Martin Byröd

607 total citations
11 papers, 260 citations indexed

About

Martin Byröd is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Martin Byröd has authored 11 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 4 papers in Computational Mechanics. Recurrent topics in Martin Byröd's work include Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Martin Byröd is often cited by papers focused on Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Martin Byröd collaborates with scholars based in Sweden, Czechia and Canada. Martin Byröd's co-authors include Klas Josephson, Kalle Åström, Zuzana Kúkelová, Tomáš Pajdla, Matthew Brown, Fredrik Kahl, Yubin Kuang, Carl Olsson and Magnus Oskarsson and has published in prestigious journals such as International Journal of Computer Vision, Computer Vision and Image Understanding and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Martin Byröd

11 papers receiving 253 citations

Peers

Martin Byröd

CVPR

AE

CM

MT

CSE

Klas Josephson Sweden

Frederik Schaffalitzky United Kingdom

Martin Bujnak Czechia

Sohaib Khan Pakistan

Yongduek Seo South Korea

Ronald A. Cain United States

Pau Gargallo Spain

Pascal Lagger Switzerland

Federica Arrigoni Italy

Enliang Zheng United States

Klas Josephson Sweden

Martin Byröd

248 ×1.1

CVPR

168 ×1.2

AE

43 ×1.1

CM

34 ×0.9

MT

24 ×1.3

CSE

Citations per year, relative to Martin Byröd Martin Byröd (= 1×) peers Klas Josephson

Countries citing papers authored by Martin Byröd

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Kuang, Yubin, Martin Byröd, & Kalle Åström. (2011). Supervised feature quantization with entropy optimization. Lund University Publications (Lund University). 1386–1393. 7 indexed citations

2.

Kuang, Yubin, et al.. (2011). Optimizing Visual Vocabularies Using Soft Assignment Entropies. 6495. 255–268. 1 indexed citations

3.

Byröd, Martin, Matthew Brown, & Kalle Åström. (2009). Minimal Solutions for Panoramic Stitching with Radial Distortion. 41.1–41.11. 21 indexed citations

4.

Josephson, Klas & Martin Byröd. (2009). Pose estimation with radial distortion and unknown focal length. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2419–2426. 58 indexed citations

5.

Olsson, Carl, et al.. (2009). Extending continuous cuts: Anisotropic metrics and expansion moves. Lund University Publications (Lund University). 66. 405–412. 9 indexed citations

6.

Byröd, Martin, Klas Josephson, & Kalle Åström. (2009). Fast and Stable Polynomial Equation Solving and Its Application to Computer Vision. International Journal of Computer Vision. 84(3). 237–256. 48 indexed citations

7.

Byröd, Martin & Kalle Åström. (2009). Bundle Adjustment using Conjugate Gradients with Multiscale Preconditioning. Lund University Publications (Lund University). 36.1–36.10. 16 indexed citations

8.

Kúkelová, Zuzana, Martin Byröd, Klas Josephson, Tomáš Pajdla, & Kalle Åström. (2008). Fast and robust numerical solutions to minimal problems for cameras with radial distortion. Computer Vision and Image Understanding. 114(2). 234–244. 19 indexed citations

9.

Byröd, Martin, Zuzana Kúkelová, Klas Josephson, Tomáš Pajdla, & Kalle Åström. (2008). Fast and robust numerical solutions to minimal problems for cameras with radial distortion. Lund University Publications (Lund University). 1–8. 36 indexed citations

10.

Josephson, Klas, Martin Byröd, Fredrik Kahl, & Kalle Åström. (2007). Image-Based Localization Using Hybrid Feature Correspondences. Lund University Publications (Lund University). 1–8. 14 indexed citations

11.

Byröd, Martin, Klas Josephson, & Kalle Åström. (2007). Improving Numerical Accuracy of Gr�bner Basis Polynomial Equation Solvers. Lund University Publications (Lund University). 1–8. 31 indexed citations

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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