Leo Dorst
Impact in
- Applied Mathematics top 2%
- Algebraic and Geometric Analysis
Papers in
-
- Digital Image Processing Techniques 9
- Image and Object Detection Techniques 8
- Robotic Path Planning Algorithms 7
- Advanced Vision and Imaging 5
-
- Algebraic and Geometric Analysis 22
- Co-authors
- Stephen Mann (7 shared papers)A.W.M. Smeulders (6 shared papers)Daniel Fontijne (6 shared papers)R. van den Boomgaard (2 shared papers)Chris Doran (2 shared papers)Joan Lasenby (2 shared papers)Robert P. W. Duin (1 shared paper)Dietmar Hildenbrand (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (6 papers)IEEE Computer Graphics and Applications (5 papers)Robotics and Autonomous Systems (2 papers)Mathematical Methods in the Applied Sciences (1 paper)Computers & Graphics (1 paper)
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
Leo Dorst
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Computer Graphics and Computer-Aided Design 130
- Applied Mathematics 338
- Computer Vision and Pattern Recognition 615
- Geometry and Topology 134
- Algebra and Number Theory 53
Countries citing papers authored by Leo Dorst
This map shows the geographic impact of Leo Dorst'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 Leo Dorst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo Dorst more than expected).
Fields of papers citing papers by Leo Dorst
This network shows the impact of papers produced by Leo Dorst. 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 Leo Dorst. The network helps show where Leo Dorst may publish in the future.
Co-authors
The 25 scholars most cited alongside Leo Dorst, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Geometric Algebra for Computer Science: An Object-Oriented Approach to Geometry | 2007 | 222 |
| 2 | 1987 | 105 | |
| 3 | 1984 | 98 | |
| 4 | 2002 | 73 | |
| 5 | 2002 | 58 | |
| 6 | 2002 | 56 | |
| 7 | 1994 | 51 | |
| 8 | 2005 | 47 | |
| 9 | 2002 | 43 | |
| 10 | 1989 | 37 | |
| 11 | 2003 | 36 | |
| 12 | 2011 | 34 | |
| 13 | 2004 | 32 | |
| 14 | Geometric algebra: A computational framework for geometrical applications (Part I: Algebra) | 2002 | 30 |
| 15 | 1996 | 30 | |
| 16 | 1984 | 27 | |
| 17 | 1986 | 26 | |
| 18 | Measurement issues in morphometry. | 1985 | 21 |
| 19 | 2006 | 21 | |
| 20 | Collision Avoidance and Path Finding through Constrained Distance Tranceformation in Robot State Space | 1986 | 20 |
About Leo Dorst
Leo Dorst is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Geometry and Topology, Computational Mechanics and Algebra and Number Theory, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Algebraic and Geometric Analysis (22 papers), Mathematics and Applications (14 papers), Advanced Numerical Analysis Techniques (11 papers), Digital Image Processing Techniques (9 papers), Advanced Topics in Algebra (8 papers), Image and Object Detection Techniques (8 papers), Robotic Path Planning Algorithms (7 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (130 citations), Applied Mathematics (338 citations), Computer Vision and Pattern Recognition (615 citations), Geometry and Topology (134 citations) and Algebra and Number Theory (53 citations). Leo Dorst has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Stephen Mann, A.W.M. Smeulders, Daniel Fontijne, R. van den Boomgaard, Chris Doran, Joan Lasenby, Robert P. W. Duin, Dietmar Hildenbrand, Arnold Smeulders and Christian Perwaß. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Graphics and Applications, Robotics and Autonomous Systems, Mathematical Methods in the Applied Sciences and Computers & Graphics.
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.