M. Pregenzer

2.1k citations

17 papers · 1.6k indexed · 1 hit paper · h-index 12

Cognitive Neuroscience top 1%
Cellular and Molecular Neuroscience top 2%
Signal Processing top 2%
Electrical and Electronic Engineering
Human-Computer Interaction top 1%

Co-authors: G. Pfurtscheller Doris Flotzinger Ch. Neuper Christa Neuper Alois Schlögl Herbert Ramoser C. Guger B. Obermaier
Topics: EEG and Brain-Computer Interfaces (14 papers)Neural Networks and Applications (9 papers)Neural dynamics and brain function (6 papers)
Cited by: Cognitive Neuroscience Human-Computer Interaction Cellular and Molecular Neuroscience
Journals: Electroencephalography and Clinical Neurophysiology Neurocomputing Neuroscience Letters
Partner nations: Austria Germany

In The Last Decade

M. Pregenzer

16 papers receiving 1.5k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EEG-based discrimination between imagination of right and left hand movement

1997 673 citations G. Pfurtscheller, Ch. Neuper et al. Electroencephalography and Clinical Neurophysiology profile →

Peers

Countries citing papers authored by M. Pregenzer

Since Specialization

Citations

This map shows the geographic impact of M. Pregenzer'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 M. Pregenzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Pregenzer more than expected).

Fields of papers citing papers by M. Pregenzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Pregenzer. 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 M. Pregenzer. The network helps show where M. Pregenzer may publish in the future.

Co-authorship network of co-authors of M. Pregenzer

This figure shows the co-authorship network connecting the top 25 collaborators of M. Pregenzer. A scholar is included among the top collaborators of M. Pregenzer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Pregenzer. M. Pregenzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Distinction Sensitive Learning Vector Quantisation-a new noise-insensitive classification method 2002 ·M. Pregenzer,Doris Flotzinger,G. Pfurtscheller	8
2	Current trends in Graz brain-computer interface (BCI) research 2000 ·IEEE Transactions on Rehabilitation Engineering ·G. Pfurtscheller,Christa Neuper,C. Guger,(unknown),Herbert Ramoser,Alois Schlögl,B. Obermaier,M. Pregenzer	367
3	Frequency component selection for an EEG-based brain to computer interface 1999 ·IEEE Transactions on Rehabilitation Engineering ·M. Pregenzer,G. Pfurtscheller	118
4	Artefact detection in sleep EEG by the use of Kalman filtering 1999 ·Alois Schlögl,P. Anderer,Stephen Roberts,M. Pregenzer,Gert Pfurtscheller	19
5	A non parametric method for calculating a posteriori probabilities of sleep spindles in EEG data 1999 ·(unknown),M. Pregenzer,Michael Woertz,Peter Rappelsberger,Gert Pfurtscheller	1
6	Feature extraction for on-line EEG classification using principal components and linear discriminants 1998 ·Medical & Biological Engineering & Computing ·(unknown),(unknown),Alois Schlögl,M. Pregenzer,G. Pfurtscheller	36
7	EEG-based discrimination between imagination of right and left hand movementbreakdown → 1997 ·Electroencephalography and Clinical Neurophysiology ·G. Pfurtscheller,Ch. Neuper,Doris Flotzinger,M. Pregenzer	673
8	Classification of single EEG trials using machine learning methods and neural networks 1997 ·Gert Pfurtscheller,M. Pregenzer,Doris Flotzinger	0
9	EEG-based brain computer interface (BCI). Search for optimal electrode positions and frequency components. 1996 ·PubMed ·G. Pfurtscheller,Doris Flotzinger,M. Pregenzer,Jonathan R. Wolpaw,Dennis J. McFarland	45
10	On-line EEG classification during externally-paced hand movements using a neural network-based classifier 1996 ·Electroencephalography and Clinical Neurophysiology ·G. Pfurtscheller,J. Kalcher,Ch. Neuper,(unknown),M. Pregenzer	86
11	Classification of Single trial EEG: A comparison of different parameters. 1996 ·Alois Schlögl,Bärbel Schack,(unknown),(unknown),M. Pregenzer,Gert Pfurtscheller	3
12	Automated feature selection with a distinction sensitive learning vector quantizer 1996 ·Neurocomputing ·M. Pregenzer,G. Pfurtscheller,(unknown)	64
13	Improvement of EEG classification with a subject-specific feature selection. 1995 ·The European Symposium on Artificial Neural Networks ·M. Pregenzer,Gert Pfurtscheller,Colin Andrew	2
14	Distinction Sensitive Learning Vector Quantization (DSLVQ) - application as a classifier based feature selection method for a brain computer interface 1995 ·M. Pregenzer	16
15	Visualization of sensorimotor areas involved in preparation for hand movement based on classification of μ and central β rhythms in single EEG trials in man 1994 ·Neuroscience Letters ·G. Pfurtscheller,M. Pregenzer,Christa Neuper	95
16	Selection of electrode positions for an EEG-based Brain Computer Interface (BCI). Auswahl von Elektrodenpositionen für ein auf EEG-Ableitungen basierendes Brain Computer Interface (BCI) 1994 ·Biomedizinische Technik/Biomedical Engineering ·M. Pregenzer,G. Pfurtscheller,Doris Flotzinger	15
17	Feature selection with distinction sensitive learning vector quantisation and genetic algorithms 1994 ·Doris Flotzinger,M. Pregenzer,G. Pfurtscheller	24

About M. Pregenzer

M. Pregenzer is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Neural Networks and Applications (9 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Human-Computer Interaction (251 citations) and Cellular and Molecular Neuroscience (752 citations). M. Pregenzer has collaborated with scholars based in Austria and Germany. Frequent co-authors include G. Pfurtscheller, Doris Flotzinger, Ch. Neuper, Christa Neuper, Alois Schlögl, Herbert Ramoser, C. Guger, B. Obermaier, G. Pfurtscheller and J. Kalcher. Their work appears in journals such as Electroencephalography and Clinical Neurophysiology, Neurocomputing and Neuroscience Letters.

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.

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