John Kessenich
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Computer Graphics and Visualization Techniques 2
- Computational Geometry and Mesh Generation 2
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- Geological Modeling and Analysis 3
- Journals
- Cladistics (1 paper)Design Automation Conference (1 paper)CERN Document Server (European Organization for Nuclear Research) (3 papers)
- Partner nations
- United States
In The Last Decade
John Kessenich
7 papers receiving 368 citations
Peers
Comparison fields: 5 of 84
- Computer Graphics and Computer-Aided Design 157
- Hardware and Architecture 58
- Computer Vision and Pattern Recognition 171
- Human-Computer Interaction 25
- Computational Mechanics 82
Countries citing papers authored by John Kessenich
This map shows the geographic impact of John Kessenich'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 Kessenich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Kessenich more than expected).
Fields of papers citing papers by John Kessenich
This network shows the impact of papers produced by John Kessenich. 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 Kessenich. The network helps show where John Kessenich may publish in the future.
Co-authorship network
The 4 scholars most cited alongside John Kessenich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 21 | |
| 2 | OpenGL programming guide: the official guide to learning OpenGL, version 4.5 with SPIR-V | 2017 | 23 |
| 3 | OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 4.3 | 2013 | 55 |
| 4 | The OpenGL® Shading Language | 2006 | 90 |
| 5 | OpenGL shading language | 2004 | 219 |
| 6 | 1986 | 3 | |
| 7 | 1986 | 3 |
About John Kessenich
John Kessenich is a scholar working on Computer Graphics and Computer-Aided Design, Geochemistry and Petrology, Hardware and Architecture, Computer Vision and Pattern Recognition and Building and Construction, having authored 7 papers that have together received 414 indexed citations. Recurring topics across this work include Geological Modeling and Analysis (3 papers), VLSI and FPGA Design Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers), Augmented Reality Applications (2 papers), Computational Geometry and Mesh Generation (2 papers), Modular Robots and Swarm Intelligence (1 paper), DNA and Biological Computing (1 paper) and 3D Modeling in Geospatial Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (157 citations), Hardware and Architecture (58 citations), Computer Vision and Pattern Recognition (171 citations), Human-Computer Interaction (25 citations) and Computational Mechanics (82 citations). John Kessenich has collaborated with scholars based in United States. Frequent co-authors include Randi J. Rost, Barthold Lichtenbelt, Dave Shreiner and Mark P. Simmons. Their work appears in journals such as Cladistics, Design Automation Conference and CERN Document Server (European Organization for Nuclear Research).
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.