Daniel Fontijne
Impact in
- Applied Mathematics top 5%
- Algebraic and Geometric Analysis
Papers in
-
- Advanced Image and Video Retrieval Techniques 2
- Multimodal Machine Learning Applications 2
-
- Algebraic and Geometric Analysis 4
- Co-authors
- Leo Dorst (6 shared papers)Stephen Mann (1 shared paper)Sundar Subramanian (1 shared paper)Radhika Gowaikar (1 shared paper)Sean Lee (1 shared paper)Michael Hamilton (1 shared paper)Amin Ansari (1 shared paper)Slawomir K. Grzechnik (1 shared paper)
- Journals
- IEEE Computer Graphics and Applications (1 paper)UvA-DARE (University of Amsterdam) (4 papers)IEEE Conference Proceedings (1 paper)Kyoto University Research Information Repository (Kyoto University) (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Daniel Fontijne
11 papers receiving 502 citations
Peers
Comparison fields: 5 of 70
- Applied Mathematics 173
- Computer Graphics and Computer-Aided Design 33
- Computer Vision and Pattern Recognition 160
- Geometry and Topology 56
- Algebra and Number Theory 27
Countries citing papers authored by Daniel Fontijne
This map shows the geographic impact of Daniel Fontijne'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 Daniel Fontijne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fontijne more than expected).
Fields of papers citing papers by Daniel Fontijne
This network shows the impact of papers produced by Daniel Fontijne. 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 Daniel Fontijne. The network helps show where Daniel Fontijne may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fontijne, 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 | Geometric Algebra for Computer Science: An Object-Oriented Approach to Geometry | 2007 | 222 |
| 2 | 2019 | 135 | |
| 3 | 2003 | 36 | |
| 4 | 2006 | 33 | |
| 5 | 2004 | 32 | |
| 6 | MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video | 2014 | 23 |
| 7 | 2006 | 21 | |
| 8 | 2021 | 17 | |
| 9 | Qualcomm Research and University of Amsterdam at TRECVID 2015: Recognizing Concepts, Objects, and Events in Video | 2015 | 8 |
| 10 | 2003 | 8 | |
| 11 | An Algebraic Foundation for Object-Oriented Euclidean Geometry (Innovative Teaching of Mathematics with Geometric Algebra) | 2004 | 2 |
| 12 | Rigid Body Simulation and Evolution of Virtual Creatures | 2000 | 0 |
About Daniel Fontijne
Daniel Fontijne is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Geometry and Topology, Artificial Intelligence and Aerospace Engineering, having authored 12 papers that have together received 537 indexed citations. Recurring topics across this work include Algebraic and Geometric Analysis (4 papers), Mathematics and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Hermeneutics and Narrative Identity (1 paper) and 3D Modeling in Geospatial Applications (1 paper). The work is most often cited by research in Applied Mathematics (173 citations), Computer Graphics and Computer-Aided Design (33 citations), Computer Vision and Pattern Recognition (160 citations), Geometry and Topology (56 citations) and Algebra and Number Theory (27 citations). Daniel Fontijne has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Leo Dorst, Stephen Mann, Sundar Subramanian, Radhika Gowaikar, Sean Lee, Michael Hamilton, Amin Ansari, Slawomir K. Grzechnik, Dietmar Hildenbrand and Christian Perwaß. Their work appears in journals such as IEEE Computer Graphics and Applications, UvA-DARE (University of Amsterdam), IEEE Conference Proceedings, Kyoto University Research Information Repository (Kyoto University) 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.