Andrew Abel
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
-
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
Papers in
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- Speech and Audio Processing 12
- Music and Audio Processing 7
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- Advanced Steganography and Watermarking Techniques 3
- Face recognition and analysis 3
- Digital Media Forensic Detection 3
- Co-authors
- Amir Hussain (8 shared papers)Bin Luo (5 shared papers)Zhaoxia Yin (2 shared papers)Xinpeng Zhang (2 shared papers)Yixiang Chen (1 shared paper)Zhiyuan Tang (1 shared paper)Lantian Li (1 shared paper)Jin Tang (1 shared paper)
- Journals
- Cognitive Computation (4 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Multimedia Tools and Applications (1 paper)Pattern Recognition (1 paper)Applied Intelligence (1 paper)
- Partner nations
- ChinaUnited KingdomMalaysia
In The Last Decade
Andrew Abel
27 papers receiving 354 citations
Peers
Comparison fields: 5 of 71
- Signal Processing 111
- Computer Vision and Pattern Recognition 157
- Human-Computer Interaction 26
- Artificial Intelligence 134
- Cognitive Neuroscience 47
Countries citing papers authored by Andrew Abel
This map shows the geographic impact of Andrew Abel'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 Abel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Abel more than expected).
Fields of papers citing papers by Andrew Abel
This network shows the impact of papers produced by Andrew Abel. 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 Abel. The network helps show where Andrew Abel may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Abel, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 43 | |
| 2 | 2017 | 40 | |
| 3 | 2016 | 40 | |
| 4 | 2017 | 33 | |
| 5 | 2015 | 24 | |
| 6 | 2018 | 23 | |
| 7 | 2019 | 20 | |
| 8 | 2016 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2015 | 15 | |
| 11 | 2016 | 15 | |
| 12 | 2013 | 14 | |
| 13 | 2015 | 8 | |
| 14 | 2015 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2014 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2023 | 4 |
About Andrew Abel
Andrew Abel is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Information Systems, having authored 28 papers that have together received 368 indexed citations. Recurring topics across this work include Speech and Audio Processing (12 papers), Music and Audio Processing (7 papers), Hearing Loss and Rehabilitation (5 papers), Speech Recognition and Synthesis (5 papers), Natural Language Processing Techniques (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Face recognition and analysis (3 papers) and Digital Media Forensic Detection (3 papers). The work is most often cited by research in Signal Processing (111 citations), Computer Vision and Pattern Recognition (157 citations), Human-Computer Interaction (26 citations), Artificial Intelligence (134 citations) and Cognitive Neuroscience (47 citations). Andrew Abel has collaborated with scholars based in China, United Kingdom and Malaysia. Frequent co-authors include Amir Hussain, Bin Luo, Zhaoxia Yin, Xinpeng Zhang, Yixiang Chen, Zhiyuan Tang, Lantian Li, Jin Tang, Dong Wang and Shiyue Zhang. Their work appears in journals such as Cognitive Computation, IEEE/ACM Transactions on Audio Speech and Language Processing, Multimedia Tools and Applications, Pattern Recognition and Applied Intelligence.
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.