Andrew D. Back
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 1%
- Blind Source Separation Techniques
- Biometric Identification and Security
Papers in
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- Neural Networks and Applications 37
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- Blind Source Separation Techniques 22
- Co-authors
- Ah Chung Tsoi (27 shared papers)C. Lee Giles (7 shared papers)Sandra Lawrence (4 shared papers)Steve Lawrence (5 shared papers)Thomas Trappenberg (3 shared papers)Nicolangelo Iannella (2 shared papers)Tianping Chen (2 shared papers)Andreas S. Weigend (3 shared papers)
- Journals
- Neural Computation (5 papers)Neural Networks (2 papers)Neurocomputing (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)
- Partner nations
- AustraliaJapanUnited States
In The Last Decade
Andrew D. Back
48 papers receiving 3.4k citations
Andrew D. Back's Hit Papers
Peers
Comparison fields: 5 of 183
- Computer Vision and Pattern Recognition 1.3k
- Signal Processing 645
- Artificial Intelligence 1.5k
- Media Technology 228
- Control and Systems Engineering 451
Countries citing papers authored by Andrew D. Back
This map shows the geographic impact of Andrew D. Back'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 Andrew D. Back with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew D. Back more than expected).
Fields of papers citing papers by Andrew D. Back
This network shows the impact of papers produced by Andrew D. Back. 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 Andrew D. Back. The network helps show where Andrew D. Back may publish in the future.
Co-authors
The 21 scholars most cited alongside Andrew D. Back, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Face recognition: a convolutional neural-network approach Hit paper breakdown → | 1997 | 2377 |
| 2 | 1994 | 231 | |
| 3 | 1991 | 167 | |
| 4 | 2004 | 99 | |
| 5 | 1997 | 92 | |
| 6 | 1998 | 78 | |
| 7 | Function Approximation with Neural Networks and Local Methods: Bias, Variance and Smoothness | 1996 | 57 |
| 8 | 2012 | 53 | |
| 9 | 2001 | 47 | |
| 10 | 1993 | 37 | |
| 11 | Face Recognition: A Hybrid Neural Network Approach | 1998 | 37 |
| 12 | 2001 | 36 | |
| 13 | 2006 | 34 | |
| 14 | 1997 | 31 | |
| 15 | 2002 | 28 | |
| 16 | 2002 | 24 | |
| 17 | 2020 | 22 | |
| 18 | 2002 | 22 | |
| 19 | 1998 | 19 | |
| 20 | 2003 | 18 |
About Andrew D. Back
Andrew D. Back is a scholar working on Artificial Intelligence, Signal Processing, Control and Systems Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (37 papers), Blind Source Separation Techniques (22 papers), Control Systems and Identification (9 papers), Spectroscopy and Chemometric Analyses (5 papers), Neural dynamics and brain function (5 papers), Fault Detection and Control Systems (5 papers), Face and Expression Recognition (4 papers) and Advanced Adaptive Filtering Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Signal Processing (645 citations), Artificial Intelligence (1.5k citations), Media Technology (228 citations) and Control and Systems Engineering (451 citations). Andrew D. Back has collaborated with scholars based in Australia, Japan and United States. Frequent co-authors include Ah Chung Tsoi, C. Lee Giles, Sandra Lawrence, Steve Lawrence, Thomas Trappenberg, Nicolangelo Iannella, Tianping Chen, Andreas S. Weigend, Jie Ouyang and Janet Wiles. Their work appears in journals such as Neural Computation, Neural Networks, Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and IEEE Journal of Selected Topics in Signal Processing.
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.