Pasi Jylänki
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Control and Systems Engineering top 10%
- Co-authors
- Aki VehtariJarno VanhataloLaura KauhanenJaakko RiihimäkiJouni HartikainenJanne LehtonenMikko SamsMarcel van Gerven
- Topics
- Gaussian Processes and Bayesian Inference (7 papers)EEG and Brain-Computer Interfaces (6 papers)Gaze Tracking and Assistive Technology (5 papers)
- Partner nations
- FinlandNetherlandsUnited States
In The Last Decade
Pasi Jylänki
21 papers receiving 792 citations
Peers
Comparison fields: 5 of 124
- Cognitive Neuroscience 370
- Artificial Intelligence 196
- Cellular and Molecular Neuroscience 164
- Molecular Biology 86
- Control and Systems Engineering 76
Countries citing papers authored by Pasi Jylänki
This map shows the geographic impact of Pasi Jylänki'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 Pasi Jylänki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasi Jylänki more than expected).
Fields of papers citing papers by Pasi Jylänki
This network shows the impact of papers produced by Pasi Jylänki. 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 Pasi Jylänki. The network helps show where Pasi Jylänki may publish in the future.
Co-authorship network of co-authors of Pasi Jylänki
This figure shows the co-authorship network connecting the top 25 collaborators of Pasi Jylänki. A scholar is included among the top collaborators of Pasi Jylänki 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 Pasi Jylänki. Pasi Jylänki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 55 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 44 | |
| 6 | Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables | 1 |
| 7 | GPstuff: Bayesian modeling with Gaussian processes | 158 |
| 8 | Nested expectation propagation for Gaussian process classification | 9 |
| 9 | Bayesian Modeling with Gaussian Processes using the MATLAB Toolbox GPstuff (v3.3) | 8 |
| 10 | Robust Gaussian Process Regression with a Student- t Likelihood | 87 |
| 11 | 13 | |
| 12 | Gaussian process regression with Student-t likelihood | 57 |
| 13 | 36 | |
| 14 | 92 | |
| 15 | 6 | |
| 16 | 106 | |
| 17 | 48 | |
| 18 | 68 | |
| 19 | Haptic Feedback Compared with Visual Feedback for BCI | 17 |
| 20 | Online classification of finger movements | 1 |
About Pasi Jylänki
Pasi Jylänki is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Statistics and Probability, having authored 21 papers that have together received 828 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Gaze Tracking and Assistive Technology (5 papers). The work is most often cited by research in Cognitive Neuroscience (370 citations), Human-Computer Interaction (56 citations) and Cellular and Molecular Neuroscience (164 citations). Pasi Jylänki has collaborated with scholars based in Finland, Netherlands and United States. Frequent co-authors include Aki Vehtari, Jarno Vanhatalo, Laura Kauhanen, Jaakko Riihimäki, Jouni Hartikainen, Janne Lehtonen, Mikko Sams, Marcel van Gerven, Hannu Alaranta and Pekka Rantanen. Their work appears in journals such as PLoS ONE, NeuroImage and Biochemical and Biophysical Research Communications.
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.