Gregory Cohen

3.7k total citations · 2 hit papers
39 papers, 1.9k citations indexed

About

Gregory Cohen is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Gregory Cohen has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 14 papers in Cognitive Neuroscience and 9 papers in Artificial Intelligence. Recurrent topics in Gregory Cohen's work include Advanced Memory and Neural Computing (21 papers), CCD and CMOS Imaging Sensors (16 papers) and Neural dynamics and brain function (10 papers). Gregory Cohen is often cited by papers focused on Advanced Memory and Neural Computing (21 papers), CCD and CMOS Imaging Sensors (16 papers) and Neural dynamics and brain function (10 papers). Gregory Cohen collaborates with scholars based in Australia, United States and France. Gregory Cohen's co-authors include André van Schaik, Jonathan Tapson, Saeed Afshar, Garrick Orchard, Tara Julia Hamilton, Runchun Wang, Klaus M. Stiefel, Yossi Buskila, Mark Rutten and Ryad Benosman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Letters.

In The Last Decade

Gregory Cohen

36 papers receiving 1.9k citations

Hit Papers

EMNIST: Extending MNIST to handwritten letters 2015 2026 2018 2022 2017 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Cohen Australia 14 923 899 498 351 230 39 1.9k
Jonathan Tapson Australia 22 1.0k 1.1× 997 1.1× 678 1.4× 335 1.0× 376 1.6× 118 2.4k
Saeed Afshar Australia 12 751 0.8× 419 0.5× 218 0.4× 270 0.8× 80 0.3× 39 1.3k
Zhaofei Yu China 23 511 0.6× 1.1k 1.3× 689 1.4× 268 0.8× 191 0.8× 98 1.9k
Alejandro Linares-Barranco Spain 26 428 0.5× 1.7k 1.8× 669 1.3× 298 0.8× 845 3.7× 132 2.3k
Bertram E. Shi Hong Kong 25 726 0.8× 803 0.9× 818 1.6× 1.2k 3.4× 247 1.1× 193 2.8k
Mohammed Ismail United States 10 574 0.6× 1.1k 1.2× 267 0.5× 129 0.4× 288 1.3× 47 1.6k
Priyadarshini Panda United States 27 1.4k 1.5× 2.8k 3.1× 1.3k 2.6× 402 1.1× 685 3.0× 92 3.6k
Il Memming Park United States 23 475 0.5× 421 0.5× 658 1.3× 226 0.6× 272 1.2× 78 2.1k
Yufei Ding United States 23 1.1k 1.2× 832 0.9× 213 0.4× 361 1.0× 97 0.4× 106 2.0k
G. Jiménez Spain 20 177 0.2× 925 1.0× 440 0.9× 120 0.3× 483 2.1× 90 1.3k

Countries citing papers authored by Gregory Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Cohen. A scholar is included among the top collaborators of Gregory Cohen 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 Gregory Cohen. Gregory Cohen 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
2.
McHarg, M. G., et al.. (2024). Falcon Neuro space-based observations of lightning using event-based sensors. SHILAP Revista de lepidopterología. 5.
3.
Afshar, Saeed, et al.. (2023). Astrometric calibration and source characterisation of the latest generation neuromorphic event-based cameras for space imaging. Astrodynamics. 7(4). 415–443. 7 indexed citations
4.
Xu, Ying, et al.. (2022). An Optimized Deep Spiking Neural Network Architecture Without Gradients. IEEE Access. 10. 97912–97929. 12 indexed citations
5.
Afshar, Saeed, et al.. (2022). Real-Time Event-Based Unsupervised Feature Consolidation and Tracking for Space Situational Awareness. Frontiers in Neuroscience. 16. 821157–821157. 11 indexed citations
6.
Xu, Ying, Saeed Afshar, Runchun Wang, et al.. (2021). A Biologically Inspired Sound Localisation System Using a Silicon Cochlea Pair. Applied Sciences. 11(4). 1519–1519. 7 indexed citations
7.
Cohen, Gregory, et al.. (2019). Observations and Design of a new Neuromorphic Event-based All-Sky and Fixed Region Imaging System. amos. 71. 1 indexed citations
8.
Afshar, Saeed, Tara Julia Hamilton, Jonathan Tapson, André van Schaik, & Gregory Cohen. (2019). Investigation of Event-Based Surfaces for High-Speed Detection, Unsupervised Feature Extraction, and Object Recognition. Frontiers in Neuroscience. 12. 1047–1047. 20 indexed citations
9.
Kamínski, K., et al.. (2019). Observational evaluation of event cameras performance in optical space surveillance. Zurich Open Repository and Archive (University of Zurich). 8 indexed citations
10.
Cohen, Gregory, Saeed Afshar, Garrick Orchard, et al.. (2018). Spatial and Temporal Downsampling in Event-Based Visual Classification. IEEE Transactions on Neural Networks and Learning Systems. 29(10). 5030–5044. 25 indexed citations
11.
Cohen, Gregory, Saeed Afshar, & André van Schaik. (2018). Approaches for Astrometry using Event-Based Sensors. 38. 2 indexed citations
12.
Bellot-Saez, Alba, Gregory Cohen, André van Schaik, et al.. (2018). Astrocytic modulation of cortical oscillations. Scientific Reports. 8(1). 11565–11565. 43 indexed citations
13.
Cheung, Brian, Mark Rutten, Samuel J. Davey, & Gregory Cohen. (2018). Probabilistic Multi Hypothesis Tracker for an Event Based Sensor. 1–8. 14 indexed citations
14.
Cohen, Gregory, et al.. (2016). Skimming Digits: Neuromorphic Classification of Spike-Encoded Images. Frontiers in Neuroscience. 10. 184–184. 41 indexed citations
15.
Cohen, Gregory & Philip de Chazal. (2015). Automated detection of sleep apnea in infants: A multi-modal approach. Computers in Biology and Medicine. 63. 118–123. 15 indexed citations
16.
Orchard, Garrick, et al.. (2015). Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades. SHILAP Revista de lepidopterología. 490 indexed citations breakdown →
17.
Cohen, Gregory & Philip de Chazal. (2014). A multi-modal approach to sleep-wake classification in infants using minimally invasive sensors. Computing in Cardiology Conference. 149–152. 1 indexed citations
18.
Wang, Runchun, Gregory Cohen, Klaus M. Stiefel, et al.. (2013). An FPGA Implementation of a Polychronous Spiking Neural Network with Delay Adaptation. Frontiers in Neuroscience. 7. 14–14. 56 indexed citations
19.
Tapson, Jonathan, Gregory Cohen, Saeed Afshar, et al.. (2013). Synthesis of neural networks for spatio-temporal spike pattern recognition and processing. Frontiers in Neuroscience. 7. 153–153. 53 indexed citations
20.
Lépine, Thierry, et al.. (2011). Shack–Hartmann multiple spots with diffractive lenses. Optics Letters. 36(8). 1422–1422. 10 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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