Robin Hayman

2.3k total citations
19 papers, 1.5k citations indexed

About

Robin Hayman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Robin Hayman has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 5 papers in Sensory Systems. Recurrent topics in Robin Hayman's work include Memory and Neural Mechanisms (19 papers), Neuroscience and Neuropharmacology Research (12 papers) and Olfactory and Sensory Function Studies (5 papers). Robin Hayman is often cited by papers focused on Memory and Neural Mechanisms (19 papers), Neuroscience and Neuropharmacology Research (12 papers) and Olfactory and Sensory Function Studies (5 papers). Robin Hayman collaborates with scholars based in United Kingdom, United States and Switzerland. Robin Hayman's co-authors include Kathryn J. Jeffery, Caswell Barry, Neil Burgess, Aleksandar Jovalekic, Madeleine Verriotis, Michael Anderson, Subhojit Chakraborty, Colin Lever, John O’Keefe and Stephen Burton and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Robin Hayman

18 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Hayman United Kingdom 14 1.3k 909 194 180 148 19 1.5k
Angelo Arleo France 21 1.0k 0.8× 787 0.9× 165 0.9× 133 0.7× 121 0.8× 81 1.8k
Dori Derdikman Israel 21 1.7k 1.2× 1.3k 1.4× 79 0.4× 201 1.1× 152 1.0× 35 2.1k
Tony Fields United States 12 1.4k 1.0× 909 1.0× 211 1.1× 95 0.5× 50 0.3× 15 1.7k
Trygve Solstad Norway 8 2.3k 1.7× 1.8k 2.0× 109 0.6× 269 1.5× 187 1.3× 14 2.6k
Daniel Bush United Kingdom 21 1.4k 1.1× 778 0.9× 68 0.4× 110 0.6× 85 0.6× 48 1.7k
Benjamin J. Clark United States 26 1.4k 1.0× 807 0.9× 122 0.6× 340 1.9× 157 1.1× 61 1.9k
Thomas J. Wills United Kingdom 19 1.9k 1.4× 1.5k 1.6× 101 0.5× 184 1.0× 141 1.0× 24 2.2k
James G. Donnett United Kingdom 10 1.8k 1.3× 778 0.9× 470 2.4× 152 0.8× 96 0.6× 11 2.1k
Emilio Kropff Argentina 13 2.4k 1.8× 1.7k 1.9× 160 0.8× 263 1.5× 215 1.5× 25 3.0k
Eve A. Isham United States 9 1.2k 0.9× 447 0.5× 254 1.3× 101 0.6× 40 0.3× 22 1.4k

Countries citing papers authored by Robin Hayman

Since Specialization
Citations

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

Fields of papers citing papers by Robin Hayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Hayman

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

All Works

19 of 19 papers shown
1.
Casali, Giulio, et al.. (2019). Entorhinal Neurons Exhibit Cue Locking in Rodent VR. Frontiers in Cellular Neuroscience. 12. 512–512. 12 indexed citations
2.
Hayman, Robin & Neil Burgess. (2016). Disrupting the Grid Cells’ Need for Speed. Neuron. 91(3). 502–503.
3.
Jeffery, Kathryn J., Jonathan J. Wilson, Giulio Casali, & Robin Hayman. (2015). Neural encoding of large-scale three-dimensional space—properties and constraints. Frontiers in Psychology. 6. 927–927. 48 indexed citations
4.
Hayman, Robin, Giulio Casali, Jonathan J. Wilson, & Kathryn J. Jeffery. (2015). Grid cells on steeply sloping terrain: evidence for planar rather than volumetric encoding. Frontiers in Psychology. 6. 925–925. 30 indexed citations
5.
Knight, Rebecca & Robin Hayman. (2014). Allocentric directional processing in the rodent and human retrosplenial cortex. Frontiers in Human Neuroscience. 8. 135–135. 13 indexed citations
6.
Jeffery, Kathryn J., Aleksandar Jovalekic, Madeleine Verriotis, & Robin Hayman. (2013). Navigating in a three-dimensional world. Behavioral and Brain Sciences. 36(5). 523–543. 88 indexed citations
7.
Spiers, Hugo J., et al.. (2013). Place Field Repetition and Purely Local Remapping in a Multicompartment Environment. Cerebral Cortex. 25(1). 10–25. 96 indexed citations
8.
Yoon, Kijung, Michael A. Buice, Caswell Barry, et al.. (2013). Specific evidence of low-dimensional continuous attractor dynamics in grid cells. Nature Neuroscience. 16(8). 1077–1084. 180 indexed citations
9.
Jeffery, Kathryn J., Aleksandar Jovalekic, Madeleine Verriotis, & Robin Hayman. (2013). A framework for three-dimensional navigation research. Behavioral and Brain Sciences. 36(5). 571–587. 3 indexed citations
10.
Hayman, Robin, Madeleine Verriotis, Aleksandar Jovalekic, André A. Fenton, & Kathryn J. Jeffery. (2011). Anisotropic encoding of three-dimensional space by place cells and grid cells. Nature Neuroscience. 14(9). 1182–1188. 105 indexed citations
11.
Knight, Rebecca, et al.. (2011). Geometric Cues Influence Head Direction Cells Only Weakly in Nondisoriented Rats. Journal of Neuroscience. 31(44). 15681–15692. 33 indexed citations
12.
Jovalekic, Aleksandar, Robin Hayman, Natalia Bécares, et al.. (2011). Horizontal biases in rats’ use of three-dimensional space. Behavioural Brain Research. 222(2). 279–288. 43 indexed citations
13.
Hayman, Robin & Kathryn J. Jeffery. (2008). How heterogeneous place cell responding arises from homogeneous grids—A contextual gating hypothesis. Hippocampus. 18(12). 1301–1313. 54 indexed citations
14.
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
15.
Hayman, Robin, et al.. (2007). The fuzzy-boundary arena—A method for constraining an animal's range in spatial experiments without using walls. Journal of Neuroscience Methods. 167(2). 184–190. 4 indexed citations
16.
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
17.
Jeffery, Kathryn J. & Robin Hayman. (2004). Plasticity of the Hippocampal Place Cell Representation. Reviews in the Neurosciences. 15(5). 309–31. 28 indexed citations
18.
Jeffery, Kathryn J., Michael Anderson, Robin Hayman, & Subhojit Chakraborty. (2004). A proposed architecture for the neural representation of spatial context. Neuroscience & Biobehavioral Reviews. 28(2). 201–218. 78 indexed citations
19.
Hayman, Robin, Subhojit Chakraborty, Michael Anderson, & Kathryn J. Jeffery. (2003). Context‐specific acquisition of location discrimination by hippocampal place cells. European Journal of Neuroscience. 18(10). 2825–2834. 65 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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