Anders Eriksson

3.2k citations
72 papers · 2.0k · h-index 24

Impact in

Papers in

Anders Eriksson

69 papers receiving 1.9k citations

Peers

Anders Eriksson
Comparison fields: 5 of 148
  • Computer Vision and Pattern Recognition 963
  • Computer Graphics and Computer-Aided Design 98
  • Computational Mathematics 15
  • Computational Mechanics 493
  • Media Technology 148
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Yanxi Liu United States
Vladimir Golkov Germany
Joan Lasenby United Kingdom
Jian Yang China
Feng Jiang China
Rob MacLeod United States
Luping Zhou Australia
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Christopher Zach United States
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Citations per field
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Citations per year

Countries citing papers authored by Anders Eriksson

Since Specialization
Citations

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

Fields of papers citing papers by Anders Eriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anders Eriksson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anders Eriksson Line = papers co-authored together Anders Eriksson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013210
2 2011199
3 1995154
4 2010143
5 2019122
6 199080
7 198977
8 201055
9 198752
10 201249
11 200145
12 201640
13 199039
14 201638
15 201638
16 201537
17 201934
18 201930
19 200730
20 200729

About Anders Eriksson

Anders Eriksson is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Pulmonary and Respiratory Medicine, Aerospace Engineering and Artificial Intelligence, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (14 papers), Advanced Vision and Imaging (11 papers), Robotics and Sensor-Based Localization (9 papers), Prostate Cancer Treatment and Research (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Optimization Algorithms Research (7 papers), Medical Image Segmentation Techniques (6 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (963 citations), Computer Graphics and Computer-Aided Design (98 citations), Computational Mathematics (15 citations), Computational Mechanics (493 citations) and Media Technology (148 citations). Anders Eriksson has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Anton van den Hengel, Simon Lucey, Hilton Bristow, Carl Olsson, Tat-Jun Chin, Reinhard Stege, Chunhua Shen, Qinfeng Shi, Peter Henriksson and Sven V. Eriksson. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, American Journal of Forensic Medicine & Pathology, Journal of Mathematical Imaging and Vision, Journal of Forensic Sciences and Computer Vision and Image Understanding.

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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