Marcus Grueschow

1.9k total citations
32 papers, 1.2k citations indexed

About

Marcus Grueschow is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Behavioral Neuroscience. According to data from OpenAlex, Marcus Grueschow has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 4 papers in Behavioral Neuroscience. Recurrent topics in Marcus Grueschow's work include Neural dynamics and brain function (15 papers), Neural and Behavioral Psychology Studies (12 papers) and Functional Brain Connectivity Studies (10 papers). Marcus Grueschow is often cited by papers focused on Neural dynamics and brain function (15 papers), Neural and Behavioral Psychology Studies (12 papers) and Functional Brain Connectivity Studies (10 papers). Marcus Grueschow collaborates with scholars based in Switzerland, Germany and United States. Marcus Grueschow's co-authors include Christian C. Ruff, Rafael Polanía, John­–Dylan Haynes, Marius Moisa, Jane Plailly, James D. Howard, Jay A. Gottfried, Birgit Kleim, Ian Krajbich and Oliver Speck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Marcus Grueschow

31 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcus Grueschow Switzerland 16 732 207 161 155 134 32 1.2k
Junichi Chikazoe Japan 20 1.4k 1.9× 97 0.5× 311 1.9× 140 0.9× 152 1.1× 40 1.8k
W. Ross Fulham Australia 17 958 1.3× 51 0.2× 158 1.0× 95 0.6× 92 0.7× 39 1.1k
Eve De Rosa United States 18 1.0k 1.4× 147 0.7× 274 1.7× 326 2.1× 54 0.4× 41 1.5k
Sébastien Hétu Canada 14 786 1.1× 78 0.4× 102 0.6× 85 0.5× 162 1.2× 38 1.3k
Martin D. Vestergaard United Kingdom 19 810 1.1× 94 0.5× 253 1.6× 60 0.4× 38 0.3× 35 1.1k
Evan J. Livesey Australia 18 860 1.2× 44 0.2× 192 1.2× 47 0.3× 148 1.1× 96 1.2k
Merideth A. Addicott United States 20 429 0.6× 43 0.2× 211 1.3× 152 1.0× 59 0.4× 43 1.1k
Elsa Fouragnan United Kingdom 16 677 0.9× 24 0.1× 111 0.7× 125 0.8× 173 1.3× 27 1.4k
James K. Kroger United States 11 1.3k 1.8× 97 0.5× 457 2.8× 101 0.7× 72 0.5× 17 1.7k
María Antonia Parcet Spain 24 857 1.2× 77 0.4× 399 2.5× 256 1.7× 110 0.8× 41 1.6k

Countries citing papers authored by Marcus Grueschow

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Grueschow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Grueschow

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Grueschow. A scholar is included among the top collaborators of Marcus Grueschow 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 Marcus Grueschow. Marcus Grueschow 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.
Hellrung, Lydia, et al.. (2024). Neural Representation of Valenced and Generic Probability and Uncertainty. Journal of Neuroscience. 44(30). e0195242024–e0195242024. 2 indexed citations
2.
Heng, Joseph, Antonino M. Cassarà, Esra Neufeld, et al.. (2024). Causal phase-dependent control of non-spatial attention in human prefrontal cortex. Nature Human Behaviour. 8(4). 743–757.
3.
Eriksson, Å., Mary Kimmel, Tomas Furmark, et al.. (2024). Investigating heart rate variability measures during pregnancy as predictors of postpartum depression and anxiety: an exploratory study. Translational Psychiatry. 14(1). 203–203. 10 indexed citations
4.
Hollander, Gilles de, et al.. (2023). Individual risk attitudes arise from noise in neurocognitive magnitude representations. Nature Human Behaviour. 7(9). 1551–1567. 13 indexed citations
5.
Ugazio, Giuseppe, Marcus Grueschow, Rafael Polanía, et al.. (2021). Neuro-computational foundations of moral preferences. Social Cognitive and Affective Neuroscience. 17(3). 253–265. 5 indexed citations
6.
Grueschow, Marcus, Ulrike Ehlert, Jan Breckwoldt, et al.. (2021). Real-world stress resilience is associated with the responsivity of the locus coeruleus. Nature Communications. 12(1). 2275–2275. 63 indexed citations
7.
Grueschow, Marcus, et al.. (2021). Sources of confidence in value-based choice. Nature Communications. 12(1). 7337–7337. 17 indexed citations
8.
Kurniawan, Irma T., Marcus Grueschow, & Christian C. Ruff. (2021). Anticipatory Energization Revealed by Pupil and Brain Activity Guides Human Effort-Based Decision Making. Journal of Neuroscience. 41(29). 6328–6342. 20 indexed citations
9.
Grueschow, Marcus, Birgit Kleim, & Christian C. Ruff. (2020). Role of the locus coeruleus arousal system in cognitive control. Journal of Neuroendocrinology. 32(12). e12890–e12890. 41 indexed citations
10.
Moisa, Marius, et al.. (2020). Causal contributions of human frontal eye fields to distinct aspects of decision formation. Scientific Reports. 10(1). 7317–7317. 11 indexed citations
11.
Grueschow, Marcus, et al.. (2020). Emotional conflict adaptation predicts intrusive memories. PLoS ONE. 15(2). e0225573–e0225573. 5 indexed citations
12.
13.
Moisa, Marius, Rafael Polanía, Marcus Grueschow, & Christian C. Ruff. (2016). Brain Network Mechanisms Underlying Motor Enhancement by Transcranial Entrainment of Gamma Oscillations. Journal of Neuroscience. 36(47). 12053–12065. 88 indexed citations
14.
Grueschow, Marcus, et al.. (2016). Attentional Bias towards Positive Emotion Predicts Stress Resilience. PLoS ONE. 11(3). e0148368–e0148368. 43 indexed citations
15.
Polanía, Rafael, Marius Moisa, Alexander Opitz, Marcus Grueschow, & Christian C. Ruff. (2015). The precision of value-based choices depends causally on fronto-parietal phase coupling. Nature Communications. 6(1). 8090–8090. 97 indexed citations
16.
Grueschow, Marcus, Rafael Polanía, Todd A. Hare, & Christian C. Ruff. (2015). Automatic versus Choice-Dependent Value Representations in the Human Brain. Neuron. 85(4). 874–885. 78 indexed citations
17.
Polanía, Rafael, Ian Krajbich, Marcus Grueschow, & Christian C. Ruff. (2014). Neural Oscillations and Synchronization Differentially Support Evidence Accumulation in Perceptual and Value-Based Decision Making. Neuron. 82(3). 709–720. 160 indexed citations
18.
Fischbach, Katharina, Jens Ricke, Marcus Grueschow, et al.. (2014). Sensory perceptions of individuals exposed to the static field of a 7T MRI: A controlled blinded study. Journal of Magnetic Resonance Imaging. 41(6). 1675–1681. 19 indexed citations
19.
Rieger, Jochem W., et al.. (2013). BOLD responses in human V1 to local structure in natural scenes: Implications for theories of visual coding. Journal of Vision. 13(2). 19–19. 14 indexed citations
20.
Grueschow, Marcus, et al.. (2011). Perceptual learning and decision making in human medial frontal cortex. Journal of Vision. 11(11). 1005–1005. 5 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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