Jon Rokne

6.5k total citations
265 papers, 3.1k citations indexed

About

Jon Rokne is a scholar working on Computational Theory and Mathematics, Mechanics of Materials and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jon Rokne has authored 265 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computational Theory and Mathematics, 55 papers in Mechanics of Materials and 42 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jon Rokne's work include Numerical methods in engineering (43 papers), Numerical Methods and Algorithms (32 papers) and Computer Graphics and Visualization Techniques (31 papers). Jon Rokne is often cited by papers focused on Numerical methods in engineering (43 papers), Numerical Methods and Algorithms (32 papers) and Computer Graphics and Visualization Techniques (31 papers). Jon Rokne collaborates with scholars based in Canada, Türkiye and Denmark. Jon Rokne's co-authors include Reda Alhajj, H. Ratschek, Alan J. Mayne, Ranjit S. Dhaliwal, Tamer N. Jarada, Gladimir V. G. Baranoski, Marina L. Gavrilova, Kashfia Sailunaz, Qun Lin and Brij Mohan Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jon Rokne

239 papers receiving 2.9k citations

Peers

Jon Rokne
Comparison fields: 5 of 191
  • Computational Theory and Mathematics 759
  • Artificial Intelligence 467
  • Mechanics of Materials 400
  • Computer Vision and Pattern Recognition 379
  • Computer Graphics and Computer-Aided Design 355
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Citations per field, relative to Jon Rokne
Jon Rokne · 1×
Citations per year, relative to Jon Rokne
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Countries citing papers authored by Jon Rokne

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jon Rokne

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Rokne. A scholar is included among the top collaborators of Jon Rokne based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jon Rokne. Jon Rokne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 0
6 1
7 2
8 23
9 1
10 49
11 4
12
A micro 64-tree structure for accelerating ray tracing on a GPU
1
13 1
14 50
15
Modeling and simulating the deformation of human skeletal muscle based on anatomy and physiology: Virtual Humans and Social Agents
2
16
An Introduction to Light Interaction with Plants.
1
17 1
18 8
19 1
20 8

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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