Analysis Techniques (25 papers), Elasticity and Wave Propagation (23 papers), Computational Geometry and Mesh Generation (21 papers), Iterative Methods for Nonlinear Equations (15 papers) and Bioinformatics and Genomic Networks (14 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (355 citations), Numerical Analysis (264 citations), Computational Theory and Mathematics (752 citations), Signal Processing (244 citations) and Statistical and Nonlinear Physics (237 citations). Jon Rokne has collaborated with scholars based in Canada, Türkiye and Denmark. Frequent co-authors include Reda Alhajj, H. Ratschek, Alan J. Mayne, Ranjit S. Dhaliwal, Tamer N. Jarada, Gladimir V. G. Baranoski, Kashfia Sailunaz, Marina L. Gavrilova, Brij Mohan Singh and Qun Lin. Their work appears in journals such as Computing, European Journal of Mechanics - A/Solids, Journal of Thermal Stresses, Engineering Fracture Mechanics and The Visual Computer.
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.