Toni Auranen

449 total citations
11 papers, 300 citations indexed

About

Toni Auranen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Toni Auranen has authored 11 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Signal Processing. Recurrent topics in Toni Auranen's work include Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (6 papers) and Neural dynamics and brain function (5 papers). Toni Auranen is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (6 papers) and Neural dynamics and brain function (5 papers). Toni Auranen collaborates with scholars based in Finland, United States and Taiwan. Toni Auranen's co-authors include Aapo Nummenmaa, Aki Vehtari, Iiro P. Jääskeläinen, Mikko Sams, Jouko Lampinen, Matti Hämäläinen, Simo Vanni, Arno Solin, Fa‐Hsuan Lin and Simo Särkkä and has published in prestigious journals such as PLoS ONE, NeuroImage and Human Brain Mapping.

In The Last Decade

Toni Auranen

8 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toni Auranen Finland 8 207 78 77 41 34 11 300
Eduardo Aubert-Vázquez Cuba 8 407 2.0× 103 1.3× 82 1.1× 40 1.0× 31 0.9× 10 527
Chang Cai China 14 308 1.5× 82 1.1× 100 1.3× 24 0.6× 21 0.6× 37 455
Evangelos Roussos United Kingdom 4 365 1.8× 97 1.2× 142 1.8× 76 1.9× 19 0.6× 5 430
Taku Yoshioka Japan 7 472 2.3× 77 1.0× 113 1.5× 18 0.4× 37 1.1× 16 604
Mayrim Vega‐Hernández Cuba 7 284 1.4× 72 0.9× 125 1.6× 27 0.7× 36 1.1× 8 380
Daniel G. Wakeman United States 7 417 2.0× 62 0.8× 142 1.8× 39 1.0× 11 0.3× 10 495
R. Drenckhahn Germany 6 399 1.9× 77 1.0× 159 2.1× 21 0.5× 38 1.1× 8 526
Guillem Cucurull Spain 5 150 0.7× 26 0.3× 92 1.2× 130 3.2× 25 0.7× 7 461
Doug Ranken United States 9 210 1.0× 62 0.8× 41 0.5× 28 0.7× 18 0.5× 12 274
Yuhu Shi China 12 234 1.1× 43 0.6× 88 1.1× 25 0.6× 6 0.2× 51 399

Countries citing papers authored by Toni Auranen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
1.
Auranen, Toni, et al.. (2013). ISMRM 21st Annual Meeting & Exhibition, 20 - 26 April 2013, Salt Lake City, UT, USA. 1 indexed citations
2.
Särkkä, Simo, Arno Solin, Aapo Nummenmaa, et al.. (2012). Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER. NeuroImage. 60(2). 1517–1527. 105 indexed citations
3.
Kauramäki, Jaakko, Iiro P. Jääskeläinen, Toni Auranen, et al.. (2012). Two-Stage Processing of Sounds Explains Behavioral Performance Variations due to Changes in Stimulus Contrast and Selective Attention: An MEG Study. PLoS ONE. 7(10). e46872–e46872. 11 indexed citations
4.
Särkkä, Simo, Arno Solin, Aapo Nummenmaa, et al.. (2012). Identification of Spatio-Temporal Oscillatory Signal Structure in Cerebral Hemodynamics Using DRIFTER..
5.
Auranen, Toni, Aapo Nummenmaa, Simo Vanni, et al.. (2008). Automatic fMRI‐guided MEG multidipole localization for visual responses. Human Brain Mapping. 30(4). 1087–1099. 15 indexed citations
6.
Auranen, Toni, Aapo Nummenmaa, Matti Hämäläinen, et al.. (2007). Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles. Human Brain Mapping. 28(10). 979–994. 13 indexed citations
7.
Nummenmaa, Aapo, Toni Auranen, Matti Hämäläinen, et al.. (2007). Automatic relevance determination based hierarchical Bayesian MEG inversion in practice. NeuroImage. 37(3). 876–889. 23 indexed citations
8.
Nummenmaa, Aapo, Toni Auranen, Matti Hämäläinen, et al.. (2007). Hierarchical Bayesian estimates of distributed MEG sources: Theoretical aspects and comparison of variational and MCMC methods. NeuroImage. 35(2). 669–685. 50 indexed citations
9.
Auranen, Toni, Aapo Nummenmaa, Matti Hämäläinen, et al.. (2005). Bayesian analysis of the neuromagnetic inverse problem with ℓ-norm priors. NeuroImage. 26(3). 870–884. 48 indexed citations
10.
Nummenmaa, Aapo, Toni Auranen, Matti Hämäläinen, et al.. (2004). A Hierarchical Bayesian Approach in distributed MEG source Modelling.
11.
Jääskeläinen, Iiro P., Ville Ojanen, Jyrki Ahveninen, et al.. (2004). Adaptation of neuromagnetic N1 responses to phonetic stimuli by visual speech in humans.. PubMed. 15(18). 2741–4. 34 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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