Martin Byröd
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Computational Mechanics
- Media Technology top 10%
- Control and Systems Engineering
- Co-authors
- Klas JosephsonKalle ÅströmZuzana KúkelováTomáš PajdlaMatthew BrownFredrik KahlYubin KuangCarl Olsson
- Topics
- Advanced Vision and Imaging (6 papers)Robotics and Sensor-Based Localization (5 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Graphics and Computer-Aided Design
- Journals
- International Journal of Computer VisionComputer Vision and Image Understanding2009 IEEE Conference on Computer Vision and Pattern Recognition
In The Last Decade
Martin Byröd
11 papers receiving 253 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 223
- Aerospace Engineering 136
- Computational Mechanics 39
- Media Technology 38
- Control and Systems Engineering 19
Countries citing papers authored by Martin Byröd
This map shows the geographic impact of Martin Byröd'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 Martin Byröd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Byröd more than expected).
Fields of papers citing papers by Martin Byröd
This network shows the impact of papers produced by Martin Byröd. 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 Martin Byröd. The network helps show where Martin Byröd may publish in the future.
Co-authorship network of co-authors of Martin Byröd
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Byröd. A scholar is included among the top collaborators of Martin Byröd 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 Martin Byröd. Martin Byröd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Optimizing Visual Vocabularies Using Soft Assignment Entropies | 1 |
| 3 | 21 | |
| 4 | 58 | |
| 5 | 9 | |
| 6 | 48 | |
| 7 | 16 | |
| 8 | 19 | |
| 9 | 36 | |
| 10 | 14 | |
| 11 | 31 |
About Martin Byröd
Martin Byröd is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics, having authored 11 papers that have together received 260 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (223 citations), Aerospace Engineering (136 citations) and Computer Graphics and Computer-Aided Design (17 citations). Martin Byröd has collaborated with scholars based in Sweden, Czechia and Canada. Frequent co-authors include Klas Josephson, Kalle Åström, Zuzana Kúkelová, Tomáš Pajdla, Matthew Brown, Fredrik Kahl, Yubin Kuang, Carl Olsson and Magnus Oskarsson. Their work appears in journals such as International Journal of Computer Vision, Computer Vision and Image Understanding and 2009 IEEE Conference on Computer Vision and Pattern Recognition.
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.