Anders Eriksson

124 total papers · 3.2k total citations
72 papers, 2.0k citations indexed

About

Anders Eriksson is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anders Eriksson has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 19 papers in Computational Mechanics and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anders Eriksson's work include Sparse and Compressive Sensing Techniques (14 papers), Advanced Vision and Imaging (11 papers) and Robotics and Sensor-Based Localization (9 papers). Anders Eriksson is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Advanced Vision and Imaging (11 papers) and Robotics and Sensor-Based Localization (9 papers). Anders Eriksson collaborates with scholars based in Australia, Sweden and United States. Anders Eriksson's co-authors include Anton van den Hengel, Simon Lucey, Hilton Bristow, Carl Olsson, Tat-Jun Chin, Reinhard Stege, Qinfeng Shi, Chunhua Shen, Peter Henriksson and David Suter and has published in prestigious journals such as Journal of Clinical Investigation, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Neurochemistry.

In The Last Decade

Anders Eriksson

69 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anders Eriksson 961 490 375 245 212 72 2.0k
Andy Tsai 1.7k 1.7× 201 0.4× 115 0.3× 80 0.3× 276 1.3× 67 2.8k
Jian Yang 1.5k 1.5× 123 0.3× 148 0.4× 275 1.1× 377 1.8× 254 3.3k
Min Du 266 0.3× 234 0.5× 175 0.5× 61 0.2× 394 1.9× 172 2.9k
Supun Samarasekera 1.7k 1.7× 72 0.1× 522 1.4× 100 0.4× 290 1.4× 82 2.6k
Raghu Machiraju 1.0k 1.0× 450 0.9× 72 0.2× 87 0.4× 286 1.3× 143 2.4k
Chenyang Xu 1.5k 1.5× 105 0.2× 79 0.2× 130 0.5× 460 2.2× 31 2.3k
Terry E. Weymouth 1.2k 1.2× 55 0.1× 258 0.7× 84 0.3× 207 1.0× 59 2.6k
Wentao Zhu 1.0k 1.1× 60 0.1× 429 1.1× 365 1.5× 673 3.2× 106 2.6k
Hua Qu 129 0.1× 540 1.1× 261 0.7× 65 0.3× 423 2.0× 159 2.7k
Carlos Alberola‐López 1.2k 1.3× 157 0.3× 88 0.2× 82 0.3× 314 1.5× 173 2.6k

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-authorship network of co-authors of Anders Eriksson

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

All Works

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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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