Matti Stenroos

2.6k total citations
59 papers, 1.5k citations indexed

About

Matti Stenroos is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Matti Stenroos has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 21 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Neurology. Recurrent topics in Matti Stenroos's work include Functional Brain Connectivity Studies (21 papers), Neural dynamics and brain function (17 papers) and Advanced MRI Techniques and Applications (17 papers). Matti Stenroos is often cited by papers focused on Functional Brain Connectivity Studies (21 papers), Neural dynamics and brain function (17 papers) and Advanced MRI Techniques and Applications (17 papers). Matti Stenroos collaborates with scholars based in Finland, Germany and United Kingdom. Matti Stenroos's co-authors include Lauri Parkkonen, Risto J. Ilmoniemi, Joonas Iivanainen, Jukka Sarvas, Olaf Hauk, Jens Haueisen, Jaakko O. Nieminen, Jukka Nenonen, Alexander Hunold and Tuomas P. Mutanen and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and NeuroImage.

In The Last Decade

Matti Stenroos

56 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
Matti Stenroos Finland 25 958 476 445 329 184 59 1.5k
Jaakko O. Nieminen Finland 20 609 0.6× 612 1.3× 330 0.7× 219 0.7× 200 1.1× 74 1.2k
Stephen E. Robinson United States 26 2.2k 2.3× 265 0.6× 355 0.8× 270 0.8× 143 0.8× 64 2.9k
Nobukazu Nakasato Japan 31 1.8k 1.9× 277 0.6× 461 1.0× 227 0.7× 123 0.7× 216 3.3k
M. Fuchs Germany 22 2.1k 2.2× 155 0.3× 615 1.4× 132 0.4× 133 0.7× 38 2.7k
Thom F. Oostendorp Netherlands 22 1.2k 1.3× 508 1.1× 556 1.2× 103 0.3× 416 2.3× 91 2.5k
Ceon Ramon United States 19 799 0.8× 105 0.2× 501 1.1× 71 0.2× 220 1.2× 61 1.5k
Akitake Kanno Japan 18 737 0.8× 146 0.3× 171 0.4× 161 0.5× 78 0.4× 64 1.2k
H. Nowak Germany 18 527 0.6× 74 0.2× 269 0.6× 176 0.5× 122 0.7× 58 979
B. Neil Cuffin United States 28 1.8k 1.9× 210 0.4× 772 1.7× 265 0.8× 207 1.1× 40 2.6k
Patrick J. Ledden United States 16 3.2k 3.3× 126 0.3× 947 2.1× 248 0.8× 78 0.4× 26 3.9k

Countries citing papers authored by Matti Stenroos

Since Specialization
Citations

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

Fields of papers citing papers by Matti Stenroos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matti Stenroos

This figure shows the co-authorship network connecting the top 25 collaborators of Matti Stenroos. A scholar is included among the top collaborators of Matti Stenroos 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 Matti Stenroos. Matti Stenroos 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.
Nieminen, Jaakko O., Victor H. Souza, Tuomas P. Mutanen, et al.. (2025). Multi-locus transcranial magnetic stimulation with pulse-width modulation. Brain stimulation. 18(3). 948–956. 3 indexed citations
2.
Nieminen, Jaakko O., Matti Stenroos, Maria Nazarova, et al.. (2022). Accuracy and precision of navigated transcranial magnetic stimulation. Journal of Neural Engineering. 19(6). 66037–66037. 25 indexed citations
3.
Hauk, Olaf, Matti Stenroos, & Matthias S. Treder. (2022). Towards an objective evaluation of EEG/MEG source estimation methods – The linear approach. NeuroImage. 255. 119177–119177. 44 indexed citations
4.
Nieminen, Jaakko O., Pantelis Lioumis, Johanna Metsomaa, et al.. (2022). Closed-loop optimization of transcranial magnetic stimulation with electroencephalography feedback. Brain stimulation. 15(2). 523–531. 58 indexed citations
5.
Zrenner, Christoph, Paolo Belardinelli, Pedro Caldana Gordon, et al.. (2022). µ-rhythm phase from somatosensory but not motor cortex correlates with corticospinal excitability in EEG-triggered TMS. Journal of Neuroscience Methods. 379. 109662–109662. 19 indexed citations
6.
Gordon, Pedro Caldana, Paolo Belardinelli, Matti Stenroos, et al.. (2021). Prefrontal Theta-Phase Synchronized Brain Stimulation With Real-Time EEG-Triggered TMS. Frontiers in Human Neuroscience. 15. 691821–691821. 29 indexed citations
7.
Nenonen, Jukka, Matti Stenroos, Alexandre Gramfort, et al.. (2020). Comparison of beamformer implementations for MEG source localization. NeuroImage. 216. 116797–116797. 45 indexed citations
8.
Koponen, Lari M., Matti Stenroos, Jaakko O. Nieminen, et al.. (2020). Individual head models for estimating the TMS-induced electric field in rat brain. Scientific Reports. 10(1). 17397–17397. 14 indexed citations
10.
Zetter, Rasmus, Joonas Iivanainen, Matti Stenroos, & Lauri Parkkonen. (2018). Requirements for Coregistration Accuracy in On-Scalp MEG. Brain Topography. 31(6). 931–948. 40 indexed citations
11.
Hunold, Alexander, et al.. (2016). EEG and MEG: sensitivity to epileptic spike activity as function of source orientation and depth. Physiological Measurement. 37(7). 1146–1162. 37 indexed citations
12.
Stenroos, Matti. (2016). Integral equations and boundary-element solution for static potential in a general piece-wise homogeneous volume conductor. Physics in Medicine and Biology. 61(22). N606–N617. 9 indexed citations
13.
Mutanen, Tuomas P., et al.. (2016). Recovering TMS-evoked EEG responses masked by muscle artifacts. NeuroImage. 139. 157–166. 68 indexed citations
14.
Stenroos, Matti, et al.. (2014). Investigations of sensitivity and resolution of ECG and MCG in a realistically shaped thorax model. Physics in Medicine and Biology. 59(23). 7141–7158. 23 indexed citations
15.
Stenroos, Matti & Jukka Sarvas. (2012). Bioelectromagnetic forward problem: isolated source approach revis(it)ed. Physics in Medicine and Biology. 57(11). 3517–3535. 58 indexed citations
16.
Stenroos, Matti. (2009). The transfer matrix for epicardial potential in a piece-wise homogeneous thorax model: the boundary element formulation. Physics in Medicine and Biology. 54(18). 5443–5455. 21 indexed citations
17.
Väänänen, Heikki, Matti Stenroos, Helena Hänninen, et al.. (2007). Localization of prior myocardial infarction by repolarization variables. International Journal of Cardiology. 124(1). 100–106. 3 indexed citations
18.
Stenroos, Matti, et al.. (2007). A Matlab library for solving quasi-static volume conduction problems using the boundary element method. Computer Methods and Programs in Biomedicine. 88(3). 256–263. 87 indexed citations
19.
Stenroos, Matti, et al.. (2006). Electrocardiographic detection and quantification of acute myocardial ischemia with dipole modeling. Computing in Cardiology Conference. 29–32. 2 indexed citations
20.
Stenroos, Matti, et al.. (2005). Computers in Cardiology 2005, Lyon, 2005. Computing in Cardiology Conference. 1 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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