Angus Chadwick

645 total citations
10 papers, 346 citations indexed

About

Angus Chadwick is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Angus Chadwick has authored 10 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Angus Chadwick's work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Visual perception and processing mechanisms (4 papers). Angus Chadwick is often cited by papers focused on Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Visual perception and processing mechanisms (4 papers). Angus Chadwick collaborates with scholars based in United Kingdom, Switzerland and France. Angus Chadwick's co-authors include Robert W. Kentridge, Sonja B. Hofer, Maneesh Sahani, Thomas D. Mrsic‐Flogel, Jasper Poort, Antonin Blot, Adil G. Khan, Mark C. W. van Rossum, Matthew F. Nolan and Katharina A. Wilmes and has published in prestigious journals such as Neuron, Nature Neuroscience and Neuropsychologia.

In The Last Decade

Angus Chadwick

10 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angus Chadwick United Kingdom	7	260	158	36	34	29	10	346
Hisashi Tanigawa China	9	372 1.4×	151 1.0×	67 1.9×	27 0.8×	16 0.6×	26	422
Yin Yan China	9	371 1.4×	110 0.7×	31 0.9×	25 0.7×	10 0.3×	13	445
BA Wandell United States	6	491 1.9×	85 0.5×	40 1.1×	33 1.0×	38 1.3×	20	545
Akitoshi Hanazawaᎂᎂ Japan	9	338 1.3×	127 0.8×	78 2.2×	66 1.9×	42 1.4×	23	434
Benjamin M. Ramsden United States	7	377 1.4×	149 0.9×	26 0.7×	34 1.0×	50 1.7×	9	418
Lauri Nurminen Finland	8	580 2.2×	187 1.2×	65 1.8×	33 1.0×	21 0.7×	13	607
А. V. Kurgansky Russia	9	385 1.5×	136 0.9×	29 0.8×	31 0.9×	7 0.2×	37	455
Jason M. Samonds United States	13	523 2.0×	340 2.2×	72 2.0×	21 0.6×	19 0.7×	28	579

Countries citing papers authored by Angus Chadwick

Since Specialization

Citations

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

Fields of papers citing papers by Angus Chadwick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angus Chadwick

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

All Works

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10 of 10 papers shown

Chadwick, Angus, Adil G. Khan, Jasper Poort, et al.. (2022). Learning shapes cortical dynamics to enhance integration of relevant sensory input. Neuron. 111(1). 106–120.e10. 12 indexed citations

Poort, Jasper, Katharina A. Wilmes, Antonin Blot, et al.. (2021). Learning and attention increase visual response selectivity through distinct mechanisms. Neuron. 110(4). 686–697.e6. 34 indexed citations

Khan, Adil G., Jasper Poort, Angus Chadwick, et al.. (2018). Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex. Nature Neuroscience. 21(6). 851–859. 123 indexed citations

Chadwick, Angus, C.A. Heywood, Hannah E. Smithson, & Robert W. Kentridge. (2017). Translucence perception is not dependent on cortical areas critical for processing colour or texture. Neuropsychologia. 128. 209–214. 8 indexed citations

Chadwick, Angus, Mark C. W. van Rossum, & Matthew F. Nolan. (2016). Flexible theta sequence compression mediated via phase precessing interneurons. eLife. 5. 17 indexed citations

Chadwick, Angus, Mark C. W. van Rossum, & Matthew F. Nolan. (2015). Modelling phase precession in the hippocampus. BMC Neuroscience. 16(S1). 2 indexed citations

Chadwick, Angus, Mark C. W. van Rossum, & Matthew F. Nolan. (2015). Independent theta phase coding accounts for CA1 population sequences and enables flexible remapping. eLife. 4. 34 indexed citations

Chadwick, Angus & Robert W. Kentridge. (2014). The perception of gloss: A review. Vision Research. 109. 221–235. 110 indexed citations

Chadwick, Angus, et al.. (2013). Spontaneous pre-stimulus oscillations predict direction of ambiguous figure-ground assignment. Journal of Vision. 13(9). 1029–1029. 1 indexed citations

10.

Chadwick, Angus. (2007). Superresolution for high-frequency radar. IET Radar Sonar & Navigation. 1(6). 431–436. 5 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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