Simon Schwab

1.5k citations
41 papers · 823 · h-index 15

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • EEG and Brain-Computer Interfaces
    • Suicide and Self-Harm Studies

Papers in

Simon Schwab

40 papers receiving 804 citations

Peers

Simon Schwab
Comparison fields: 5 of 121
  • Cognitive Neuroscience 251
  • Clinical Psychology 221
  • Behavioral Neuroscience 28
  • Psychiatry and Mental health 70
  • Statistics, Probability and Uncertainty 35
Replace Carmen E. Sanchez with:
Carmen E. Sanchez United States
Corey N. White United States
John Done United Kingdom
Jessica Caldwell United States
Jennifer J. Kulynych United States
Nora Maria Raschle Switzerland
Udo Böhm Hungary
Nora M. Thompson United States
Nora C. Vetter Germany
Fengji Geng China
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Citations per field
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Citations per year

Countries citing papers authored by Simon Schwab

Since Specialization
Citations

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

Fields of papers citing papers by Simon Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Schwab, 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 Simon Schwab Line = papers co-authored together Simon Schwab 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 2016194
2 201499
3
Good Research Practice
201956
4 201455
5 202140
6 202036
7 201530
8 201626
9 202125
10 202124
11 202020
12 201319
13 201819
14 201316
15 202114
16 201914
17 202314
18 202013
19 201511
20 201610

About Simon Schwab

Simon Schwab is a scholar working on Cognitive Neuroscience, Statistics, Probability and Uncertainty, Clinical Psychology, Radiology, Nuclear Medicine and Imaging and Behavioral Neuroscience, having authored 41 papers that have together received 823 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Meta-analysis and systematic reviews (6 papers), Neural dynamics and brain function (5 papers), Stress Responses and Cortisol (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), EEG and Brain-Computer Interfaces (4 papers), Neural and Behavioral Psychology Studies (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Cognitive Neuroscience (251 citations), Clinical Psychology (221 citations), Behavioral Neuroscience (28 citations), Psychiatry and Mental health (70 citations) and Statistics, Probability and Uncertainty (35 citations). Simon Schwab has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Leila M. Soravia, Anja Gysin-Maillart, Konrad Michel, Leonhard Held, Kay Jann, Eva Furrer, Rachel Heyard, Andrea Federspiel, Roland Wiest and Thomas Dierks. Their work appears in journals such as PLoS ONE, NeuroImage, Neuropsychopharmacology, Human Brain Mapping and Frontiers in Psychiatry.

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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