Toni Auranen
- Cognitive Neuroscience top 10%
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Experimental and Cognitive Psychology
- Computational Mechanics
- Co-authors
- Aapo NummenmaaAki VehtariIiro P. JääskeläinenMikko SamsJouko LampinenMatti HämäläinenSimo VanniArno Solin
- Topics
- Functional Brain Connectivity Studies (8 papers)Advanced MRI Techniques and Applications (6 papers)Neural dynamics and brain function (5 papers)
- Partner nations
- FinlandUnited StatesTaiwan
In The Last Decade
Toni Auranen
8 papers receiving 286 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 207
- Signal Processing 78
- Radiology, Nuclear Medicine and Imaging 77
- Experimental and Cognitive Psychology 41
- Computational Mechanics 34
Countries citing papers authored by Toni Auranen
This map shows the geographic impact of Toni Auranen'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 Auranen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toni Auranen more than expected).
Fields of papers citing papers by Toni Auranen
This network shows the impact of papers produced by Toni Auranen. 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 Auranen. The network helps show where Toni Auranen may publish in the future.
Co-authorship network of co-authors of Toni Auranen
This figure shows the co-authorship network connecting the top 25 collaborators of Toni Auranen. A scholar is included among the top collaborators of Toni Auranen 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 Auranen. Toni Auranen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | ISMRM 21st Annual Meeting & Exhibition, 20 - 26 April 2013, Salt Lake City, UT, USA | 1 |
| 2 | 105 | |
| 3 | 11 | |
| 4 | Identification of Spatio-Temporal Oscillatory Signal Structure in Cerebral Hemodynamics Using DRIFTER. | 0 |
| 5 | 15 | |
| 6 | 13 | |
| 7 | 23 | |
| 8 | 50 | |
| 9 | 48 | |
| 10 | A Hierarchical Bayesian Approach in distributed MEG source Modelling | 0 |
| 11 | Adaptation of neuromagnetic N1 responses to phonetic stimuli by visual speech in humans. | 34 |
About Toni Auranen
Toni Auranen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 11 papers that have together received 300 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (6 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (207 citations), Signal Processing (78 citations) and Computational Mathematics (2 citations). Toni Auranen has collaborated with scholars based in Finland, United States and Taiwan. Frequent co-authors include Aapo Nummenmaa, Aki Vehtari, Iiro P. Jääskeläinen, Mikko Sams, Jouko Lampinen, Matti Hämäläinen, Simo Vanni, Arno Solin, Simo Särkkä and Fa‐Hsuan Lin. Their work appears in journals such as PLoS ONE, NeuroImage and Human Brain Mapping.
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.