Janne Hellsten

2.2k total citations
2 papers, 59 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 59 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 Digital Media Forensic Detection (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 Digital Media Forensic Detection (1 paper). Janne Hellsten collaborates with scholars based in United Kingdom, Finland and United States. Janne Hellsten's co-authors include Tero Karras, Jaakko Lehtinen, Timo Aila, Miika Aittala and Samuli Laine and has published in prestigious journals such as Neural Information Processing Systems.

In The Last Decade

Janne Hellsten

2 papers receiving 56 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Janne Hellsten United Kingdom	2	42	18	7	5	4	2	59
C.G. Yang Hong Kong	4	50 1.2×	13 0.7×	5 0.7×	2 0.4×	2 0.5×	5	67
Emiel Hoogeboom Netherlands	4	18 0.4×	15 0.8×	3 0.4×	3 0.6×	2 0.5×	7	31
Y. G. Wu China	3	15 0.4×	10 0.6×	2 0.3×	8 1.6×	3 0.8×	4	31
Adam R. Kosiorek United Kingdom	6	72 1.7×	24 1.3×	15 2.1×	2 0.4×	2 0.5×	7	88
Matt Botvinick United States	2	28 0.7×	6 0.3×	3 0.4×	2 0.4×		4	31
Pengcheng He China	3	36 0.9×	8 0.4×		3 0.6×	4 1.0×	4	43
Ansheng You China	4	70 1.7×	8 0.4×	10 1.4×		1 0.3×	4	75
Didrik Nielsen Denmark	3	15 0.4×	14 0.8×	3 0.4×		1 0.3×	4	23
Chaoyu Feng China	5	67 1.6×	17 0.9×	2 0.3×			8	71
Nicolas Boutry France	4	27 0.6×	5 0.3×	3 0.4×		10 2.5×	14	43

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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2 of 2 papers shown

1.

Karras, Tero, Miika Aittala, Jaakko Lehtinen, et al.. (2024). Analyzing and Improving the Training Dynamics of Diffusion Models. 24174–24184. 19 indexed citations

2.

Karras, Tero, Miika Aittala, Janne Hellsten, et al.. (2020). Training Generative Adversarial Networks with Limited Data. Neural Information Processing Systems. 33. 12104–12114. 40 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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