Martin Seeber

1.4k total citations
26 papers, 922 citations indexed

About

Martin Seeber is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Martin Seeber has authored 26 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Psychiatry and Mental health. Recurrent topics in Martin Seeber's work include EEG and Brain-Computer Interfaces (17 papers), Functional Brain Connectivity Studies (16 papers) and Neural dynamics and brain function (15 papers). Martin Seeber is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Functional Brain Connectivity Studies (16 papers) and Neural dynamics and brain function (15 papers). Martin Seeber collaborates with scholars based in Switzerland, Austria and United States. Martin Seeber's co-authors include Reinhold Scherer, Gernot Müller-Putz, Johanna Wagner, Christoph M. Michel, Teodoro Solis‐Escalante, Mauritius Hoevels, Thibaut Sesia, Veerle Visser‐Vandewalle, Martin Billinger and Clemens Brunner and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and NeuroImage.

In The Last Decade

Martin Seeber

26 papers receiving 914 citations

Peers

Martin Seeber

CMN

NEURO

RNMI

Jason D. Connolly United Kingdom

Johanna Wagner United States

Zübeyir Bayraktaroğlu Türkiye

Kimberly Kontson United States

Shahabeddin Vahdat Canada

Scott A. Beardsley United States

Harri Piitulainen Finland

Luca F. Ticini Germany

K. Portin Finland

Catharina Zich United Kingdom

Jason D. Connolly United Kingdom

Martin Seeber

1.3k ×1.6

141 ×0.7

123 ×0.8

CMN

51 ×0.8

NEURO

71 ×1.1

RNMI

Citations per year, relative to Martin Seeber Martin Seeber (= 1×) peers Jason D. Connolly

Countries citing papers authored by Martin Seeber

Since Specialization

Citations

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

Fields of papers citing papers by Martin Seeber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Seeber

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

All Works

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20 of 20 papers shown

Vorderwülbecke, Bernd J., Margherita Carboni, Sébastien Tourbier, et al.. (2025). High-Density EEG Source Localisation of averaged interictal epileptic Discharges validated by surgical Outcome. Scientific Data. 12(1). 1441–1441. 1 indexed citations

Seeber, Martin, Matthias Stangl, Uros Topalovic, et al.. (2025). Human neural dynamics of real-world and imagined navigation. Nature Human Behaviour. 9(4). 781–793. 3 indexed citations

Seeber, Martin, et al.. (2024). Combined effects of neuroticism and negative emotional context on spontaneous EEG dynamics. Social Cognitive and Affective Neuroscience. 19(1). 6 indexed citations

Seeber, Martin, et al.. (2023). Electrophysiological correlates of distance and direction processing during cognitive map retrieval: A source analysis. Frontiers in Human Neuroscience. 17. 1062064–1062064. 1 indexed citations

Mancini, Valentina, Vincent Rochas, Martin Seeber, et al.. (2022). Oscillatory Neural Signatures of Visual Perception Across Developmental Stages in Individuals With 22q11.2 Deletion Syndrome. Biological Psychiatry. 92(5). 407–418. 7 indexed citations

Roehri, Nicolas, Lucie Bréchet, Martin Seeber, Álvaro Pascual‐Leone, & Christoph M. Michel. (2022). Phase-Amplitude Coupling and Phase Synchronization Between Medial Temporal, Frontal and Posterior Brain Regions Support Episodic Autobiographical Memory Recall. Brain Topography. 35(2). 191–206. 11 indexed citations

Artoni, Fiorenzo, Juliane Britz, Martin Seeber, et al.. (2022). EEG microstate dynamics indicate a U-shaped path to propofol-induced loss of consciousness. NeuroImage. 256. 119156–119156. 35 indexed citations

Seeber, Martin, et al.. (2022). Beyond broadband: Towards a spectral decomposition of electroencephalography microstates. Human Brain Mapping. 43(10). 3047–3061. 38 indexed citations

Seeber, Martin & Christoph M. Michel. (2021). Synchronous Brain Dynamics Establish Brief States of Communality in Distant Neuronal Populations. eNeuro. 8(3). ENEURO.0005–21.2021. 5 indexed citations

10.

Carboni, Margherita, Denis Brunet, Martin Seeber, et al.. (2021). Linear distributed inverse solutions for interictal EEG source localisation. Clinical Neurophysiology. 133. 58–67. 11 indexed citations

11.

Raffin, Estelle, Martin Seeber, Christoph M. Michel, et al.. (2021). Enhancing visual motion discrimination by desynchronizing bifocal oscillatory activity. NeuroImage. 240. 118299–118299. 18 indexed citations

12.

Glomb, Katharina, Margherita Carboni, Maria Rubega, et al.. (2020). Using structural connectivity to augment community structure in EEG functional connectivity. Network Neuroscience. 4(3). 761–787. 14 indexed citations

13.

Vorderwülbecke, Bernd J., Margherita Carboni, Sébastien Tourbier, et al.. (2020). High-density Electric Source Imaging of interictal epileptic discharges: How many electrodes and which time point?. Clinical Neurophysiology. 131(12). 2795–2803. 19 indexed citations

14.

Seeber, Martin, et al.. (2020). ECoG Beta Suppression and Modulation During Finger Extension and Flexion. Frontiers in Neuroscience. 14. 35–35. 6 indexed citations

15.

Seeber, Martin, et al.. (2019). Subcortical electrophysiological activity is detectable with high-density EEG source imaging. Nature Communications. 10(1). 753–753. 200 indexed citations

16.

Rubega, Maria, Margherita Carboni, Martin Seeber, et al.. (2018). Estimating EEG Source Dipole Orientation Based on Singular-value Decomposition for Connectivity Analysis. Brain Topography. 32(4). 704–719. 42 indexed citations

17.

Seeber, Martin, Reinhold Scherer, & Gernot Müller-Putz. (2016). EEG Oscillations Are Modulated in Different Behavior-Related Networks during Rhythmic Finger Movements. Journal of Neuroscience. 36(46). 11671–11681. 48 indexed citations

18.

Brunner, Clemens, et al.. (2016). Volume Conduction Influences Scalp-Based Connectivity Estimates. Frontiers in Computational Neuroscience. 10. 121–121. 116 indexed citations

19.

Seeber, Martin, Reinhold Scherer, Johanna Wagner, Teodoro Solis‐Escalante, & Gernot Müller-Putz. (2015). High and low gamma EEG oscillations in central sensorimotor areas are conversely modulated during the human gait cycle. NeuroImage. 112. 318–326. 141 indexed citations

20.

Seeber, Martin, Reinhold Scherer, Johanna Wagner, Teodoro Solis‐Escalante, & Gernot Müller-Putz. (2014). EEG beta suppression and low gamma modulation are different elements of human upright walking. Frontiers in Human Neuroscience. 8. 485–485. 172 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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