Martin Lamoš

469 total citations
39 papers, 274 citations indexed

About

Martin Lamoš is a scholar working on Cognitive Neuroscience, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Martin Lamoš has authored 39 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 9 papers in Neurology and 7 papers in Psychiatry and Mental health. Recurrent topics in Martin Lamoš's work include Functional Brain Connectivity Studies (22 papers), Neural dynamics and brain function (15 papers) and EEG and Brain-Computer Interfaces (14 papers). Martin Lamoš is often cited by papers focused on Functional Brain Connectivity Studies (22 papers), Neural dynamics and brain function (15 papers) and EEG and Brain-Computer Interfaces (14 papers). Martin Lamoš collaborates with scholars based in Czechia, United States and Switzerland. Martin Lamoš's co-authors include Milan Brázdil, Ivan Rektor, Radek Mareček, Michal Mikl, Jiří Jan, Marek Baláž, Martina Bočková, T. Slavicek, Petr Klimeš and René Labounek and has published in prestigious journals such as Scientific Reports, Epilepsia and Psychophysiology.

In The Last Decade

Martin Lamoš

36 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Lamoš Czechia 10 168 68 56 48 39 39 274
Steve Higham United Kingdom 6 158 0.9× 51 0.8× 128 2.3× 22 0.5× 11 0.3× 6 334
Ivanna M. Pavisic United Kingdom 9 80 0.5× 40 0.6× 107 1.9× 41 0.9× 17 0.4× 17 232
Petra Redel Germany 10 258 1.5× 33 0.5× 100 1.8× 19 0.4× 15 0.4× 11 356
L. Galán Cuba 10 303 1.8× 22 0.3× 96 1.7× 32 0.7× 61 1.6× 15 395
Jing Wei China 9 197 1.2× 57 0.8× 32 0.6× 41 0.9× 21 0.5× 26 317
Xujing Ma China 8 251 1.5× 71 1.0× 81 1.4× 45 0.9× 22 0.6× 9 335
A. Simmons United Kingdom 5 346 2.1× 65 1.0× 31 0.6× 13 0.3× 15 0.4× 7 389
Hyo Woon Yoon South Korea 10 313 1.9× 52 0.8× 18 0.3× 24 0.5× 7 0.2× 19 401
Silvia Primativo Italy 10 147 0.9× 38 0.6× 69 1.2× 22 0.5× 5 0.1× 25 279
Seung Suk Kang United States 11 263 1.6× 63 0.9× 84 1.5× 77 1.6× 18 0.5× 24 420

Countries citing papers authored by Martin Lamoš

Since Specialization
Citations

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

Fields of papers citing papers by Martin Lamoš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Lamoš

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Lamoš. A scholar is included among the top collaborators of Martin Lamoš 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 Lamoš. Martin Lamoš 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.
Williamson, Adam, Florian Missey, Emma Acerbo, et al.. (2025). Clinical Results of Non-invasive Deep Brain Stimulation in Epilepsy and Parkinson’s patients using Temporal Interference. Brain stimulation. 18(1). 219–219.
2.
Maceira-Elvira, Pablo, Sylvain Harquel, Traian Popa, et al.. (2024). Physiology-inspired bifocal fronto-parietal tACS for working memory enhancement. Heliyon. 10(18). e37427–e37427. 3 indexed citations
3.
Lamoš, Martin, et al.. (2023). The effect of deep brain stimulation in Parkinson’s disease reflected in EEG microstates. npj Parkinson s Disease. 9(1). 63–63. 10 indexed citations
4.
Říha, Pavel, Irena Doležalová, Radek Mareček, et al.. (2022). Multimodal combination of neuroimaging methods for localizing the epileptogenic zone in MR-negative epilepsy. Scientific Reports. 12(1). 15158–15158. 11 indexed citations
5.
Linhartová, Pavla, et al.. (2022). Brain Connectivity and Symptom Changes After Transcranial Magnetic Stimulation in Patients With Borderline Personality Disorder. Frontiers in Psychiatry. 12. 770353–770353. 6 indexed citations
6.
Lamoš, Martin, et al.. (2022). Inter-individual differences in baseline dynamic functional connectivity are linked to cognitive aftereffects of tDCS. Scientific Reports. 12(1). 20754–20754. 6 indexed citations
7.
Lamoš, Martin, et al.. (2021). Altered Spatiotemporal Dynamics of the Resting Brain in Mild Cognitive Impairment with Lewy Bodies. Movement Disorders. 36(10). 2435–2440. 9 indexed citations
8.
Mareček, Radek, Pavel Říha, Martin Lamoš, et al.. (2021). Automated fusion of multimodal imaging data for identifying epileptogenic lesions in patients with inconclusive magnetic resonance imaging. Human Brain Mapping. 42(9). 2921–2930. 15 indexed citations
9.
Lamoš, Martin, et al.. (2021). Dynamic Functional Connectivity Signifies the Joint Impact of Dance Intervention and Cognitive Reserve. Frontiers in Aging Neuroscience. 13. 724094–724094. 4 indexed citations
10.
Damborská, Alena, Martin Lamoš, Denis Brunet, et al.. (2021). Resting-State Phase-Amplitude Coupling Between the Human Subthalamic Nucleus and Cortical Activity: A Simultaneous Intracranial and Scalp EEG Study. Brain Topography. 34(3). 272–282. 9 indexed citations
11.
Czekóová, Kristína, et al.. (2021). Imitation or Polarity Correspondence? Behavioural and Neurophysiological Evidence for the Confounding Influence of Orthogonal Spatial Compatibility on Measures of Automatic Imitation. Cognitive Affective & Behavioral Neuroscience. 21(1). 212–230. 5 indexed citations
12.
Mareček, Radek, et al.. (2021). Inferior parietal lobule involved in representation of “what” in a delayed-action Libet task. Consciousness and Cognition. 93. 103149–103149. 3 indexed citations
13.
Strýček, Ondřej, Martin Lamoš, Petr Klimeš, & Ivan Rektor. (2020). Cognitive task-related functional connectivity alterations in temporal lobe epilepsy. Epilepsy & Behavior. 112. 107409–107409. 8 indexed citations
14.
Labounek, René, David A. Bridwell, Radek Mareček, et al.. (2019). EEG spatiospectral patterns and their link to fMRI BOLD signal via variable hemodynamic response functions. Journal of Neuroscience Methods. 318. 34–46. 7 indexed citations
15.
Gajdoš, Martin, et al.. (2018). Robustness of Representative Signals Relative to Data Loss Using Atlas-Based Parcellations. Brain Topography. 31(5). 767–779. 4 indexed citations
16.
Lamoš, Martin, Radek Mareček, T. Slavicek, et al.. (2018). Spatial-temporal-spectral EEG patterns of BOLD functional network connectivity dynamics. Journal of Neural Engineering. 15(3). 36025–36025. 13 indexed citations
17.
Labounek, René, David A. Bridwell, Radek Mareček, et al.. (2017). Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA. Brain Topography. 31(1). 76–89. 9 indexed citations
18.
Labounek, René, Martin Lamoš, Radek Mareček, Milan Brázdil, & Jiří Jan. (2015). Exploring task-related variability in fMRI data using fluctuations in power spectrum of simultaneously acquired EEG. Journal of Neuroscience Methods. 245. 125–136. 9 indexed citations
19.
Odstrčilík, Jan, Radim Kolář, R. P. Tornow, et al.. (2014). Thickness related textural properties of retinal nerve fiber layer in color fundus images. Computerized Medical Imaging and Graphics. 38(6). 508–516. 31 indexed citations
20.
Labounek, René, et al.. (2012). Analysis of connections between simultaneous EEG and fMRI data. Brno University of Technology Digital Library (Brno University of Technology). 576–579.

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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