Anders Heyden

10.7k total citations · 1 hit paper
173 papers, 6.6k citations indexed

About

Anders Heyden is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Anders Heyden has authored 173 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Computer Vision and Pattern Recognition, 41 papers in Aerospace Engineering and 31 papers in Media Technology. Recurrent topics in Anders Heyden's work include Advanced Vision and Imaging (87 papers), Optical measurement and interference techniques (50 papers) and Robotics and Sensor-Based Localization (41 papers). Anders Heyden is often cited by papers focused on Advanced Vision and Imaging (87 papers), Optical measurement and interference techniques (50 papers) and Robotics and Sensor-Based Localization (41 papers). Anders Heyden collaborates with scholars based in Sweden, China and Norway. Anders Heyden's co-authors include Gunnar Sparr, Peter Johansen, Mads Nielsen, Kalle Åström, Fredrik Kahl, Björn Nilsson, Mark C.M. van Loosdrecht, Cristian Picioreanu, Ola Dahl and Henrik S. Huitfeldt and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Automatica and Environmental Health Perspectives.

In The Last Decade

Anders Heyden

169 papers receiving 6.3k citations

Hit Papers

Proceedings European Conference on Computer Vision 2002 2002 2026 2010 2018 2002 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anders Heyden Sweden 23 4.6k 1.3k 894 815 466 173 6.6k
Song Bai China 42 5.6k 1.2× 2.4k 1.8× 855 1.0× 691 0.8× 420 0.9× 115 8.1k
R.M. Haralick United States 25 4.0k 0.9× 1.0k 0.8× 750 0.8× 1.1k 1.3× 327 0.7× 138 6.6k
J. Illingworth United Kingdom 24 4.4k 0.9× 662 0.5× 834 0.9× 1.1k 1.4× 466 1.0× 90 6.3k
Pablo Arbeláez Colombia 28 7.8k 1.7× 1.8k 1.4× 848 0.9× 1.6k 2.0× 365 0.8× 79 9.8k
Alessandro Verri Italy 31 3.5k 0.8× 1.0k 0.8× 895 1.0× 655 0.8× 274 0.6× 138 6.0k
Victor Lempitsky Russia 38 6.3k 1.4× 1.7k 1.3× 649 0.7× 1.0k 1.2× 475 1.0× 74 7.9k
Martin D. Levine Canada 37 3.9k 0.8× 957 0.7× 792 0.9× 717 0.9× 431 0.9× 142 5.7k
Song Wang United States 39 4.5k 1.0× 1.4k 1.0× 600 0.7× 719 0.9× 446 1.0× 334 8.2k
Hanzi Mao United States 5 3.8k 0.8× 1.9k 1.5× 606 0.7× 869 1.1× 496 1.1× 8 7.8k
Tsung-Yi Lin United States 22 5.1k 1.1× 3.0k 2.3× 1.2k 1.3× 866 1.1× 469 1.0× 40 10.1k

Countries citing papers authored by Anders Heyden

Since Specialization
Citations

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

Fields of papers citing papers by Anders Heyden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anders Heyden

This figure shows the co-authorship network connecting the top 25 collaborators of Anders Heyden. A scholar is included among the top collaborators of Anders Heyden 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 Anders Heyden. Anders Heyden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Larsson, Viktor, et al.. (2024). Fast Relative Pose Estimation using Relative Depth. Lund University Publications (Lund University). 873–881. 1 indexed citations
2.
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
3.
Arvidsson, Ida, et al.. (2021). Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy using Deep Neural Networks. Lund University Publications (Lund University). 4442–4449. 4 indexed citations
4.
Arvidsson, Ida, et al.. (2020). An Artificial Intelligence–based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies. European Urology Focus. 7(5). 995–1001. 33 indexed citations
5.
Heyden, Anders, et al.. (2015). Discrete Optimal View Path Planning. Lund University Publications (Lund University). 411–419. 3 indexed citations
6.
Heyden, Anders. (2013). Energy minimization methods in computer vision and pattern recognition : 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013, proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations
7.
Nilsson, Björn, Mikael Johansson, Anders Heyden, Sven Nelander, & Thoas Fioretos. (2008). An improved method for detecting and delineating genomic regions with altered gene expression in cancer. Genome biology. 9(1). R13–R13. 14 indexed citations
8.
Dahl, Ola & Anders Heyden. (2008). Exact Observer Error Linearization for Perspective Dynamic Systems. Malmö University Publications (Malmö University). 43–46. 1 indexed citations
9.
Heyden, Anders, et al.. (2007). Variational Segmentation and Contour Matching of Non-Rigid Moving Object. Malmö University Publications (Malmö University).
10.
Dahl, Ola, Fredrik Nyberg, & Anders Heyden. (2007). Nonlinear and Adaptive Observers for Perspective Dynamic Systems. Proceedings of the ... American Control Conference. 966–971. 27 indexed citations
11.
Dahl, Ola, Anders Heyden, & Fredrik Nyberg. (2007). Provably stable nonlinear and adaptive observers for dynamic structure and motion estimation. Malmö University Publications (Malmö University). 2 indexed citations
12.
13.
Dahl, Ola, Fredrik Nyberg, & Anders Heyden. (2007). On Observer Error Linearization for Perspective Dynamic Systems. Proceedings of the ... American Control Conference. 266–268. 4 indexed citations
14.
Picioreanu, Cristian, et al.. (2006). Three‐dimensional biofilm model with individual cells and continuum EPS matrix. Biotechnology and Bioengineering. 94(5). 961–979. 156 indexed citations
15.
Solem, Jan Erik, Henrik Aanæs, & Anders Heyden. (2006). Variational Surface Interpolation from Sparse Point and Normal Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(1). 181–184. 8 indexed citations
16.
Kahl, Fredrik & Anders Heyden. (2002). Euclidean reconstruction and auto-calibration from continuous motion. 2. 572–577. 9 indexed citations
17.
Seo, Yongduek, Anders Heyden, & Ki-Sang Hong. (2000). Flexible Auto-Calibration and Its Application to Augmented Reality.. Machine Vision and Applications. 23–26. 2 indexed citations
18.
Heyden, Anders, et al.. (1998). Recognition of Planar Point Configurations using the Density of Affine Shape. Lund University Publications (Lund University). 3 indexed citations
19.
Heyden, Anders. (1997). Projective Structure and Motion from Image Sequences using Subspace Methods. Lund University Publications (Lund University). 963–968. 36 indexed citations
20.
Heyden, Anders & Karl Rohr. (1996). Evaluation of Corner Extraction Schemes Using Invariance Methods. Lund University Publications (Lund University). 1 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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