Mathias Vukelić

619 citations
41 papers · 499 · h-index 11

Impact in

    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies
    • Neural dynamics and brain function
    • Stroke Rehabilitation and Recovery

Papers in

Mathias Vukelić

36 papers receiving 489 citations

Peers

Mathias Vukelić
Comparison fields: 5 of 67
  • Cognitive Neuroscience 324
  • Rehabilitation 73
  • Neurology 76
  • Cellular and Molecular Neuroscience 123
  • Human-Computer Interaction 35
Replace Bálint Várkuti with:
Bálint Várkuti Germany
Andrej M. Savić Serbia
Caroline Dietrich Germany
Pavel Bobrov Russia
Friederike U. Hohlefeld Germany
Naveed Ejaz United Kingdom
Konstantinos P. Michmizos United States
Tiffany Corbet Switzerland
Dragana Viceic Switzerland
Gangadhar Garipelli Switzerland
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Citations per field
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Bálint Várkuti · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mathias Vukelić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathias Vukelić Line = papers co-authored together Mathias Vukelić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201583
2 201482
3 201562
4 201354
5 201544
6 201626
7 201922
8 201914
9 202013
10 201910
11 201610
12 19969
13 20178
14 20216
15 20235
16 20225
17 20195
18 20214
19 20204
20 20134

About Mathias Vukelić

Mathias Vukelić is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Social Psychology, Experimental and Cognitive Psychology and Biomedical Engineering, having authored 41 papers that have together received 499 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (25 papers), Neural and Behavioral Psychology Studies (12 papers), Neural dynamics and brain function (11 papers), Functional Brain Connectivity Studies (11 papers), Neuroscience and Neural Engineering (5 papers), Color perception and design (4 papers), Human-Automation Interaction and Safety (4 papers) and Emotion and Mood Recognition (4 papers). The work is most often cited by research in Cognitive Neuroscience (324 citations), Rehabilitation (73 citations), Neurology (76 citations), Cellular and Molecular Neuroscience (123 citations) and Human-Computer Interaction (35 citations). Mathias Vukelić has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Alireza Gharabaghi, Robert Bauer, Ulf Ziemann, Matthias Peißner, Kathrin Pollmann, Christoph Braun, Georgios Naros, Robert Guggenberger, Oliver Stefani and Wilhelm Bauer. Their work appears in journals such as NeuroImage, Clinical Neurophysiology, Frontiers in Human Neuroscience, NeuroImage Clinical and Behavior Research Methods.

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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