Caswell Barry

8.8k citations
50 papers · 4.3k indexed · 4 hit papers · h-index 26
Topics
Memory and Neural Mechanisms (42 papers)Neuroscience and Neuropharmacology Research (34 papers)Neural dynamics and brain function (16 papers)

In The Last Decade

Caswell Barry

49 papers receiving 4.3k citations

Hit Papers

Evidence for grid cells in a human memory network20072026201320192010200720202015100200300400500

Peers

Caswell Barry
Comparison fields: 5 of 115
  • Cognitive Neuroscience 3.9k
  • Cellular and Molecular Neuroscience 2.5k
  • Sensory Systems 387
  • Automotive Engineering 361
  • Artificial Intelligence 315
Replace Kathryn J. Jeffery with:
Kathryn J. Jeffery United Kingdom
Colin Lever United Kingdom
Sturla Molden Norway
Emilio Kropff Argentina
Étienne Save France
Joshua Jacobs United States
Trygve Solstad Norway
Francesco P. Battaglia Netherlands
Sidney I. Wiener France
Jeremy B. Caplan Canada
Caswell Barry relative to Kathryn J. Jeffery United Kingdom Kathryn J. Jeffery's profile →
Citations per field
00.5×1.5×
Kathryn J. Jeffery · 1×
Citations per year

Countries citing papers authored by Caswell Barry

Since Specialization
Citations

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

Fields of papers citing papers by Caswell Barry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caswell Barry

This figure shows the co-authorship network connecting the top 25 collaborators of Caswell Barry. A scholar is included among the top collaborators of Caswell Barry 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 Caswell Barry. Caswell Barry 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 0
2 8
3 2
4 1
5 4
6 59
7 25
8 9
9 6
10 12
11 49
12 7
13 25
14 80
15 57
16 61
17
Evidence for grid cells in a human memory networkbreakdown →
509
18 375
19
An oscillatory interference model of grid cell firingbreakdown →
493
20 264

About Caswell Barry

Caswell Barry is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 50 papers that have together received 4.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (42 papers), Neuroscience and Neuropharmacology Research (34 papers) and Neural dynamics and brain function (16 papers). The work is most often cited by research in Cognitive Neuroscience (3.9k citations), Cellular and Molecular Neuroscience (2.5k citations) and Sensory Systems (387 citations). Caswell Barry has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Neil Burgess, John O’Keefe, Christian F. Doeller, H. Freyja Ólafsdóttir, Robin Hayman, Daniel Bush, Kathryn J. Jeffery, Hugo J. Spiers, Francis Carpenter and Stephen Burton. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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