Mårten Wadenbäck

419 total citations
12 papers, 167 citations indexed

About

Mårten Wadenbäck is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Mårten Wadenbäck has authored 12 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in Mårten Wadenbäck's work include Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (8 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Mårten Wadenbäck is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (8 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Mårten Wadenbäck collaborates with scholars based in Sweden, India and Australia. Mårten Wadenbäck's co-authors include Johan Edstedt, Michael Felsberg, Ioannis N. Athanasiadis, Anders Heyden, Qiyu Sun, Kalle Åström, Patrik Persson, Zygmunt L. Szpak, Andreas Robinson and Wojciech Chojnacki and has published in prestigious journals such as Pattern Recognition Letters, Lund University Publications (Lund University) and Chalmers Research (Chalmers University of Technology).

In The Last Decade

Mårten Wadenbäck

12 papers receiving 165 citations

Peers

Mårten Wadenbäck

CVPR

AE

AI

GEOLO

MT

Johan Edstedt Sweden

Victor Fragoso United States

Juha Ylioinas Finland

Peter Stütz Germany

Alex Pon Canada

Y. Ono Japan

Daniel DeTone United States

Karel Lebeda United Kingdom

Patrick Poirson United States

Johan Edstedt Sweden

Mårten Wadenbäck

100 ×0.8

CVPR

58 ×0.7

AE

18 ×1.1

AI

10 ×0.7

GEOLO

14 ×1.0

MT

Citations per year, relative to Mårten Wadenbäck Mårten Wadenbäck (= 1×) peers Johan Edstedt

Countries citing papers authored by Mårten Wadenbäck

Since Specialization

Citations

This map shows the geographic impact of Mårten Wadenbäck'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 Mårten Wadenbäck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mårten Wadenbäck more than expected).

Fields of papers citing papers by Mårten Wadenbäck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mårten Wadenbäck. 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 Mårten Wadenbäck. The network helps show where Mårten Wadenbäck may publish in the future.

Co-authorship network of co-authors of Mårten Wadenbäck

This figure shows the co-authorship network connecting the top 25 collaborators of Mårten Wadenbäck. A scholar is included among the top collaborators of Mårten Wadenbäck 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 Mårten Wadenbäck. Mårten Wadenbäck 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:

12 of 12 papers shown

1.

Robinson, Andreas, et al.. (2024). TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis. 5620–5630. 2 indexed citations

2.

Edstedt, Johan, et al.. (2024). RoMa: Robust Dense Feature Matching. 19790–19800. 45 indexed citations

3.

Edstedt, Johan, et al.. (2024). DeDoDe: Detect, Don’t Describe — Describe, Don’t Detect for Local Feature Matching. Chalmers Research (Chalmers University of Technology). 148–157. 26 indexed citations

4.

Edstedt, Johan, Ioannis N. Athanasiadis, Mårten Wadenbäck, & Michael Felsberg. (2023). DKM: Dense Kernelized Feature Matching for Geometry Estimation. 17765–17775. 62 indexed citations

5.

Persson, Patrik, et al.. (2022). Trust Your IMU: Consequences of Ignoring the IMU Drift. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4467–4476. 9 indexed citations

6.

Chojnacki, Wojciech, Zygmunt L. Szpak, & Mårten Wadenbäck. (2020). The equivalence of two definitions of compatible homography matrices. Pattern Recognition Letters. 135. 38–43. 4 indexed citations

7.

Wadenbäck, Mårten, et al.. (2019). Planar Motion Bundle Adjustment. Lund University Publications (Lund University). 24–31. 1 indexed citations

8.

Wadenbäck, Mårten, M. Karlsson, Anders Heyden, Anders Robertsson, & Rolf Johansson. (2017). Visual Odometry from Two Point Correspondences and Initial Automatic Camera Tilt Calibration. Lund University Publications (Lund University). 340–346. 2 indexed citations

9.

Wadenbäck, Mårten, Kalle Åström, & Anders Heyden. (2016). Recovering planar motion from homographies obtained using a 2.5-point solver for a polynomial system. Lund University Publications (Lund University). 1. 2966–2970. 2 indexed citations

10.

Wadenbäck, Mårten & Anders Heyden. (2014). Ego-motion Recovery and Robust Tilt Estimation for Planar Motion using Several Homographies. Lund University Publications (Lund University). 635–639. 5 indexed citations

11.

Wadenbäck, Mårten & Anders Heyden. (2014). Trajectory Estimation Using Relative Distances Extracted from Inter-image Homographies. Lund University Publications (Lund University). 232–237. 2 indexed citations

12.

Wadenbäck, Mårten & Anders Heyden. (2013). Planar Motion and Hand-eye Calibration using Inter-image Homographies from a Planar Scene. Lund University Publications (Lund University). 164–168. 7 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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