Saeed Afshar

2.7k total citations · 1 hit paper
39 papers, 1.3k citations indexed

About

Saeed Afshar is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Saeed Afshar has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 20 papers in Cognitive Neuroscience and 14 papers in Artificial Intelligence. Recurrent topics in Saeed Afshar's work include Advanced Memory and Neural Computing (21 papers), Neural dynamics and brain function (17 papers) and CCD and CMOS Imaging Sensors (8 papers). Saeed Afshar is often cited by papers focused on Advanced Memory and Neural Computing (21 papers), Neural dynamics and brain function (17 papers) and CCD and CMOS Imaging Sensors (8 papers). Saeed Afshar collaborates with scholars based in Australia, United States and India. Saeed Afshar's co-authors include André van Schaik, Jonathan Tapson, Gregory Cohen, Tara Julia Hamilton, Mark Rutten, Travis Bessell, Chetan Singh Thakur, Ying Xu, Klaus M. Stiefel and Yossi Buskila and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and The Journal of the Acoustical Society of America.

In The Last Decade

Saeed Afshar

32 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EMNIST: Extending MNIST to handwritten letters

2017 889 citations Gregory Cohen, Saeed Afshar et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saeed Afshar Australia	12	751	419	270	218	96	39	1.3k
Gregory Cohen Australia	14	923 1.2×	899 2.1×	351 1.3×	498 2.3×	109 1.1×	39	1.9k
Phil Blunsom United Kingdom	14	966 1.3×	345 0.8×	235 0.9×	89 0.4×	83 0.9×	29	1.4k
Mohammed Ismail United States	10	574 0.8×	1.1k 2.6×	129 0.5×	267 1.2×	151 1.6×	47	1.6k
Yufei Ding United States	23	1.1k 1.5×	832 2.0×	361 1.3×	213 1.0×	268 2.8×	106	2.0k
Zhaofei Yu China	23	511 0.7×	1.1k 2.7×	268 1.0×	689 3.2×	342 3.6×	98	1.9k
Malcolm Reynolds United Kingdom	5	491 0.7×	155 0.4×	223 0.8×	87 0.4×	39 0.4×	5	809
Amin Karbasi United States	17	513 0.7×	139 0.3×	104 0.4×	221 1.0×	330 3.4×	80	1.1k
J.F. Tasič Slovenia	15	165 0.2×	187 0.4×	275 1.0×	98 0.4×	100 1.0×	97	1.1k
Sergio Gómez Colmenarejo United States	5	494 0.7×	158 0.4×	189 0.7×	87 0.4×	46 0.5×	8	764
Yori Zwólš United States	9	446 0.6×	206 0.5×	160 0.6×	85 0.4×	90 0.9×	15	816

Countries citing papers authored by Saeed Afshar

Since Specialization

Citations

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

Fields of papers citing papers by Saeed Afshar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Afshar

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

All Works

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20 of 20 papers shown

Afshar, Saeed, et al.. (2025). Seeing like a Cephalopod: Colour Vision with a Monochrome Event Camera. 4984–4993.

Mehrabi, Ali, et al.. (2024). Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA. IEEE Access. 12. 170980–170993.

Mehrabi, Ali, et al.. (2024). Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN). 1–8. 1 indexed citations

Afshar, Saeed, et al.. (2024). Electrical Signaling Beyond Neurons. Neural Computation. 36(10). 1939–2029. 3 indexed citations

Xu, Ying, et al.. (2023). Event-driven spectrotemporal feature extraction and classification using a silicon cochlea model. Frontiers in Neuroscience. 17. 1125210–1125210. 5 indexed citations

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

Baker, Elise, Weicong Li, Caroline Jones, et al.. (2022). Harnessing automatic speech recognition to realise Sustainable Development Goals 3, 9, and 17 through interdisciplinary partnerships for children with communication disability. International Journal of Speech-Language Pathology. 25(1). 125–129. 4 indexed citations

Xu, Ying, et al.. (2022). An Optimized Deep Spiking Neural Network Architecture Without Gradients. IEEE Access. 10. 97912–97929. 12 indexed citations

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

10.

Milde, Moritz B., Saeed Afshar, Ying Xu, et al.. (2022). Neuromorphic Engineering Needs Closed-Loop Benchmarks. Frontiers in Neuroscience. 16. 813555–813555. 3 indexed citations

11.

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

12.

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

13.

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

14.

Cohen, Gregory, Saeed Afshar, & André van Schaik. (2018). Approaches for Astrometry using Event-Based Sensors. 38. 2 indexed citations

15.

Thakur, Chetan Singh, et al.. (2016). Bayesian Estimation and Inference Using Stochastic Electronics. Frontiers in Neuroscience. 10. 104–104. 23 indexed citations

16.

Thakur, Chetan Singh, Saeed Afshar, Tara Julia Hamilton, et al.. (2015). Sound stream segregation: a neuromorphic approach to solve the “cocktail party problem” in real-time. Frontiers in Neuroscience. 9. 309–309. 13 indexed citations

17.

Barakati, S. Masoud, et al.. (2015). Optimal Determination of Generation and FACTS Devices Location/Size for Congestion Elimination. 12(1). 125–138.

18.

Hamilton, Tara Julia, Saeed Afshar, André van Schaik, & Jonathan Tapson. (2014). Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits. Proceedings of the IEEE. 102(5). 843–859. 56 indexed citations

19.

Afshar, Saeed, et al.. (2013). The Ripple Pond: Enabling Spiking Networks to See. SHILAP Revista de lepidopterología. 6 indexed citations

20.

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

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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