Michael Spratling

4.1k citations
72 papers · 2.5k indexed · h-index 23

Michael Spratling

68 papers receiving 2.4k citations

Peers

Michael Spratling
Comparison fields: 5 of 127
  • Cognitive Neuroscience 1.7k
  • Developmental and Educational Psychology 333
  • Developmental Neuroscience 108
  • Experimental and Cognitive Psychology 237
  • Cellular and Molecular Neuroscience 311
Replace Jochen Triesch with:
Jochen Triesch Germany
Suzanna Becker Canada
Sean M. Polyn United States
Günther Palm Germany
Srikanth Ryali United States
József Fiser United States
Ariel Rokem United States
Kenneth Knoblauch France
Stephen A. Engel United States
Jochen Braun Germany
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Jochen Triesch · 1×
Citations per year

Countries citing papers authored by Michael Spratling

Since Specialization
Citations

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

Fields of papers citing papers by Michael Spratling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael Spratling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Spratling Line = papers co-authored together Michael Spratling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20234
4 201667
5 2016236
6 201643
7
Neuroconstructivism: How the brain constructs cognition
20143
8 201314
9 201257
10 201212
11 2010143
12 200912
13 200956
14 2008157
15 200879
16 200656
17 2006120
18 200525
19
A self-organising neural network for modelling cortical development.
19981
20
Learning sensory-motor cortical mappings without training.
19981

About Michael Spratling

Michael Spratling is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Neuropsychology and Physiological Psychology, Artificial Intelligence and Biophysics, having authored 72 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (34 papers), Visual perception and processing mechanisms (20 papers), Neural Networks and Applications (12 papers), Neuroscience and Neuropharmacology Research (6 papers), Functional Brain Connectivity Studies (6 papers), Advanced Neural Network Applications (5 papers), Visual Attention and Saliency Detection (4 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Developmental and Educational Psychology (333 citations), Developmental Neuroscience (108 citations), Experimental and Cognitive Psychology (237 citations) and Cellular and Molecular Neuroscience (311 citations). Michael Spratling has collaborated with scholars based in United Kingdom, United States and Luxembourg. Frequent co-authors include Mark H. Johnson, Gergely Csibra, Sylvain Sirois, Denis Mareschal, Michael S. C. Thomas, Gert Westermann, Greg Davis, Kris De Meyer, Sarah Grice and Michelle de Haan. Their work appears in journals such as Neural Computation, Behavioral and Brain Sciences, Pattern Recognition, Vision Research and Network Computation in Neural Systems.

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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