Daniel J. Shaw

1.3k citations
61 papers · 750 · h-index 16

Impact in

    • Neural and Behavioral Psychology Studies
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Action Observation and Synchronization

Papers in

    • Neural and Behavioral Psychology Studies 19
    • Functional Brain Connectivity Studies 13
    • Neural dynamics and brain function 9
    • Face Recognition and Perception 8
    • EEG and Brain-Computer Interfaces 6
    • Psychology of Moral and Emotional Judgment 5
    • Action Observation and Synchronization 13

Daniel J. Shaw

60 papers receiving 735 citations

Peers

Daniel J. Shaw
Comparison fields: 5 of 106
  • Cognitive Neuroscience 331
  • Social Psychology 183
  • Experimental and Cognitive Psychology 93
  • Neurology 52
  • Parasitology 39
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Citations per field
00.5×5.6×
Jesse W. Young · 1×
Citations per year

Countries citing papers authored by Daniel J. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Shaw. 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 Daniel J. Shaw. The network helps show where Daniel J. Shaw may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996117
2 201136
3 201533
4 201832
5 201332
6 201731
7 202030
8 201427
9 201824
10 201324
11 201922
12 200721
13 202019
14 201917
15 201017
16 201917
17 202015
18 200913
19 201113
20 202111

About Daniel J. Shaw

Daniel J. Shaw is a scholar working on Cognitive Neuroscience, Social Psychology, Sociology and Political Science, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology, having authored 61 papers that have together received 750 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (19 papers), Action Observation and Synchronization (13 papers), Functional Brain Connectivity Studies (13 papers), Neural dynamics and brain function (9 papers), Face Recognition and Perception (8 papers), EEG and Brain-Computer Interfaces (6 papers), Psychology of Moral and Emotional Judgment (5 papers) and Child and Animal Learning Development (5 papers). The work is most often cited by research in Cognitive Neuroscience (331 citations), Social Psychology (183 citations), Experimental and Cognitive Psychology (93 citations), Neurology (52 citations) and Parasitology (39 citations). Daniel J. Shaw has collaborated with scholars based in Czechia, United Kingdom and United States. Frequent co-authors include Kristína Czekóová, Milan Brázdil, Kenneth Wilson, Bryan T. Grenfell, Radek Mareček, Martin Bareš, Tomáš Urbánek, Dimitris Xygalatas, Gabriel Leonard and Marie‐Hélène Grosbras. Their work appears in journals such as PLoS ONE, Frontiers in Psychology, NeuroImage, Reflective Practice and Social Cognitive and Affective Neuroscience.

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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