Markus Varsta
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Signal Processing top 5%
- Blind Source Separation Techniques
- Time Series Analysis and Forecasting
Papers in
-
- EEG and Brain-Computer Interfaces 8
- Neural dynamics and brain function 5
-
- Neural Networks and Applications 6
- Co-authors
- Jukka Heikkonen (12 shared papers)José del R. Millán (8 shared papers)J. Mouriño (5 shared papers)Febo Cincotti (5 shared papers)Fabio Babiloni (5 shared papers)Kimmo Kaski (5 shared papers)Timo Koskela (3 shared papers)L. Lazzarini (1 shared paper)
In The Last Decade
Markus Varsta
16 papers receiving 434 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 328
- Signal Processing 133
- Human-Computer Interaction 53
- Cellular and Molecular Neuroscience 141
- Artificial Intelligence 157
Countries citing papers authored by Markus Varsta
This map shows the geographic impact of Markus Varsta'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 Markus Varsta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Varsta more than expected).
Fields of papers citing papers by Markus Varsta
This network shows the impact of papers produced by Markus Varsta. 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 Markus Varsta. The network helps show where Markus Varsta may publish in the future.
Co-authors
The 19 scholars most cited alongside Markus Varsta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 139 | |
| 2 | 2000 | 114 | |
| 3 | Time Series Predicition using Recurrent SOM with Local Linear Models | 1997 | 50 |
| 4 | 2001 | 37 | |
| 5 | 2000 | 36 | |
| 6 | 1998 | 35 | |
| 7 | 2002 | 27 | |
| 8 | 2002 | 23 | |
| 9 | 2002 | 6 | |
| 10 | 2022 | 5 | |
| 11 | Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map. | 2000 | 5 |
| 12 | Epileptic Activity Detection in EEG with Neural Networks | 1997 | 5 |
| 13 | 1996 | 4 | |
| 14 | 1999 | 2 | |
| 15 | 1996 | 2 | |
| 16 | Self-organizing maps in sequence processing | 2002 | 2 |
| 17 | 2000 | 1 |
About Markus Varsta
Markus Varsta is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 493 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Neural Networks and Applications (6 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neural Engineering (4 papers), Music and Audio Processing (2 papers), Blind Source Separation Techniques (2 papers), Time Series Analysis and Forecasting (2 papers) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (328 citations), Signal Processing (133 citations), Human-Computer Interaction (53 citations), Cellular and Molecular Neuroscience (141 citations) and Artificial Intelligence (157 citations). Markus Varsta has collaborated with scholars based in Italy, Finland and Germany. Frequent co-authors include Jukka Heikkonen, José del R. Millán, J. Mouriño, Febo Cincotti, Fabio Babiloni, Kimmo Kaski, Timo Koskela, L. Lazzarini, Maria Grazia Marciani and Luigi Bianchi. Their work appears in journals such as Medical Physics, American Journal of Industrial Medicine, Neural Processing Letters, NeuroImage and International Journal of Knowledge-based and Intelligent Engineering Systems.
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.