Birgit Griesmayr
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
- Visual perception and processing mechanisms
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
Papers in
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- Neural dynamics and brain function 10
- EEG and Brain-Computer Interfaces 7
- Neural and Behavioral Psychology Studies 5
- Functional Brain Connectivity Studies 4
- Memory and Neural Mechanisms 3
- Motor Control and Adaptation 1
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- Mental Health Research Topics 1
- Co-authors
- Paul SausengWolfgang KlimeschRoman FreunbergerWalter GruberBarbara BergerMarkus Werkle‐BergnerUlman LindenbergerTamas Minarik
- Journals
- Neuroscience & Biobehavioral Reviews (1 paper)Nature Communications (1 paper)NeuroImage (1 paper)Brain Research (1 paper)Neurobiology of Learning and Memory (1 paper)
- Partner nations
- AustriaGermanyUnited Kingdom
In The Last Decade
Birgit Griesmayr
11 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 1.0k
- Neurology 76
- Experimental and Cognitive Psychology 110
- Cellular and Molecular Neuroscience 125
- Sensory Systems 17
Countries citing papers authored by Birgit Griesmayr
This map shows the geographic impact of Birgit Griesmayr'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 Birgit Griesmayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgit Griesmayr more than expected).
Fields of papers citing papers by Birgit Griesmayr
This network shows the impact of papers produced by Birgit Griesmayr. 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 Birgit Griesmayr. The network helps show where Birgit Griesmayr may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Birgit Griesmayr, 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 | 2019 | 65 | |
| 2 | 2016 | 23 | |
| 3 | 2014 | 50 | |
| 4 | 2011 | 9 | |
| 5 | 2010 | 92 | |
| 6 | 2010 | 3 | |
| 7 | Control mechanisms in working memory: A possible function of EEG theta oscillations Hit paper breakdown → | 2009 | 649 |
| 8 | 2009 | 63 | |
| 9 | 2008 | 76 | |
| 10 | 2008 | 53 | |
| 11 | 2006 | 16 |
About Birgit Griesmayr
Birgit Griesmayr is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Artificial Intelligence, Electrical and Electronic Engineering and Infectious Diseases, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), EEG and Brain-Computer Interfaces (7 papers), Neural and Behavioral Psychology Studies (5 papers), Functional Brain Connectivity Studies (4 papers), Memory and Neural Mechanisms (3 papers), Motor Control and Adaptation (1 paper), Neural Networks and Applications (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Neurology (76 citations), Experimental and Cognitive Psychology (110 citations), Cellular and Molecular Neuroscience (125 citations) and Sensory Systems (17 citations). Birgit Griesmayr has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Paul Sauseng, Wolfgang Klimesch, Roman Freunberger, Walter Gruber, Barbara Berger, Markus Werkle‐Bergner, Ulman Lindenberger, Tamas Minarik, Wolfgang Aichhorn and Yvonne Höller. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, Nature Communications, NeuroImage, Brain Research and Neurobiology of Learning and Memory.
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.