Tuukka Ruotsalo

2.6k total citations
115 papers, 1.6k citations indexed

About

Tuukka Ruotsalo is a scholar working on Information Systems, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Tuukka Ruotsalo has authored 115 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Information Systems, 43 papers in Artificial Intelligence and 27 papers in Cognitive Neuroscience. Recurrent topics in Tuukka Ruotsalo's work include Information Retrieval and Search Behavior (27 papers), Personal Information Management and User Behavior (21 papers) and EEG and Brain-Computer Interfaces (21 papers). Tuukka Ruotsalo is often cited by papers focused on Information Retrieval and Search Behavior (27 papers), Personal Information Management and User Behavior (21 papers) and EEG and Brain-Computer Interfaces (21 papers). Tuukka Ruotsalo collaborates with scholars based in Finland, Denmark and Italy. Tuukka Ruotsalo's co-authors include Giulio Jacucci, Samuel Kaski, Eero Hyvönen, Eetu Mäkelä, Michiel Spapé, Manuel J. A. Eugster, Petri Myllymäki, Tomi Kauppinen, Kumaripaba Athukorala and Dorota Głowacka and has published in prestigious journals such as Scientific Reports, Communications of the ACM and Psychophysiology.

In The Last Decade

Tuukka Ruotsalo

97 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tuukka Ruotsalo Finland 22 686 683 338 244 194 115 1.6k
Ioannis Arapakis Spain 17 719 1.0× 548 0.8× 259 0.8× 117 0.5× 125 0.6× 39 1.3k
Denis Parra Chile 22 760 1.1× 550 0.8× 429 1.3× 87 0.4× 70 0.4× 93 1.5k
Ka-Ping Yee United States 14 685 1.0× 568 0.8× 562 1.7× 158 0.6× 154 0.8× 23 1.6k
I. V. Ramakrishnan United States 25 753 1.1× 878 1.3× 272 0.8× 516 2.1× 74 0.4× 188 2.2k
Lynn Andrea Stein United States 18 862 1.3× 1.5k 2.2× 236 0.7× 129 0.5× 144 0.7× 59 2.3k
Louis M. Gomez United States 21 834 1.2× 937 1.4× 276 0.8× 130 0.5× 268 1.4× 36 2.2k
Tessa Lau United States 24 750 1.1× 543 0.8× 256 0.8× 57 0.2× 327 1.7× 56 1.7k
Brian Amento United States 15 541 0.8× 319 0.5× 202 0.6× 88 0.4× 118 0.6× 24 1.0k
Nava Tintarev United Kingdom 17 697 1.0× 688 1.0× 242 0.7× 53 0.2× 88 0.5× 49 1.3k
Anthony Jameson Germany 16 397 0.6× 466 0.7× 196 0.6× 56 0.2× 95 0.5× 57 1.0k

Countries citing papers authored by Tuukka Ruotsalo

Since Specialization
Citations

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

Fields of papers citing papers by Tuukka Ruotsalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuukka Ruotsalo

This figure shows the co-authorship network connecting the top 25 collaborators of Tuukka Ruotsalo. A scholar is included among the top collaborators of Tuukka Ruotsalo 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 Tuukka Ruotsalo. Tuukka Ruotsalo 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.
Ai, Qingyao, Yiqun Liu, Maarten de Rijke, et al.. (2025). Generative language reconstruction from brain recordings. Communications Biology. 8(1). 346–346. 3 indexed citations
2.
Siemon, Dominik, et al.. (2025). Persuasive explanations for recommender systems: how explanations can influence users’ choices?. International Journal of Human-Computer Studies. 208. 103720–103720.
3.
4.
Zhan, Jingtao, Qingyao Ai, Yiqun Liu, et al.. (2024). Query Augmentation with Brain Signals. Research at the University of Copenhagen (University of Copenhagen). 7561–7570. 1 indexed citations
5.
Ruotsalo, Tuukka, et al.. (2024). Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. arXiv (Cornell University). 271–281.
6.
Spapé, Michiel, et al.. (2024). Cross-Subject EEG Feedback for Implicit Image Generation. IEEE Transactions on Cybernetics. 54(10). 6105–6117. 2 indexed citations
7.
Maistro, Maria, et al.. (2024). An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records. Research at the University of Copenhagen (University of Copenhagen). 4869–4890. 1 indexed citations
8.
Jacucci, Giulio, et al.. (2024). Naturalistic Digital Behavior Predicts Cognitive Abilities. ACM Transactions on Computer-Human Interaction. 31(3). 1–32. 2 indexed citations
9.
Das, P., et al.. (2024). Associating cognitive abilities with naturalistic search behavior. Journal of the Association for Information Science and Technology. 76(4). 665–685. 2 indexed citations
10.
Tag, Benjamin, et al.. (2024). Advancing Physiological Methods for Human-Information Interaction. Monash University Research Portal (Monash University). 976–979. 1 indexed citations
11.
Junge, Alexander, Jakob D. Havtorn, Lasse Borgholt, et al.. (2023). Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. arXiv (Cornell University). 2572–2582. 15 indexed citations
12.
Jacucci, Giulio, et al.. (2019). Understanding user behavior in naturalistic information search tasks. Journal of the Association for Information Science and Technology. 70(11). 1248–1261. 22 indexed citations
13.
Koskela, Markus, et al.. (2018). Proactive Information Retrieval by Capturing Search Intent from Primary Task Context. ACM Transactions on Interactive Intelligent Systems. 8(3). 1–25. 16 indexed citations
14.
Jacucci, Giulio, Salvatore Andolina, Dieter Schmalstieg, et al.. (2017). Combining Intelligent Recommendation and Mixed Reality in Itineraries for Urban Exploration. Työväentutkimus Vuosikirja. 2017(2). 18–23. 2 indexed citations
15.
Hyvönen, Eero, Eetu Mäkelä, Tomi Kauppinen, et al.. (2009). CultureSampo - Finnish Cultural Heritage Collections on the Semantic Web 2.0. 6 indexed citations
16.
Ruotsalo, Tuukka, Eetu Mäkelä, Tomi Kauppinen, et al.. (2009). SmartMuseum : Personalized Context-aware Access to Digital Cultural Heritage. 20 indexed citations
17.
Hyvönen, Eero, Eetu Mäkelä, Tuukka Ruotsalo, et al.. (2008). CULTURESAMPO - Finnish culture on the Semantic Web. 10 indexed citations
18.
Hyvönen, Eero, Eetu Mäkelä, Tuukka Ruotsalo, et al.. (2008). CEUR Workshop Proceedings. 94 indexed citations
19.
Mäkelä, Eetu, Kim Viljanen, Olli Alm, et al.. (2007). Enabling the semantic web with ready-to-use web widgets. 11(Suppl 3). 56–69. 11 indexed citations
20.
Hyvönen, Eero, et al.. (2005). Finnish national ontologies for the semantic web: towards a content and service infrastructure. International Conference on Dublin Core and Metadata Applications. 219–222. 9 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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