Saeed Afshar
Impact in
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
- Acoustics and Ultrasonics top 10%
Papers in
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- Advanced Memory and Neural Computing 21
- CCD and CMOS Imaging Sensors 8
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- Neural dynamics and brain function 17
- Hearing Loss and Rehabilitation 4
- Co-authors
- André van Schaik (28 shared papers)Jonathan Tapson (10 shared papers)Gregory Cohen (14 shared papers)Tara Julia Hamilton (15 shared papers)Mark Rutten (2 shared papers)Travis Bessell (2 shared papers)Chetan Singh Thakur (5 shared papers)Ying Xu (7 shared papers)
- Journals
- Frontiers in Neuroscience (8 papers)IEEE Access (3 papers)Astrodynamics (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Applied Sciences (1 paper)
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
Saeed Afshar
32 papers receiving 1.2k citations
Saeed Afshar's Hit Papers
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 751
- Acoustics and Ultrasonics 14
- Computer Vision and Pattern Recognition 270
- Computer Science Applications 66
- Cognitive Neuroscience 218
Countries citing papers authored by Saeed Afshar
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
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-authors
The 25 scholars most cited alongside Saeed Afshar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | EMNIST: Extending MNIST to handwritten letters Hit paper breakdown → | 2017 | 889 |
| 2 | 2019 | 59 | |
| 3 | 2014 | 56 | |
| 4 | 2013 | 53 | |
| 5 | 2018 | 25 | |
| 6 | 2016 | 23 | |
| 7 | 2019 | 20 | |
| 8 | 2014 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2015 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 11 | |
| 13 | Event-based Sensing for Space Situational Awareness | 2017 | 11 |
| 14 | 2021 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2012 | 6 | |
| 20 | 2023 | 5 |
About Saeed Afshar
Saeed Afshar is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience and Signal Processing, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), Neural dynamics and brain function (17 papers), CCD and CMOS Imaging Sensors (8 papers), Speech and Audio Processing (6 papers), Neural Networks and Reservoir Computing (5 papers), Hearing Loss and Rehabilitation (4 papers), Neural Networks and Applications (4 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Artificial Intelligence (751 citations), Acoustics and Ultrasonics (14 citations), Computer Vision and Pattern Recognition (270 citations), Computer Science Applications (66 citations) and Cognitive Neuroscience (218 citations). Saeed Afshar has collaborated with scholars based in Australia, United States and India. Frequent co-authors include André van Schaik, Jonathan Tapson, Gregory Cohen, Tara Julia Hamilton, Mark Rutten, Travis Bessell, Chetan Singh Thakur, Ying Xu, Yossi Buskila and Klaus M. Stiefel. Their work appears in journals such as Frontiers in Neuroscience, IEEE Access, Astrodynamics, IEEE Transactions on Neural Networks and Learning Systems and Applied Sciences.
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.