Anders P. Eriksson

3.3k citations
86 papers · 2.3k · h-index 25

Impact in

Papers in

Anders P. Eriksson

81 papers receiving 2.3k citations

Peers

Anders P. Eriksson
Comparison fields: 5 of 150
  • Computer Vision and Pattern Recognition 1.2k
  • Computer Graphics and Computer-Aided Design 156
  • Computational Mechanics 628
  • Computational Mathematics 15
  • Aerospace Engineering 482
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Yanxi Liu United States
A. Ben Hamza Canada
Vladimir Golkov Germany
Alejandro Newell United States
Konstantinos G. Derpanis Canada
Sung Yong Shin South Korea
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Frank P. Ferrie Canada
Shinji Umeyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by Anders P. Eriksson

Since Specialization
Citations

This map shows the geographic impact of Anders P. 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 P. 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 P. Eriksson more than expected).

Fields of papers citing papers by Anders P. Eriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anders P. 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 P. Eriksson Line = papers co-authored together Anders P. Eriksson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013231
2 2011213
3 2019177
4 1995158
5 2010157
6 198987
7 199086
8 201067
9 201863
10 201259
11 198750
12 200149
13 201648
14 201948
15 201646
16 201545
17 201643
18 199041
19 200737
20 201935

About Anders P. Eriksson

Anders P. Eriksson is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Numerical Analysis and Aerospace Engineering, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (15 papers), Advanced Vision and Imaging (15 papers), Robotics and Sensor-Based Localization (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), 3D Shape Modeling and Analysis (9 papers), Advanced Optimization Algorithms Research (8 papers), Medical Image Segmentation Techniques (8 papers) and Prostate Cancer Treatment and Research (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Computer Graphics and Computer-Aided Design (156 citations), Computational Mechanics (628 citations), Computational Mathematics (15 citations) and Aerospace Engineering (482 citations). Anders P. Eriksson has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Anton van den Hengel, Carl Olsson, Tat-Jun Chin, Simon Lucey, Hilton Bristow, Reinhard Stege, Fredrik Kahl, Qinfeng Shi, Chunhua Shen and Peter Henriksson. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding, Journal of Forensic Sciences, International Journal of Andrology and American Journal of Forensic Medicine & Pathology.

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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