Robert W. Krause

1.6k citations
13 papers · 916 indexed · 1 hit paper · h-index 8
Topics
Statistical Methods and Bayesian Inference (3 papers)Bayesian Methods and Mixture Models (2 papers)Complex Network Analysis Techniques (2 papers)

In The Last Decade

Robert W. Krause

11 papers receiving 891 citations

Hit Papers

What do centrality measures measure in psychological netw...20192026202120232019200400600

Peers

Robert W. Krause
Comparison fields: 5 of 115
  • Experimental and Cognitive Psychology 648
  • Cognitive Neuroscience 328
  • Clinical Psychology 218
  • Biological Psychiatry 141
  • Psychiatry and Mental health 111
Replace David Schoch with:
David Schoch Germany
Anna Wysocki United States
Noémi Katalin Schuurman Netherlands
Xiangping Liu China
Emorie D Beck United States
Michael V. Bronstein United States
Teague R. Henry United States
Samantha F. Anderson United States
Sara Steegen Belgium
Robert W. Krause relative to David Schoch Germany David Schoch's profile →
Citations per field
00.5×3.5×
David Schoch · 1×
Citations per year

Countries citing papers authored by Robert W. Krause

Since Specialization
Citations

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

Fields of papers citing papers by Robert W. Krause

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert W. Krause. 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 Robert W. Krause. The network helps show where Robert W. Krause may publish in the future.

Co-authorship network of co-authors of Robert W. Krause

This figure shows the co-authorship network connecting the top 25 collaborators of Robert W. Krause. A scholar is included among the top collaborators of Robert W. Krause based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert W. Krause. Robert W. Krause is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 3
3 3
4 14
5 7
6 6
7 30
8 0
9 41
10
What do centrality measures measure in psychological networks?breakdown →
716
11 14
12 30
13 52

About Robert W. Krause

Robert W. Krause is a scholar working on Statistics and Probability, Experimental and Cognitive Psychology and Applied Psychology, having authored 13 papers that have together received 916 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Bayesian Methods and Mixture Models (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Biological Psychiatry (141 citations), Experimental and Cognitive Psychology (648 citations) and Cognitive Neuroscience (328 citations). Robert W. Krause has collaborated with scholars based in Netherlands, United States and Sweden. Frequent co-authors include Timon Elmer, Johanna T. W. Wigman, David Schoch, Laura F. Bringmann, Marieke Wichers, Sacha Epskamp, Evelien Snippe, Mark Huisman, Tom A. B. Snijders and Christian Steglich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology 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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