Caswell Barry

8.8k total citations · 4 hit papers
50 papers, 4.3k citations indexed

About

Caswell Barry is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Caswell Barry has authored 50 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 37 papers in Cellular and Molecular Neuroscience and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Caswell Barry's work include Memory and Neural Mechanisms (42 papers), Neuroscience and Neuropharmacology Research (34 papers) and Neural dynamics and brain function (16 papers). Caswell Barry is often cited by papers focused on Memory and Neural Mechanisms (42 papers), Neuroscience and Neuropharmacology Research (34 papers) and Neural dynamics and brain function (16 papers). Caswell Barry collaborates with scholars based in United Kingdom, United States and Netherlands. Caswell Barry's 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 and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Caswell Barry

49 papers receiving 4.3k citations

Hit Papers

Evidence for grid cells in a human memory network 2007 2026 2013 2019 2010 2007 2020 2015 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Caswell Barry United Kingdom 26 3.9k 2.5k 387 361 315 50 4.3k
Kathryn J. Jeffery United Kingdom 39 4.2k 1.1× 2.8k 1.1× 664 1.7× 620 1.7× 205 0.7× 95 5.2k
Colin Lever United Kingdom 28 3.2k 0.8× 2.3k 0.9× 356 0.9× 259 0.7× 137 0.4× 47 4.0k
Sturla Molden Norway 7 3.8k 1.0× 2.9k 1.2× 418 1.1× 207 0.6× 164 0.5× 9 4.3k
Torkel Hafting Norway 19 5.9k 1.5× 4.9k 2.0× 591 1.5× 253 0.7× 222 0.7× 33 7.2k
Emilio Kropff Argentina 13 2.4k 0.6× 1.7k 0.7× 263 0.7× 160 0.4× 158 0.5× 25 3.0k
Francesco P. Battaglia Netherlands 31 5.9k 1.5× 3.4k 1.4× 348 0.9× 136 0.4× 211 0.7× 80 6.8k
Sidney I. Wiener France 32 4.6k 1.2× 3.5k 1.4× 436 1.1× 200 0.6× 136 0.4× 64 5.5k
Marianne Fyhn Norway 26 6.6k 1.7× 5.5k 2.2× 676 1.7× 282 0.8× 246 0.8× 44 8.3k
Paul A. Dudchenko United Kingdom 31 4.2k 1.1× 3.0k 1.2× 666 1.7× 281 0.8× 91 0.3× 70 5.1k
Christian F. Doeller Germany 42 4.7k 1.2× 1.5k 0.6× 376 1.0× 930 2.6× 365 1.2× 100 6.0k

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
1.
Poondla, Naresh, Caswell Barry, Hamed Manoochehri, et al.. (2025). Exosome-based therapies and biomarkers in stroke: Current advances and future directions. Experimental Neurology. 391. 115286–115286.
2.
Muessig, Laurenz, Tale L. Bjerknes, Caswell Barry, et al.. (2024). Environment geometry alters subiculum boundary vector cell receptive fields in adulthood and early development. Nature Communications. 15(1). 982–982. 8 indexed citations
3.
Carvalho, Wilka, Momchil S. Tomov, William de Cothi, Caswell Barry, & Samuel J. Gershman. (2024). Predictive Representations: Building Blocks of Intelligence. Neural Computation. 36(11). 2225–2298. 2 indexed citations
4.
Cothi, William de, et al.. (2024). RatInABox, a toolkit for modelling locomotion and neuronal activity in continuous environments. eLife. 13. 1 indexed citations
5.
Barry, Caswell, et al.. (2023). Theta-band phase locking during encoding leads to coordinated entorhinal-hippocampal replay. Current Biology. 33(21). 4570–4581.e5. 4 indexed citations
6.
Duvelle, Éléonore, et al.. (2022). Spatial goal coding in the hippocampal formation. Neuron. 110(3). 394–422. 59 indexed citations
7.
Liu, Yunzhe, Raymond J. Dolan, Héctor Penagos, et al.. (2021). Temporally delayed linear modelling (TDLM) measures replay in both animals and humans. eLife. 10. 25 indexed citations
8.
Barry, Caswell, et al.. (2021). Choice of method of place cell classification determines the population of cells identified. PLoS Computational Biology. 17(7). e1008835–e1008835. 9 indexed citations
9.
Bush, Daniel, H. Freyja Ólafsdóttir, Caswell Barry, & Neil Burgess. (2021). Ripple band phase precession of place cell firing during replay. Current Biology. 32(1). 64–73.e5. 6 indexed citations
10.
Casali, Giulio, et al.. (2019). Entorhinal Neurons Exhibit Cue Locking in Rodent VR. Frontiers in Cellular Neuroscience. 12. 512–512. 12 indexed citations
11.
Magno, Lorenza, et al.. (2017). NKX2-1 Is Required in the Embryonic Septum for Cholinergic System Development, Learning, and Memory. Cell Reports. 20(7). 1572–1584. 49 indexed citations
12.
Carpenter, Francis & Caswell Barry. (2016). Distorted Grids as a Spatial Label and Metric. Trends in Cognitive Sciences. 20(3). 164–167. 7 indexed citations
13.
Vicente-Grabovetsky, Alejandro, Caswell Barry, P.G.W. Smulders, et al.. (2016). Hippocampal Attractor Dynamics Predict Memory-Based Decision Making. Current Biology. 26(13). 1750–1757. 25 indexed citations
14.
Carpenter, Francis, Daniel K. Manson, Kathryn J. Jeffery, Neil Burgess, & Caswell Barry. (2015). Grid Cells Form a Global Representation of Connected Environments. Current Biology. 25(9). 1176–1182. 80 indexed citations
15.
Barry, Caswell, James G. Heys, & Michael E. Hasselmo. (2012). Possible role of acetylcholine in regulating spatial novelty effects on theta rhythm and grid cells. Frontiers in Neural Circuits. 6. 5–5. 57 indexed citations
16.
Wills, Thomas J., Caswell Barry, & Francesca Cacucci. (2012). The abrupt development of adult-like grid cell firing in the medial entorhinal cortex. Frontiers in Neural Circuits. 6. 21–21. 61 indexed citations
17.
Doeller, Christian F., Caswell Barry, & Neil Burgess. (2010). Evidence for grid cells in a human memory network. Nature. 463(7281). 657–661. 509 indexed citations breakdown →
18.
Barry, Caswell, Robin Hayman, Neil Burgess, & Kathryn J. Jeffery. (2007). Experience-dependent rescaling of entorhinal grids. Nature Neuroscience. 10(6). 682–684. 375 indexed citations
19.
Burgess, Neil, Caswell Barry, & John O’Keefe. (2007). An oscillatory interference model of grid cell firing. Hippocampus. 17(9). 801–812. 493 indexed citations breakdown →
20.
Barry, Caswell, Colin Lever, Robin Hayman, et al.. (2006). The Boundary Vector Cell Model of Place Cell Firing and Spatial Memory. Reviews in the Neurosciences. 17(1-2). 71–97. 264 indexed citations

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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