Janne Hellsten

11 total papers · 2.2k total citations
2 papers, 55 citations indexed

About

Janne Hellsten is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Infectious Diseases. According to data from OpenAlex, Janne Hellsten has authored 2 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Statistical and Nonlinear Physics and 0 papers in Infectious Diseases. Recurrent topics in Janne Hellsten's work include Generative Adversarial Networks and Image Synthesis (2 papers), Image Processing and 3D Reconstruction (1 paper) and Human Pose and Action Recognition (1 paper). Janne Hellsten is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Image Processing and 3D Reconstruction (1 paper) and Human Pose and Action Recognition (1 paper). Janne Hellsten collaborates with scholars based in United States, Finland and United Kingdom. Janne Hellsten's co-authors include Miika Aittala, Samuli Laine, Tero Karras, Jaakko Lehtinen and Timo Aila and has published in prestigious journals such as Neural Information Processing Systems.

In The Last Decade

Janne Hellsten

2 papers receiving 52 citations

Author Peers

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

Author Last Decade Papers Cites
Janne Hellsten 40 17 7 5 4 2 55
C.G. Yang 50 1.3× 13 0.8× 5 0.7× 2 0.4× 2 0.5× 5 67
Lewei Lu 47 1.2× 41 2.4× 4 0.6× 8 2.0× 3 92
Gowthami Somepalli 36 0.9× 30 1.8× 4 0.6× 2 0.5× 2 69
Y. G. Wu 15 0.4× 8 0.5× 2 0.3× 7 1.4× 3 0.8× 4 30
Damian Mrowca 22 0.6× 15 0.9× 3 0.4× 7 1.4× 2 47
Vincent Nozick 53 1.3× 6 0.4× 8 1.1× 1 0.2× 2 0.5× 4 80
Matt Botvinick 28 0.7× 7 0.4× 3 0.4× 2 0.4× 2 31
Pengcheng He 36 0.9× 8 0.5× 3 0.6× 4 1.0× 3 43
Nathan Schucher 52 1.3× 32 1.9× 14 2.0× 1 0.2× 8 2.0× 2 79
Ajay Jain 24 0.6× 14 0.8× 12 1.7× 4 58

Countries citing papers authored by Janne Hellsten

Since Specialization
Citations

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

Fields of papers citing papers by Janne Hellsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janne Hellsten

This figure shows the co-authorship network connecting the top 25 collaborators of Janne Hellsten. A scholar is included among the top collaborators of Janne Hellsten 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 Janne Hellsten. Janne Hellsten 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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