Martin Voss

3.6k citations
34 papers · 2.4k indexed · 2 hit papers · h-index 22

Martin Voss

34 papers receiving 2.4k citations

Hit Papers

The Predictive Coding Account of Psychosis4842016202620192022100200300400

Peers

Martin Voss
Comparison fields: 5 of 118
  • Cognitive Neuroscience 1.6k
  • Psychiatry and Mental health 788
  • Philosophy 399
  • Neurology 245
  • Experimental and Cognitive Psychology 263
Replace Robert S. Astur with:
Robert S. Astur United States
Benoît G. Bardy France
Bruno Herbelin Switzerland
Giorgia Committeri Italy
K.B.E. Böcker Netherlands
Satoshi Umeda Japan
Ludovic Marín France
Michaela Esslen Switzerland
Weihua Zhao China
Michel‐Ange Amorim France
Martin Voss relative to Robert S. Astur United States Robert S. Astur's profile →
Citations per field
00.5×11.7×
Robert S. Astur · 1×
Citations per year

Countries citing papers authored by Martin Voss

Since Specialization
Citations

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

Fields of papers citing papers by Martin Voss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20218
2
The Predictive Coding Account of Psychosisbreakdown →
2018484
3 201868
4 201519
5 201321
6 201235
7 201176
8 201058
9 2010257
10 200812
11 200888
12 200740
13 200747
14 200632
15 200621
16 2005169
17 200514
18 200536
19 200240
20 200015

About Martin Voss

Martin Voss is a scholar working on Cognitive Neuroscience, Neurology and Psychiatry and Mental health, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Motor Control and Adaptation (10 papers), Psychosomatic Disorders and Their Treatments (10 papers), Mental Health and Psychiatry (10 papers), Transcranial Magnetic Stimulation Studies (9 papers), Free Will and Agency (8 papers), Muscle activation and electromyography studies (7 papers), Schizophrenia research and treatment (6 papers) and Action Observation and Synchronization (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Psychiatry and Mental health (788 citations) and Philosophy (399 citations). Martin Voss has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Patrick Haggard, Andreas Heinz, Daniel M. Wolpert, Gottfried Vosgerau, Philipp Sterzer, Matthis Synofzik, James N. Ingram, Juergen Gallinat, Marta Hauser and Thomas Rauschenbach. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience 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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