Markus Gschwind

1.9k citations
32 papers · 1.3k indexed · h-index 16

Impact in

Papers in

Markus Gschwind

29 papers receiving 1.3k citations

Peers

Markus Gschwind
Comparison fields: 5 of 96
  • Cognitive Neuroscience 1.1k
  • Experimental and Cognitive Psychology 214
  • Radiology, Nuclear Medicine and Imaging 311
  • Computational Mathematics 7
  • Psychiatry and Mental health 179
Replace Tuomo Starck with:
Tuomo Starck Finland
Binyam Nardos United States
Davide Imperati Germany
Maria Giulia Preti Switzerland
Lauren Cloutman United Kingdom
Maria João Rosa United Kingdom
Andrew M. Michael United States
Youjin Zhao China
Motoaki Nakamura United States
Markus Gschwind relative to Tuomo Starck Finland Tuomo Starck's profile →
Citations per field
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Tuomo Starck · 1×
Citations per year

Countries citing papers authored by Markus Gschwind

Since Specialization
Citations

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

Fields of papers citing papers by Markus Gschwind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Gschwind, 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 Markus Gschwind Line = papers co-authored together Markus Gschwind links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013310
2 2011224
3 2011146
4 2010100
5 201686
6 201278
7 201653
8 201650
9 201545
10 201641
11 201737
12 201937
13 201736
14 201630
15 201219
16 201616
17 201413
18 20125
19 20154
20 20134

About Markus Gschwind

Markus Gschwind is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Pathology and Forensic Medicine and Molecular Biology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (8 papers), Epilepsy research and treatment (7 papers), Functional Brain Connectivity Studies (7 papers), EEG and Brain-Computer Interfaces (5 papers), Multiple Sclerosis Research Studies (4 papers), Neural dynamics and brain function (4 papers), Neuroscience and Music Perception (3 papers) and Phonetics and Phonology Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Experimental and Cognitive Psychology (214 citations), Radiology, Nuclear Medicine and Imaging (311 citations), Computational Mathematics (7 citations) and Psychiatry and Mental health (179 citations). Markus Gschwind has collaborated with scholars based in Switzerland, Belgium and France. Frequent co-authors include Patrik Vuilleumier, Dimitri Van De Ville, Myriam Schluep, Samanta Simioni, Jean‐Marie Annoni, Jonas Richiardi, Sophie Schwartz, Margitta Seeck, Gilles Pourtois and Nora Leonardi. Their work appears in journals such as NeuroImage, Cerebral Cortex, Multiple Sclerosis and Related Disorders, Epilepsia Open and PLoS ONE.

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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