Peter Sykacek
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 3
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- Neural Networks and Applications 5
- Gaussian Processes and Bayesian Inference 3
- Co-authors
- Stephen Roberts (8 shared papers)María Stokes (3 shared papers)David P. Kreil (6 shared papers)Florian Wagner (1 shared paper)Dagmar Szakasits (1 shared paper)Holger Bohlmann (1 shared paper)Florian M. W. Grundler (1 shared paper)Krzysztof Wieczorek (1 shared paper)
- Journals
- Bioinformatics (3 papers)BMC Bioinformatics (2 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)The Plant Journal (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- AustriaUnited KingdomAustralia
In The Last Decade
Peter Sykacek
34 papers receiving 790 citations
Peers
Comparison fields: 5 of 109
- Cognitive Neuroscience 196
- Signal Processing 81
- Developmental Neuroscience 28
- Human-Computer Interaction 39
- Cellular and Molecular Neuroscience 105
Countries citing papers authored by Peter Sykacek
This map shows the geographic impact of Peter Sykacek'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 Peter Sykacek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sykacek more than expected).
Fields of papers citing papers by Peter Sykacek
This network shows the impact of papers produced by Peter Sykacek. 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 Peter Sykacek. The network helps show where Peter Sykacek may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Sykacek, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 183 | |
| 2 | 2014 | 119 | |
| 3 | 2004 | 95 | |
| 4 | 2004 | 63 | |
| 5 | 2007 | 49 | |
| 6 | 2021 | 44 | |
| 7 | 2003 | 26 | |
| 8 | 2011 | 25 | |
| 9 | 2008 | 21 | |
| 10 | Bayesian time series classification | 2001 | 20 |
| 11 | 2003 | 19 | |
| 12 | 2000 | 18 | |
| 13 | Adaptive Classification by Variational Kalman Filtering | 2002 | 17 |
| 14 | 2000 | 17 | |
| 15 | 2005 | 12 | |
| 16 | Equivalent error bars for neural network classifiers trained by Bayesian inference. | 1997 | 11 |
| 17 | On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling | 1999 | 10 |
| 18 | 2010 | 9 | |
| 19 | 2011 | 9 | |
| 20 | 2021 | 8 |
About Peter Sykacek
Peter Sykacek is a scholar working on Molecular Biology, Artificial Intelligence, Signal Processing, Cancer Research and Cognitive Neuroscience, having authored 36 papers that have together received 833 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Gene expression and cancer classification (5 papers), Blind Source Separation Techniques (3 papers), EEG and Brain-Computer Interfaces (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Bioinformatics and Genomic Networks (3 papers), Plant nutrient uptake and metabolism (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Cognitive Neuroscience (196 citations), Signal Processing (81 citations), Developmental Neuroscience (28 citations), Human-Computer Interaction (39 citations) and Cellular and Molecular Neuroscience (105 citations). Peter Sykacek has collaborated with scholars based in Austria, United Kingdom and Australia. Frequent co-authors include Stephen Roberts, María Stokes, David P. Kreil, Florian Wagner, Dagmar Szakasits, Holger Bohlmann, Florian M. W. Grundler, Krzysztof Wieczorek, Julia Hofmann and Eleanor Curran. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, IEEE Transactions on Neural Systems and Rehabilitation Engineering, The Plant Journal and Nucleic Acids Research.
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.