Maria Hakonen
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Motor Control and Adaptation
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
-
- Functional Brain Connectivity Studies 4
- EEG and Brain-Computer Interfaces 3
- Neural dynamics and brain function 3
- Motor Control and Adaptation 3
- Hearing Loss and Rehabilitation 2
- Neuroscience and Music Perception 2
- Co-authors
- Harri Piitulainen (4 shared papers)Arto Visala (1 shared paper)Ruth Feldman (1 shared paper)Jonathan Lévy (1 shared paper)Iiro P. Jääskeläinen (4 shared papers)Mikko Sams (2 shared papers)Patrick May (3 shared papers)Hannu Tiitinen (3 shared papers)
- Journals
- NeuroImage (2 papers)Social Cognitive and Affective Neuroscience (1 paper)Network Neuroscience (1 paper)Brain and Behavior (1 paper)European Journal of Neuroscience (1 paper)
- Partner nations
- FinlandUnited StatesGermany
In The Last Decade
Maria Hakonen
9 papers receiving 301 citations
Peers
Comparison fields: 5 of 55
- Cognitive Neuroscience 185
- Human-Computer Interaction 38
- Biomedical Engineering 214
- Cellular and Molecular Neuroscience 75
- Rehabilitation 24
Countries citing papers authored by Maria Hakonen
This map shows the geographic impact of Maria Hakonen'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 Maria Hakonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Hakonen more than expected).
Fields of papers citing papers by Maria Hakonen
This network shows the impact of papers produced by Maria Hakonen. 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 Maria Hakonen. The network helps show where Maria Hakonen may publish in the future.
Co-authors
The 18 scholars most cited alongside Maria Hakonen, 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 | 2015 | 231 | |
| 2 | 2020 | 32 | |
| 3 | 2017 | 12 | |
| 4 | 2021 | 9 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 4 | |
| 8 | 2015 | 4 | |
| 9 | 2017 | 3 | |
| 10 | 2025 | 0 |
About Maria Hakonen
Maria Hakonen is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Social Psychology, Signal Processing and Experimental and Cognitive Psychology, having authored 10 papers that have together received 309 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), EEG and Brain-Computer Interfaces (3 papers), Neural dynamics and brain function (3 papers), Motor Control and Adaptation (3 papers), Hearing Loss and Rehabilitation (2 papers), Neuroscience and Music Perception (2 papers), Blind Source Separation Techniques (1 paper) and Muscle activation and electromyography studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (185 citations), Human-Computer Interaction (38 citations), Biomedical Engineering (214 citations), Cellular and Molecular Neuroscience (75 citations) and Rehabilitation (24 citations). Maria Hakonen has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Harri Piitulainen, Arto Visala, Ruth Feldman, Jonathan Lévy, Iiro P. Jääskeläinen, Mikko Sams, Patrick May, Hannu Tiitinen, Mathieu Bourguignon and Fa‐Hsuan Lin. Their work appears in journals such as NeuroImage, Social Cognitive and Affective Neuroscience, Network Neuroscience, Brain and Behavior and European Journal of Neuroscience.
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.