Michael Gaebler

3.0k total citations
54 papers, 1.4k citations indexed

About

Michael Gaebler is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Social Psychology. According to data from OpenAlex, Michael Gaebler has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 14 papers in Cardiology and Cardiovascular Medicine and 11 papers in Social Psychology. Recurrent topics in Michael Gaebler's work include Functional Brain Connectivity Studies (13 papers), Heart Rate Variability and Autonomic Control (12 papers) and Neural and Behavioral Psychology Studies (12 papers). Michael Gaebler is often cited by papers focused on Functional Brain Connectivity Studies (13 papers), Heart Rate Variability and Autonomic Control (12 papers) and Neural and Behavioral Psychology Studies (12 papers). Michael Gaebler collaborates with scholars based in Germany, United Kingdom and France. Michael Gaebler's co-authors include Arno Villringer, Henrik Walter, Judith K. Daniels, Vadim V. Nikulin, Michael Scheel, Paweł Motyka, Esra Al, Norman Forschack, Martin Grund and Thomas Fydrich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michael Gaebler

50 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Gaebler Germany 21 742 314 273 224 172 54 1.4k
Federica Scarpina Italy 17 568 0.8× 288 0.9× 402 1.5× 144 0.6× 182 1.1× 64 1.6k
Kirsten Hötting Germany 16 790 1.1× 405 1.3× 263 1.0× 109 0.5× 122 0.7× 24 1.7k
Naho Ichikawa Japan 19 833 1.1× 419 1.3× 197 0.7× 97 0.4× 167 1.0× 37 1.3k
Markus Nowak Germany 19 1.1k 1.4× 294 0.9× 230 0.8× 196 0.9× 339 2.0× 38 1.9k
Tomas Ros Switzerland 25 2.2k 3.0× 379 1.2× 507 1.9× 357 1.6× 123 0.7× 50 2.9k
Savio W.H. Wong Hong Kong 19 664 0.9× 155 0.5× 148 0.5× 350 1.6× 152 0.9× 38 1.2k
Liana Machado New Zealand 25 1.1k 1.5× 313 1.0× 312 1.1× 190 0.8× 117 0.7× 78 1.9k
Maurício Cagy Brazil 24 1.2k 1.7× 266 0.8× 288 1.1× 184 0.8× 162 0.9× 145 1.9k
Chris Dodds United Kingdom 24 1.4k 1.9× 317 1.0× 291 1.1× 84 0.4× 233 1.4× 53 2.2k
Ulf Baumgärtner Germany 28 1.1k 1.4× 248 0.8× 653 2.4× 199 0.9× 150 0.9× 67 2.8k

Countries citing papers authored by Michael Gaebler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gaebler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gaebler

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gaebler. A scholar is included among the top collaborators of Michael Gaebler 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 Michael Gaebler. Michael Gaebler 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.
Hofmann, S., Nico Scherf, Klaus-Robert Müller, et al.. (2025). The utility of explainable AI for MRI analysis: Relating model predictions to neuroimaging features of the aging brain. Imaging Neuroscience. 3.
2.
Malandrone, Francesca, et al.. (2025). AffectTracker: real-time continuous rating of affective experience in immersive virtual reality. Frontiers in Virtual Reality. 6.
3.
Hofmann, S., et al.. (2024). Linking brain–heart interactions to emotional arousal in immersive virtual reality. Psychophysiology. 61(12). e14696–e14696. 3 indexed citations
4.
Hilsmann, Anna, Peter Eisert, Arno Villringer, et al.. (2024). Realness of face images can be decoded from non-linear modulation of EEG responses. Scientific Reports. 14(1). 5683–5683. 2 indexed citations
5.
Gaebler, Michael, et al.. (2023). Visual short‐term memory‐related EEG components in a virtual reality setup. Psychophysiology. 60(11). e14378–e14378. 5 indexed citations
6.
Blöchl, Maria, H. Lina Schaare, Deniz Kumral, et al.. (2023). Vascular risk factors, white matter microstructure, and depressive symptoms: a longitudinal analysis in the UK Biobank. Psychological Medicine. 54(1). 125–135. 4 indexed citations
7.
Uhlig, Marie, Janis Reinelt, Mark E. Lauckner, et al.. (2022). Rapid volumetric brain changes after acute psychosocial stress. NeuroImage. 265. 119760–119760. 6 indexed citations
8.
Hofmann, S., et al.. (2021). Decoding subjective emotional arousal from EEG during an immersive virtual reality experience. eLife. 10. 55 indexed citations
9.
Röbbig, Josefin, Miray Erbey, Anahit Babayan, et al.. (2021). Anger regulation choice—The role of age and habitual reappraisal.. Emotion. 22(7). 1639–1652. 2 indexed citations
10.
Al, Esra, Fivos Iliopoulos, Norman Forschack, et al.. (2020). Heart–brain interactions shape somatosensory perception and evoked potentials. Proceedings of the National Academy of Sciences. 117(19). 10575–10584. 166 indexed citations
11.
Krohn, Stephan, Cade McCall, Arno Villringer, et al.. (2020). Multidimensional Evaluation of Virtual Reality Paradigms in Clinical Neuropsychology: Application of the VR-Check Framework. Journal of Medical Internet Research. 22(4). e16724–e16724. 50 indexed citations
12.
Gaebler, Michael, et al.. (2020). Controller-Free Hand Tracking for Grab-and-Place Tasks in Immersive Virtual Reality: Design Elements and Their Empirical Study. Multimodal Technologies and Interaction. 4(4). 91–91. 49 indexed citations
13.
Villringer, Arno, et al.. (2019). Active information sampling varies across the cardiac cycle. Psychophysiology. 56(5). e13322–e13322. 44 indexed citations
14.
Motyka, Paweł, Martin Grund, Norman Forschack, et al.. (2019). Interactions between cardiac activity and conscious somatosensory perception. Psychophysiology. 56(10). 46 indexed citations
15.
Morys, Filip, Lieneke Janssen, Elena Čėsnaitė, et al.. (2019). Hemispheric asymmetries in resting‐state EEG and fMRI are related to approach and avoidance behaviour, but not to eating behaviour or BMI. Human Brain Mapping. 41(5). 1136–1152. 11 indexed citations
16.
Reinelt, Janis, Marie Uhlig, Karsten Müller, et al.. (2019). Acute psychosocial stress alters thalamic network centrality. NeuroImage. 199. 680–690. 23 indexed citations
17.
Hofmann, S., et al.. (2018). Decoding Subjective Emotional Arousal during a Naturalistic VR Experience from EEG Using LSTMs. 128–131. 22 indexed citations
18.
Gaebler, Michael, et al.. (2018). Authors’ Response: On the Components and Future Experimental Setups of Bodily Illusions/Aliefs. Constructivist Foundations. 14(1). 111–113. 1 indexed citations
19.
Bae, Yoon Ju, Janis Reinelt, Jeffrey Netto, et al.. (2018). Salivary cortisone, as a biomarker for psychosocial stress, is associated with state anxiety and heart rate. Psychoneuroendocrinology. 101. 35–41. 52 indexed citations
20.
Gaebler, Michael, et al.. (2013). Phenomenal depth: A common phenomenological dimension in depression and depersonalization. Journal of Consciousness Studies. 20. 269–291. 4 indexed citations

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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