Peter H. Rudebeck

7.4k citations
53 papers · 4.9k indexed · 1 hit paper · h-index 29

Peter H. Rudebeck

51 papers receiving 4.8k citations

Hit Papers

The neural basis of reversal learning: An updated perspec...20162026201920222016100200300400

Peers

Peter H. Rudebeck
Comparison fields: 5 of 130
  • Cognitive Neuroscience 3.7k
  • Cellular and Molecular Neuroscience 1.2k
  • Social Psychology 782
  • Experimental and Cognitive Psychology 592
  • Behavioral Neuroscience 422
Replace Mark J. Buckley with:
Mark J. Buckley United Kingdom
Marc Guitart‐Masip United Kingdom
Tom Beckers Belgium
C. Daniel Salzman United States
Sébastien Bouret France
John A. Parkinson United Kingdom
J. Wayne Aldridge United States
Alicia Izquierdo United States
Jill X. O’Reilly United Kingdom
Robert C. Welsh United States
Peter H. Rudebeck relative to Mark J. Buckley United Kingdom Mark J. Buckley's profile →
Citations per field
00.5×1.7×
Mark J. Buckley · 1×
Citations per year

Countries citing papers authored by Peter H. Rudebeck

Since Specialization
Citations

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

Fields of papers citing papers by Peter H. Rudebeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter H. Rudebeck. 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 Peter H. Rudebeck. The network helps show where Peter H. Rudebeck may publish in the future.

Co-authorship network of co-authors of Peter H. Rudebeck

This figure shows the co-authorship network connecting the top 25 collaborators of Peter H. Rudebeck. A scholar is included among the top collaborators of Peter H. Rudebeck 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 Peter H. Rudebeck. Peter H. Rudebeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 3
4 4
5 10
6 16
7 21
8 20
9 22
10 41
11 169
12 122
13 59
14
The neural basis of reversal learning: An updated perspectivebreakdown →
428
15 47
16 116
17 148
18 295
19 116
20 111

About Peter H. Rudebeck

Peter H. Rudebeck is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 4.9k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (36 papers), Neural and Behavioral Psychology Studies (25 papers) and Neural dynamics and brain function (23 papers). The work is most often cited by research in Cognitive Neuroscience (3.7k citations), General Decision Sciences (223 citations) and Behavioral Neuroscience (422 citations). Peter H. Rudebeck has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Elisabeth A. Murray, Matthew F. S. Rushworth, Mark E. Walton, Timothy E.J. Behrens, David M. Bannerman, Mark J. Buckley, Alicia Izquierdo, Erin L. Rich, Richard C. Saunders and Anna K. Radke. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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