Leo Dorst

102 papers receiving 1.8k citations

Peers

Leo Dorst
Comparison fields: 5 of 117
  • Applied Mathematics 631
  • Computer Graphics and Computer-Aided Design 192
  • Computer Vision and Pattern Recognition 907
  • Geometry and Topology 284
  • Algebra and Number Theory 131
Replace Eduardo Bayro–Corrochano with:
Eduardo Bayro–Corrochano Mexico
Stephen Mann Canada
Ron Goldman United States
Hugh M. Hilden United States
Stephen J. Sangwine United Kingdom
Alyn Rockwood United States
Yuichi Ohta Japan
Bernard Mourrain France
Feng Luo United States
S. D. Riemenschneider Canada
Leo Dorst relative to Eduardo Bayro–Corrochano Mexico Eduardo Bayro–Corrochano's profile →
Citations per field
00.5×3.1×
Eduardo Bayro–Corrochano · 1×
Citations per year

Countries citing papers authored by Leo Dorst

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Leo Dorst Line = papers co-authored together Leo Dorst links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 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
2007289
2 1984128
3 1987125
4 2002102
5 199475
6 200765
7 200265
8 200264
9 200550
10 201146
11 200243
12 198941
13 200441
14 200340
15 199638
16 198437
17
Geometric algebra: A computational framework for geometrical applications (Part I: Algebra)
200235
18 200235
19 200932
20 198630

About Leo Dorst

Leo Dorst is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Geometry and Topology, Algebra and Number Theory and Computational Mechanics, having authored 109 papers that have together received 1.9k indexed citations. Recurring topics across this work include Algebraic and Geometric Analysis (38 papers), Mathematics and Applications (34 papers), Advanced Topics in Algebra (17 papers), Advanced Numerical Analysis Techniques (16 papers), Digital Image Processing Techniques (14 papers), Image and Object Detection Techniques (10 papers), Advanced Vision and Imaging (9 papers) and Robotic Path Planning Algorithms (8 papers). The work is most often cited by research in Applied Mathematics (631 citations), Computer Graphics and Computer-Aided Design (192 citations), Computer Vision and Pattern Recognition (907 citations), Geometry and Topology (284 citations) and Algebra and Number Theory (131 citations). Leo Dorst has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Stephen Mann, Daniel Fontijne, A.W.M. Smeulders, R. van den Boomgaard, Chris Doran, Joan Lasenby, Robert J. Valkenburg, Robert P. W. Duin, Dietmar Hildenbrand and Arnold Smeulders. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Graphics and Applications, Mathematical Methods in the Applied Sciences, Robotics and Autonomous Systems and Lecture notes in computer science.

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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