G. Pfurtscheller
Impact in
- Cognitive Neuroscience top 0.01%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Human-Computer Interaction top 0.02%
- Gaze Tracking and Assistive Technology
Papers in
-
- EEG and Brain-Computer Interfaces 131
- Neural dynamics and brain function 62
- Functional Brain Connectivity Studies 19
-
- Neuroscience and Neural Engineering 46
- Co-authors
- Christa Neuper (25 shared papers)Herbert Ramoser (5 shared papers)Alois Schlögl (17 shared papers)A. Aranibar (5 shared papers)Ch. Neuper (8 shared papers)Johannes Müller-Gerking (1 shared paper)Andrej Stančák (2 shared papers)Clemens Brunner (6 shared papers)
- Journals
- Electroencephalography and Clinical Neurophysiology (29 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (11 papers)IEEE Transactions on Biomedical Engineering (9 papers)Clinical Neurophysiology (6 papers)International Journal of Psychophysiology (5 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
G. Pfurtscheller
146 papers receiving 27.6k citations
G. Pfurtscheller's Hit Papers
Peers
Comparison fields: 5 of 163
- Cognitive Neuroscience 25.2k
- Human-Computer Interaction 3.1k
- Cellular and Molecular Neuroscience 9.2k
- Signal Processing 3.9k
- Neurology 842
Countries citing papers authored by G. Pfurtscheller
This map shows the geographic impact of G. Pfurtscheller'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 G. Pfurtscheller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Pfurtscheller more than expected).
Fields of papers citing papers by G. Pfurtscheller
This network shows the impact of papers produced by G. Pfurtscheller. 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 G. Pfurtscheller. The network helps show where G. Pfurtscheller may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Pfurtscheller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Event-related EEG/MEG synchronization and desynchronization: basic principles Hit paper breakdown → | 1999 | 5257 |
| 2 | Optimal spatial filtering of single trial EEG during imagined hand movement Hit paper breakdown → | 2000 | 1848 |
| 3 | Motor imagery and direct brain-computer communication Hit paper breakdown → | 2001 | 1380 |
| 4 | Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks Hit paper breakdown → | 2006 | 1207 |
| 5 | Event-related synchronization (ERS) in the alpha band — an electrophysiological correlate of cortical idling: A review Hit paper breakdown → | 1996 | 929 |
| 6 | Event-related cortical desynchronization detected by power measurements of scalp EEG Hit paper breakdown → | 1977 | 902 |
| 7 | Event-related synchronization (ERS): an electrophysiological correlate of cortical areas at rest Hit paper breakdown → | 1992 | 802 |
| 8 | The BCI competition III: validating alternative approaches to actual BCI problems Hit paper breakdown → | 2006 | 702 |
| 9 | EEG-based discrimination between imagination of right and left hand movement Hit paper breakdown → | 1997 | 681 |
| 10 | Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement Hit paper breakdown → | 1979 | 607 |
| 11 | Handbook of electroencephalography and clinical neurophysiology Hit paper breakdown → | 1978 | 569 |
| 12 | Post-movement beta synchronization. A correlate of an idling motor area? Hit paper breakdown → | 1996 | 536 |
| 13 | The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials Hit paper breakdown → | 2004 | 501 |
| 14 | 2006 | 455 | |
| 15 | 1989 | 442 | |
| 16 | 2001 | 426 | |
| 17 | 1998 | 421 | |
| 18 | 1993 | 398 | |
| 19 | 1981 | 382 | |
| 20 | 2003 | 377 |
About G. Pfurtscheller
G. Pfurtscheller is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 154 papers that have together received 28.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (131 papers), Neural dynamics and brain function (62 papers), Neuroscience and Neural Engineering (46 papers), Functional Brain Connectivity Studies (19 papers), Neural Networks and Applications (16 papers), Advanced Memory and Neural Computing (15 papers), Blind Source Separation Techniques (14 papers) and Muscle activation and electromyography studies (11 papers). The work is most often cited by research in Cognitive Neuroscience (25.2k citations), Human-Computer Interaction (3.1k citations), Cellular and Molecular Neuroscience (9.2k citations), Signal Processing (3.9k citations) and Neurology (842 citations). G. Pfurtscheller has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christa Neuper, Herbert Ramoser, Alois Schlögl, A. Aranibar, Ch. Neuper, Johannes Müller-Gerking, Andrej Stančák, Clemens Brunner, M. Pregenzer and Reinhold Scherer. Their work appears in journals such as Electroencephalography and Clinical Neurophysiology, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology and International Journal of Psychophysiology.
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.