Toni Virtanen

577 total citations
25 papers, 433 citations indexed

About

Toni Virtanen is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Toni Virtanen has authored 25 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 8 papers in Cognitive Neuroscience and 4 papers in Social Psychology. Recurrent topics in Toni Virtanen's work include Image and Video Quality Assessment (16 papers), Visual perception and processing mechanisms (7 papers) and Image Enhancement Techniques (7 papers). Toni Virtanen is often cited by papers focused on Image and Video Quality Assessment (16 papers), Visual perception and processing mechanisms (7 papers) and Image Enhancement Techniques (7 papers). Toni Virtanen collaborates with scholars based in Finland and Estonia. Toni Virtanen's co-authors include Jukka Häkkinen, Mikko Nuutinen, Pirkko Oittinen, Tero Vuori, Jenni Radun, Göte Nyman, Ville Pulkki, Taina Kuusi, Kai Pihlainen and Tommi Vasankari and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Frontiers in Psychology.

In The Last Decade

Toni Virtanen

24 papers receiving 413 citations

Peers

Toni Virtanen

CVPR

AMPO

Chu Zhou China

Fabio Bettio Italy

Romuald Pépion France

Xiaobo An United States

Pieter Seuntiëns Netherlands

Peter G. Engeldrum United States

Seyed Ali Amirshahi Norway

Julian Stöttinger Austria

Wilfried M. Osberger Australia

Bernard Mendiburu

Chu Zhou China

Toni Virtanen

146 ×0.4

CVPR

49 ×0.4

67 ×1.3

7 ×0.3

AMPO

26 ×1.2

Citations per year, relative to Toni Virtanen Toni Virtanen (= 1×) peers Chu Zhou

Countries citing papers authored by Toni Virtanen

Since Specialization

Citations

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

Fields of papers citing papers by Toni Virtanen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toni Virtanen

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

All Works

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20 of 20 papers shown

Virtanen, Toni, et al.. (2024). Reintegration of cyber veterans: challenges and strategies for post-war transition. Frontiers in Psychology. 15. 1373245–1373245. 1 indexed citations

Appelqvist‐Schmidlechner, Kaija, Risto Heikkinen, Tommi Vasankari, et al.. (2024). Moderating effect of leisure-time physical activity on the relationship between bullying victimisation and self-esteem in young Finnish men. Mental health and physical activity. 26. 100595–100595. 1 indexed citations

Appelqvist‐Schmidlechner, Kaija, Risto Heikkinen, Tommi Vasankari, et al.. (2023). Relationships between psychosocial well-being and leisure time physical activity among 160.000 young Finnish men: a cross-sectional study during 2015–2021. Archives of Public Health. 81(1). 26–26. 9 indexed citations

Virtanen, Toni, Mikko Nuutinen, & Jukka Häkkinen. (2020). Underlying elements of image quality assessment: Preference and terminology for communicating image quality characteristics.. Psychology of Aesthetics Creativity and the Arts. 16(1). 135–147. 3 indexed citations

Virtanen, Toni & Mikko Nuutinen. (2019). Image quality wheel. Journal of Electronic Imaging. 28(1). 1–1. 3 indexed citations

Nuutinen, Mikko, Toni Virtanen, & Jukka Häkkinen. (2016). Performance measure of image and video quality assessment algorithms: subjective root-mean-square error. Journal of Electronic Imaging. 25(2). 23012–23012. 5 indexed citations

Nuutinen, Mikko, et al.. (2015). VQone MATLAB toolbox: A graphical experiment builder for image and video quality evaluations. Behavior Research Methods. 48(1). 138–150. 10 indexed citations

Radun, Jenni, et al.. (2014). Categorization of Natural Dynamic Audiovisual Scenes. PLoS ONE. 9(5). e95848–e95848. 11 indexed citations

Nuutinen, Mikko, et al.. (2014). A new method for evaluating the subjective image quality of photographs: dynamic reference. Multimedia Tools and Applications. 75(4). 2367–2391. 9 indexed citations

10.

Nuutinen, Mikko, Toni Virtanen, & Pirkko Oittinen. (2014). Image feature subsets for predicting the quality of consumer camera images and identifying quality dimensions. Journal of Electronic Imaging. 23(6). 61111–61111. 7 indexed citations

11.

Radun, Jenni, et al.. (2014). Why is quality estimation judgment fast? Comparison of gaze control strategies in quality and difference estimation tasks. Journal of Electronic Imaging. 23(6). 61103–61103. 2 indexed citations

12.

Virtanen, Toni, et al.. (2014). CID2013: A Database for Evaluating No-Reference Image Quality Assessment Algorithms. IEEE Transactions on Image Processing. 24(1). 390–402. 129 indexed citations

13.

Radun, Jenni, et al.. (2013). Concurrent explanations can enhance visual decision making. Acta Psychologica. 145. 65–74. 8 indexed citations

14.

Nuutinen, Mikko, et al.. (2013). Automatic exposure and white balance control in video cameras: Time course characterization and preference. 41. 25–29. 2 indexed citations

15.

Radun, Jenni, et al.. (2009). Subjective experience of image quality: attributes, definitions, and decision making of subjective image quality. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7242. 72420D–72420D. 16 indexed citations

16.

Radun, Jenni, et al.. (2008). Evaluating the multivariate visual quality performance of image-processing components. ACM Transactions on Applied Perception. 7(3). 1–16. 21 indexed citations

17.

Virtanen, Toni, et al.. (2007). Forming valid scales for subjective video quality measurement based on a hybrid qualitative/quantitative methodology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6808. 68080M–68080M. 7 indexed citations

18.

Nyman, Göte, et al.. (2007). Measuring multivariate subjective image quality for still and video cameras and image processing system components. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6808. 68080N–68080N. 3 indexed citations

19.

Radun, Jenni, et al.. (2007). Audiovisual quality estimation of mobile phone video cameras with interpretation-based quality approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6494. 649403–649403. 9 indexed citations

20.

Kuusi, Taina & Toni Virtanen. (1979). STUDIES ON THE INTRINSIC QUALITY OF CARROT, TOMATOES AND LETTUCE DURING MARKETING. Acta Horticulturae. 49–58. 4 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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