Janne Kauttonen

687 total citations
29 papers, 364 citations indexed

About

Janne Kauttonen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Janne Kauttonen has authored 29 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Janne Kauttonen's work include Emotion and Mood Recognition (6 papers), Neural dynamics and brain function (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Janne Kauttonen is often cited by papers focused on Emotion and Mood Recognition (6 papers), Neural dynamics and brain function (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Janne Kauttonen collaborates with scholars based in Finland, United States and China. Janne Kauttonen's co-authors include Pia Tikka, Yang Liu, Yevhen Hlushchuk, Guoying Zhao, Ari Alamäki, Iiro P. Jääskeläinen, Yante Li, Jyrki Suomala, Xingming Zhang and Umair Ali Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Janne Kauttonen

26 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janne Kauttonen Finland 12 133 102 61 54 52 29 364
Roberto Legaspi Japan 9 128 1.0× 66 0.6× 41 0.7× 51 0.9× 69 1.3× 46 292
Claire Naughtin Australia 11 205 1.5× 70 0.7× 12 0.2× 71 1.3× 31 0.6× 20 369
James W. A. Strachan United Kingdom 10 101 0.8× 70 0.7× 61 1.0× 67 1.2× 35 0.7× 15 321
Md. Iftekhar Tanveer United States 9 40 0.3× 60 0.6× 49 0.8× 101 1.9× 106 2.0× 11 329
Olivia Guest United Kingdom 9 169 1.3× 70 0.7× 19 0.3× 46 0.9× 104 2.0× 16 390
Christian Guckelsberger United Kingdom 10 40 0.3× 43 0.4× 55 0.9× 39 0.7× 137 2.6× 26 357
Sungwoo Lee South Korea 3 35 0.3× 33 0.3× 41 0.7× 61 1.1× 115 2.2× 4 296
Juan Miguel López Spain 9 51 0.4× 64 0.6× 31 0.5× 27 0.5× 55 1.1× 35 250
Florence Gabriel Australia 12 152 1.1× 113 1.1× 11 0.2× 29 0.5× 58 1.1× 31 959
Anton Kunnari Finland 9 92 0.7× 18 0.2× 23 0.4× 76 1.4× 98 1.9× 18 317

Countries citing papers authored by Janne Kauttonen

Since Specialization
Citations

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

Fields of papers citing papers by Janne Kauttonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janne Kauttonen

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

All Works

20 of 20 papers shown
1.
Khan, Umair Ali, et al.. (2025). AI Adoption in Finnish SMEs: Key Findings from AI Consultancy at a European Digital Innovation Hub. 465–470. 2 indexed citations
2.
Kauttonen, Janne, Rebekah Rousi, & Ari Alamäki. (2025). Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis. Journal of Medical Internet Research. 27. e65567–e65567. 12 indexed citations
3.
Alamäki, Ari, Umair Ali Khan, Janne Kauttonen, & Stephan Schlögl. (2024). An Experiment of AI-Based Assessment: Perspectives of Learning Preferences, Benefits, Intention, Technology Affinity, and Trust. Education Sciences. 14(12). 1386–1386. 3 indexed citations
4.
5.
Kauttonen, Janne, et al.. (2024). Combining data from a LMS and a student register for exploring factors affecting study duration. Journal of Computing in Higher Education. 37(3). 1032–1055. 1 indexed citations
6.
Khan, Umair Ali, Janne Kauttonen, Pentti Henttonen, & Ilmari Määttänen. (2024). Understanding the impact of sisu on workforce and well-being: A machine learning-based analysis. Heliyon. 10(2). e24148–e24148. 2 indexed citations
7.
8.
Khan, Umair Ali, et al.. (2024). A System to Ensure Information Trustworthiness in Artificial Intelligence Enhanced Higher Education. Journal of Information Technology Education Research. 23. 13–13. 1 indexed citations
9.
Liu, Yang, Xingming Zhang, Janne Kauttonen, & Guoying Zhao. (2023). Uncertain Facial Expression Recognition via Multi-Task Assisted Correction. IEEE Transactions on Multimedia. 26. 2531–2543. 19 indexed citations
10.
Suomala, Jyrki & Janne Kauttonen. (2023). Computational meaningfulness as the source of beneficial cognitive biases. Frontiers in Psychology. 14. 1189704–1189704.
11.
Alamäki, Ari, et al.. (2023). Forecasted Self: AI-Based Careerbot-Service Helping Students with Job Market Dynamics. SHILAP Revista de lepidopterología. 99–99. 2 indexed citations
12.
Alamäki, Ari, et al.. (2023). How Students’ Information Sensitivity, Privacy Trade-Offs, and Stages of Customer Journey Affect Consent to Utilize Personal Data. Interdisciplinary Journal of Information Knowledge and Management. 18. 127–147. 4 indexed citations
13.
Li, Yante, et al.. (2022). Deep Learning for Micro-Expression Recognition: A Survey. IEEE Transactions on Affective Computing. 13(4). 2028–2046. 66 indexed citations
14.
Suomala, Jyrki & Janne Kauttonen. (2022). Human’s Intuitive Mental Models as a Source of Realistic Artificial Intelligence and Engineering. Frontiers in Psychology. 13. 873289–873289. 13 indexed citations
15.
Kauttonen, Janne, et al.. (2020). Development of Natural Scene Representation in Primary Visual Cortex Requires Early Postnatal Experience. Current Biology. 31(2). 369–380.e5. 9 indexed citations
16.
Kauttonen, Janne, et al.. (2020). Predictive modeling for trustworthiness and other subjective text properties in online nutrition and health communication. PLoS ONE. 15(8). e0237144–e0237144. 2 indexed citations
17.
Kauttonen, Janne, Yevhen Hlushchuk, Iiro P. Jääskeläinen, & Pia Tikka. (2018). Brain mechanisms underlying cue-based memorizing during free viewing of movie Memento. NeuroImage. 172. 313–325. 35 indexed citations
18.
Tikka, Pia, Janne Kauttonen, & Yevhen Hlushchuk. (2018). Narrative comprehension beyond language: Common brain networks activated by a movie and its script. PLoS ONE. 13(7). e0200134–e0200134. 19 indexed citations
19.
Kauttonen, Janne, Yevhen Hlushchuk, & Pia Tikka. (2015). Optimizing methods for linking cinematic features to fMRI data. NeuroImage. 110. 136–148. 28 indexed citations
20.
Äyrämö, Sami, et al.. (2009). Mining road traffic accidents. Jyväskylä University Digital Archive (University of Jyväskylä). 5 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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