Markus Waser

531 total citations
21 papers, 374 citations indexed

About

Markus Waser is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Markus Waser has authored 21 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 9 papers in Psychiatry and Mental health and 4 papers in Physiology. Recurrent topics in Markus Waser's work include EEG and Brain-Computer Interfaces (13 papers), Functional Brain Connectivity Studies (12 papers) and Dementia and Cognitive Impairment Research (9 papers). Markus Waser is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Functional Brain Connectivity Studies (12 papers) and Dementia and Cognitive Impairment Research (9 papers). Markus Waser collaborates with scholars based in Austria, Denmark and United Kingdom. Markus Waser's co-authors include Heinrich Garn, Gerhard Ransmayr, Georg Caravias, Thomas Benke, Peter Dal‐Bianco, Reinhold Schmidt, Manfred Deistler, Stephan Seiler, Martin Litzenberger and Ádám Papp and has published in prestigious journals such as NeuroImage, SLEEP and Clinical Neurophysiology.

In The Last Decade

Markus Waser

20 papers receiving 366 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Waser Austria 11 238 92 51 36 34 21 374
Chunlan Yang China 12 181 0.8× 78 0.8× 36 0.7× 30 0.8× 29 0.9× 37 528
Rosaleena Mohanty Sweden 13 233 1.0× 129 1.4× 77 1.5× 36 1.0× 42 1.2× 36 542
Ke Peng Canada 12 197 0.8× 62 0.7× 69 1.4× 86 2.4× 19 0.6× 33 504
Peyvand Ghaderyan Iran 12 192 0.8× 42 0.5× 41 0.8× 50 1.4× 81 2.4× 21 375
Daniel Crepeau United States 7 183 0.8× 92 1.0× 34 0.7× 17 0.5× 75 2.2× 8 366
G.J. Carroll New Zealand 13 422 1.8× 61 0.7× 21 0.4× 77 2.1× 30 0.9× 27 607
Guanjie Hu China 18 399 1.7× 196 2.1× 64 1.3× 23 0.6× 31 0.9× 35 642
Sara Aurtenetxe Spain 15 495 2.1× 162 1.8× 87 1.7× 31 0.9× 19 0.6× 19 606
Weikai Li China 16 384 1.6× 130 1.4× 42 0.8× 15 0.4× 37 1.1× 45 627

Countries citing papers authored by Markus Waser

Since Specialization
Citations

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

Fields of papers citing papers by Markus Waser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Waser

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Waser. A scholar is included among the top collaborators of Markus Waser 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 Markus Waser. Markus Waser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hahn, Andreas, Heinrich Garn, Markus Waser, et al.. (2025). Standardized low-resolution brain electromagnetic tomography does not improve EEG Alzheimer's disease assessment. NeuroImage. 310. 121144–121144.
2.
Wiesmeyr, Christoph, et al.. (2020). Real-Time Train Tracking from Distributed Acoustic Sensing Data. Applied Sciences. 10(2). 448–448. 47 indexed citations
3.
Seidel, Stefan, Heinrich Garn, Bernhard Kohn, et al.. (2020). Contactless detection of periodic leg movements during sleep: A 3D video pilot study. Journal of Sleep Research. 29(5). e12986–e12986. 5 indexed citations
4.
Dorffner, Georg, Stephen Roberts, Reinhold Schmidt, et al.. (2018). Associations of event-related brain potentials and Alzheimer’s disease severity: A longitudinal study. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 92. 31–38. 28 indexed citations
5.
Waser, Markus, Martin Lauritzen, Birgitte Fagerlund, et al.. (2018). Sleep efficiency and neurophysiological patterns in middle‐aged men are associated with cognitive change over their adult life course. Journal of Sleep Research. 28(4). e12793–e12793. 8 indexed citations
6.
Waser, Markus, Thomas Benke, Peter Dal‐Bianco, et al.. (2018). Neuroimaging markers of global cognition in early Alzheimer's disease: A magnetic resonance imaging–electroencephalography study. Brain and Behavior. 9(1). e01197–e01197. 24 indexed citations
7.
Waser, Markus, Heinrich Garn, Poul Jennum, & Helge B. D. Sørensen. (2018). A Blind Source-Based Method for Automated Artifact-Correction in Standard Sleep EEG. PubMed. 2018. 6010–6013. 6 indexed citations
8.
9.
Garn, Heinrich, Markus Waser, Manfred Deistler, et al.. (2017). Quantitative EEG Markers of Entropy and Auto Mutual Information in Relation to MMSE Scores of Probable Alzheimer’s Disease Patients. Entropy. 19(3). 130–130. 31 indexed citations
10.
Waser, Markus, Heinrich Garn, Thomas Benke, et al.. (2017). A flexible method for the automated offline-detection of artifacts in multi-channel electroencephalogram recordings. PubMed. 2017. 3793–3796. 2 indexed citations
11.
Waser, Markus, Heinrich Garn, Manfred Deistler, et al.. (2016). Predicting rapid cognitive decline in Alzheimer's disease patients using quantitative EEG markers and neuropsychological test scores. PubMed. 2016. 6078–6081. 9 indexed citations
12.
Waser, Markus, Heinrich Garn, Reinhold Schmidt, et al.. (2015). Quantifying synchrony patterns in the EEG of Alzheimer’s patients with linear and non-linear connectivity markers. Journal of Neural Transmission. 123(3). 297–316. 20 indexed citations
13.
Garn, Heinrich, Markus Waser, Manfred Deistler, et al.. (2014). Quantitative EEG in Alzheimer's disease: Cognitive state, resting state and association with disease severity. International Journal of Psychophysiology. 93(3). 390–397. 33 indexed citations
14.
Garn, Heinrich, Markus Waser, Manfred Deistler, et al.. (2014). Quantitative EEG markers relate to Alzheimer’s disease severity in the Prospective Dementia Registry Austria (PRODEM). Clinical Neurophysiology. 126(3). 505–513. 41 indexed citations
15.
Waser, Markus, Heinrich Garn, Manfred Deistler, et al.. (2014). Using static and dynamic canonical correlation coefficients as quantitative EEG markers for Alzheimer's disease severity. PubMed. 28. 2801–2804. 3 indexed citations
16.
Garn, Heinrich, Markus Waser, Manfred Deistler, et al.. (2014). Electroencephalographic complexity markers explain neuropsychological test scores in Alzheimer's disease. 115. 496–499. 5 indexed citations
17.
Garn, Heinrich, Markus Waser, Thomas Benke, et al.. (2013). Using cognitive qEEG to characterize disease severity in the prospective dementia registry Austria (PRODEM). Journal of the Neurological Sciences. 333. e309–e309. 1 indexed citations
18.
Waser, Markus & Heinrich Garn. (2013). Removing cardiac interference from the electroencephalogram using a modified Pan-Tompkins algorithm and linear regression. PubMed. 2013. 2028–2031. 19 indexed citations
19.
Waser, Markus, Manfred Deistler, Heinrich Garn, et al.. (2013). EEG in the diagnostics of Alzheimer’s disease. Statistical Papers. 54(4). 1095–1107. 10 indexed citations
20.

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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