Dan Mønster

963 citations
19 papers · 672 · h-index 9

Impact in

Papers in

Dan Mønster

19 papers receiving 662 citations

Peers

Dan Mønster
Comparison fields: 5 of 122
  • Social Psychology 161
  • Cognitive Neuroscience 138
  • Condensed Matter Physics 81
  • Experimental and Cognitive Psychology 65
  • Sensory Systems 20
Replace Marina Fortes with:
Marina Fortes France
Loïc Lemoine France
Nathan J. Evans Australia
Antonio G. Chessa Netherlands
Francisco J. Perales Spain
Joachim Werner Germany
Warren L. Smith United States
Jeff Alstott United States
Chetan Prakash United States
Ricardo Gutiérrez Spain
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Citations per field
00.5×10×
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Citations per year

Countries citing papers authored by Dan Mønster

Since Specialization
Citations

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

Fields of papers citing papers by Dan Mønster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018166
2 2016107
3 2016101
4 201580
5 201676
6 199967
7 202129
8
Beyond Synchrony: Complementarity and Asynchrony in Joint Action
201311
9 20019
10 20227
11 19996
12 20185
13 20222
14 20041
15
Response Based Segmentation in Satisfaction Surveys
20131
16 20241
17 20231
18
Recurrence Quantification Analysis for Categorical and Continuous Time-Series [R package crqa version 2.0.1]
20201
19
Academic Streaming in Europe: Report on TF-Netcast.
20041

About Dan Mønster

Dan Mønster is a scholar working on Cognitive Neuroscience, Economics and Econometrics, Social Psychology, Condensed Matter Physics and Safety Research, having authored 19 papers that have together received 672 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (4 papers), Experimental Behavioral Economics Studies (3 papers), Physics of Superconductivity and Magnetism (3 papers), Neural and Behavioral Psychology Studies (2 papers), Action Observation and Synchronization (2 papers), Theoretical and Computational Physics (2 papers), Neural dynamics and brain function (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Social Psychology (161 citations), Cognitive Neuroscience (138 citations), Condensed Matter Physics (81 citations), Experimental and Cognitive Psychology (65 citations) and Sensory Systems (20 citations). Dan Mønster has collaborated with scholars based in Denmark, United Kingdom and Germany. Frequent co-authors include Sebastian Wallot, Andreas Roepstorff, Jacob Eskildsen, Dorthe Døjbak Håkonsson, Riccardo Fusaroli, Kristian Tylén, Jacob Sherson, Richard M. Burton, Linda Argote and Børge Obel. Their work appears in journals such as Frontiers in Psychology, Physical review. B, Condensed matter, Physica C Superconductivity, Physiology & Behavior and Strategic Management Journal.

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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