Jonathan C. Tapson

4.5k citations

126 papers · 2.9k · 1 hit paper · h-index 23

Impact in

Cognitive Neuroscience top 2%
- Neural dynamics and brain function
Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
- Machine Learning and ELM

Papers in

Cognitive Neuroscience 55
- Neural dynamics and brain function 33
- Hearing Loss and Rehabilitation 11
Cellular and Molecular Neuroscience 32
- Neuroscience and Neural Engineering 28

Co-authors: André van Schaik (73 shared papers)Saeed Afshar (12 shared papers)Gregory Cohen (13 shared papers)Tara Julia Hamilton (38 shared papers)Runchun Wang (18 shared papers)Craig T Jin (14 shared papers)Chetan Singh Thakur (14 shared papers)Yossi Buskila (6 shared papers)
Journals: Frontiers in Neuroscience (11 papers)The Journal of the Acoustical Society of America (4 papers)IEEE Transactions on Biomedical Circuits and Systems (4 papers)Neural Computation (3 papers)Measurement Science and Technology (3 papers)
Partner nations: Australia South Africa United States

In The Last Decade

Jonathan C. Tapson

123 papers receiving 2.8k citations

Jonathan C. Tapson's Hit Papers

align trajectories log scale

EMNIST: Extending MNIST to handwritten letters 2017 · 1.1k citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2017 EMNIST: Extending MNIST to handwritten letters

Peers

Countries citing papers authored by Jonathan C. Tapson

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan C. Tapson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Tapson. 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 Jonathan C. Tapson. The network helps show where Jonathan C. Tapson may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan C. Tapson, 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 Jonathan C. Tapson Line = papers co-authored together Jonathan C. Tapson links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	EMNIST: Extending MNIST to handwritten letters Gregory Cohen, Saeed Afshar, Jonathan C. Tapson, André van Schaik Hit paper breakdown →	2017	1118
2	Learning the pseudoinverse solution to network weights Neural Networks ·Jonathan C. Tapson, André van Schaik	2013	81
3	Extending the viability of acute brain slices Scientific Reports ·Yossi Buskila, Paul P. Breen, Jonathan C. Tapson, André van Schaik, Matthew Barton, John W. Morley	2014	74
4	An Active 2-D Silicon Cochlea IEEE Transactions on Biomedical Circuits and Systems ·Tara Julia Hamilton, Craig T Jin, André van Schaik, Jonathan C. Tapson	2008	71
5	An FPGA Implementation of a Polychronous Spiking Neural Network with Delay Adaptation Frontiers in Neuroscience ·Runchun Wang, Gregory Cohen, Klaus Maximilian Stiefel, Tara Julia Hamilton, Jonathan C. Tapson, André van Schaik	2013	64
6	Synthesis of neural networks for spatio-temporal spike pattern recognition and processing Frontiers in Neuroscience ·Jonathan C. Tapson, Gregory Cohen, Saeed Afshar, Klaus Maximilian Stiefel, Yossi Buskila, Runchun Mark Wang, Tara Julia Hamilton, André van Schaik	2013	60
7	Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits Proceedings of the IEEE ·Tara Julia Hamilton, Saeed Afshar, André van Schaik, Jonathan C. Tapson	2014	59
8	Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the ‘Extreme Learning Machine’ Algorithm PLoS ONE ·Mark D. McDonnell, Migel D. Tissera, Tony Vladusich, André van Schaik, Jonathan C. Tapson	2015	58
9	A Review of Control Strategies in Closed-Loop Neuroprosthetic Systems Frontiers in Neuroscience ·James C. Wright, Vaughan Gary Macefield, André van Schaik, Jonathan C. Tapson	2016	53
10	Skimming Digits: Neuromorphic Classification of Spike-Encoded Images Frontiers in Neuroscience ·Gregory Cohen, Garrick Orchard, Sio-Hoi Leng, Jonathan C. Tapson, Ryad Benjamin Benosman, André van Schaik	2016	45
11	Calcium Imaging of AM Dyes Following Prolonged Incubation in Acute Neuronal Tissue PLoS ONE ·Morven A. Cameron, Orsolya Kékesi, John W. Morley, Jonathan C. Tapson, Paul P. Breen, André van Schaik, Yossi Buskila	2016	41
12	Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition IEEE Transactions on Biomedical Circuits and Systems ·Runchun Wang, Chetan Singh Thakur, Gregory Cohen, Tara Julia Hamilton, Jonathan C. Tapson, André van Schaik	2017	40
13	Optimization Methods for Spiking Neurons and Networks IEEE Transactions on Neural Networks ·Alexander C. Russell, Garrick Orchard, Yi Dong, Ştefan Mihalaş, Ernst Niebur, Jonathan C. Tapson, Ralph Etienne‐Cummings	2010	40
14	Online and adaptive pseudoinverse solutions for ELM weights Neurocomputing ·André van Schaik, Jonathan C. Tapson	2014	35
15	Spatial and Temporal Downsampling in Event-Based Visual Classification IEEE Transactions on Neural Networks and Learning Systems ·Gregory Cohen, Saeed Afshar, Garrick Orchard, Jonathan C. Tapson, Ryad Benjamin Benosman, André van Schaik	2018	32
16	An FPGA design framework for large-scale spiking neural networks Runchun Wang, Tara Julia Hamilton, Jonathan C. Tapson, André van Schaik	2014	31
17	Investigation of Event-Based Surfaces for High-Speed Detection, Unsupervised Feature Extraction, and Object Recognition Frontiers in Neuroscience ·Saeed Afshar, Tara Julia Hamilton, Jonathan C. Tapson, André van Schaik, Gregory Cohen	2019	28
18	A mixed-signal implementation of a polychronous spiking neural network with delay adaptation Frontiers in Neuroscience ·Runchun M. Wang, Tara Julia Hamilton, Jonathan C. Tapson, André van Schaik	2014	28
19	A neuromorphic implementation of multiple spike-timing synaptic plasticity rules for large-scale neural networks Frontiers in Neuroscience ·Runchun M. Wang, Tara Julia Hamilton, Jonathan C. Tapson +1 other	2015	28
20	Bayesian Estimation and Inference Using Stochastic Electronics Frontiers in Neuroscience ·Chetan Singh Thakur, Saeed Afshar, Runchun M. Wang, Tara Julia Hamilton, Jonathan C. Tapson, André van Schaik	2016	26

About Jonathan C. Tapson

Jonathan C. Tapson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence and Sensory Systems, having authored 126 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (48 papers), Neural dynamics and brain function (33 papers), Neuroscience and Neural Engineering (28 papers), Neural Networks and Applications (16 papers), Hearing Loss and Rehabilitation (11 papers), Electrical and Bioimpedance Tomography (11 papers), Neural Networks and Reservoir Computing (11 papers) and ECG Monitoring and Analysis (11 papers). The work is most often cited by research in Cognitive Neuroscience (789 citations), Artificial Intelligence (1.2k citations), Cellular and Molecular Neuroscience (423 citations), Electrical and Electronic Engineering (1.2k citations) and Computer Vision and Pattern Recognition (423 citations). Jonathan C. Tapson has collaborated with scholars based in Australia, South Africa and United States. Frequent co-authors include André van Schaik, Saeed Afshar, Gregory Cohen, Tara Julia Hamilton, Runchun Wang, Craig T Jin, Chetan Singh Thakur, Yossi Buskila, Alistair Lee McEwan and John W. Morley. Their work appears in journals such as Frontiers in Neuroscience, The Journal of the Acoustical Society of America, IEEE Transactions on Biomedical Circuits and Systems, Neural Computation and Measurement Science and Technology.

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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Jonathan C. Tapson

Jonathan C. Tapson's Hit Papers

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