Mathias Vukelić

608 total citations
29 papers, 406 citations indexed

About

Mathias Vukelić is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Mathias Vukelić has authored 29 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Social Psychology. Recurrent topics in Mathias Vukelić's work include EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (12 papers) and Neural and Behavioral Psychology Studies (7 papers). Mathias Vukelić is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (12 papers) and Neural and Behavioral Psychology Studies (7 papers). Mathias Vukelić collaborates with scholars based in Germany, Switzerland and Argentina. Mathias Vukelić's co-authors include Alireza Gharabaghi, Robert Bauer, Ulf Ziemann, Georgios Naros, Christoph Braun, Matthias Peißner, Robert Guggenberger, Oliver Stefani, Maria Wirzberger and Paolo Belardinelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Sensors.

In The Last Decade

Mathias Vukelić

24 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Vukelić Germany 9 325 148 119 77 74 29 406
Pavel Bobrov Russia 13 407 1.3× 129 0.9× 118 1.0× 111 1.4× 54 0.7× 41 467
Friederike U. Hohlefeld Germany 13 561 1.7× 197 1.3× 104 0.9× 42 0.5× 47 0.6× 19 647
Andrej M. Savić Serbia 14 273 0.8× 111 0.8× 121 1.0× 91 1.2× 32 0.4× 52 511
Gangadhar Garipelli Switzerland 8 430 1.3× 195 1.3× 161 1.4× 168 2.2× 51 0.7× 16 606
Mari Ito Japan 6 307 0.9× 167 1.1× 141 1.2× 75 1.0× 36 0.5× 13 365
Ravikiran Mane Singapore 10 465 1.4× 200 1.4× 114 1.0× 85 1.1× 57 0.8× 12 595
Tiffany Corbet Switzerland 7 568 1.7× 275 1.9× 251 2.1× 116 1.5× 96 1.3× 9 656
Naoki Ota Japan 4 293 0.9× 168 1.1× 140 1.2× 58 0.8× 28 0.4× 5 334
R. Kh. Lyukmanov Russia 6 280 0.9× 135 0.9× 143 1.2× 135 1.8× 70 0.9× 22 367
Bahman Nasseroleslami Ireland 13 287 0.9× 135 0.9× 130 1.1× 36 0.5× 62 0.8× 38 580

Countries citing papers authored by Mathias Vukelić

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Vukelić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Vukelić

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Vukelić. A scholar is included among the top collaborators of Mathias Vukelić 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 Mathias Vukelić. Mathias Vukelić 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.
2.
Vukelić, Mathias, et al.. (2023). GAUDIE: Development, validation, and exploration of a naturalistic German AUDItory Emotional database. Behavior Research Methods. 56(3). 2049–2063. 1 indexed citations
3.
Vukelić, Mathias, et al.. (2023). Sleep quality and comfort in fully automated vehicles: A comparison of two seat configurations. Applied Ergonomics. 114. 104137–104137.
4.
Vukelić, Mathias, et al.. (2023). Combining brain-computer interfaces with deep reinforcement learning for robot training: a feasibility study in a simulation environment. SHILAP Revista de lepidopterología. 4. 1274730–1274730. 2 indexed citations
5.
Wirzberger, Maria, et al.. (2023). Workload-dependent hemispheric asymmetries during the emotion-cognition interaction: a close-to-naturalistic fNIRS study. SHILAP Revista de lepidopterología. 4. 1273810–1273810. 1 indexed citations
6.
Wirzberger, Maria, et al.. (2023). Decoding Mental Effort in a Quasi-Realistic Scenario: A Feasibility Study on Multimodal Data Fusion and Classification. Sensors. 23(14). 6546–6546. 5 indexed citations
7.
Vukelić, Mathias, et al.. (2023). Investigating Feature Set Decisions for Mental State Decoding in Virtual Reality based Learning Environments. AHFE international. 1 indexed citations
8.
Vukelić, Mathias, et al.. (2022). Oscillatory neurofeedback networks and poststroke rehabilitative potential in severely impaired stroke patients. NeuroImage Clinical. 37. 103289–103289. 4 indexed citations
9.
Diederichs, Frederik, et al.. (2021). Brain Oscillation Entrainment by Perceptible and Non-perceptible Rhythmic Light Stimulation. PubMed. 2. 646225–646225. 3 indexed citations
10.
Vukelić, Mathias, et al.. (2020). Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems. Brain Sciences. 11(1). 35–35. 3 indexed citations
11.
Vukelić, Mathias, et al.. (2019). Different oscillatory entrainment of cortical networks during motor imagery and neurofeedback in right and left handers. NeuroImage. 195. 190–202. 12 indexed citations
12.
Stefani, Oliver, et al.. (2019). How to Work in the Car of the Future?. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–14. 17 indexed citations
13.
Bauer, Robert, Mathias Vukelić, & Alireza Gharabaghi. (2016). What is the optimal task difficulty for reinforcement learning of brain self-regulation?. Clinical Neurophysiology. 127(9). 3033–3041. 25 indexed citations
14.
Vukelić, Mathias & Alireza Gharabaghi. (2015). Self-regulation of circumscribed brain activity modulates spatially selective and frequency specific connectivity of distributed resting state networks. Frontiers in Behavioral Neuroscience. 9. 181–181. 40 indexed citations
15.
Vukelić, Mathias, et al.. (2015). Brain state-dependent robotic reaching movement with a multi-joint arm exoskeleton: combining brain-machine interfacing and robotic rehabilitation. Frontiers in Human Neuroscience. 9. 564–564. 54 indexed citations
16.
Vukelić, Mathias & Alireza Gharabaghi. (2015). Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality. NeuroImage. 111. 1–11. 77 indexed citations
17.
Vukelić, Mathias, et al.. (2015). Towards affect detection during human-technology interaction: An empirical study using a combined EEG and fNIRS approach. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 726–732.
18.
Vukelić, Mathias, et al.. (2013). Lateralized alpha-band cortical networks regulate volitional modulation of beta-band sensorimotor oscillations. NeuroImage. 87. 147–153. 52 indexed citations
19.
Strauß, Daniel J., Michael Busse, David R. Stevens, et al.. (2013). Estimating the modulatory effects of nanoparticles on neuronal circuits using computational upscaling. International Journal of Nanomedicine. 8. 3559–3559. 3 indexed citations
20.
Busse, Michael, Mathias Vukelić, Annette Kraegeloh, et al.. (2011). On the possible effects of nanoparticles on neuronal feedback circuits: A modeling study. 22. 136–139.

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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