Mark D. Plumbley
Impact in
- Signal Processing top 0.05%
- Music and Audio Processing
- Speech and Audio Processing
- Blind Source Separation Techniques
- Developmental Biology top 0.5%
- Animal Vocal Communication and Behavior
Papers in
-
- Music and Audio Processing 182
- Speech and Audio Processing 165
- Blind Source Separation Techniques 63
-
- Music Technology and Sound Studies 80
- Co-authors
- Dan StowellWenwu WangQiuqiang KongDimitrios GiannoulisMatthew E. P. DaviesTurab IqbalYin CaoTuomas Virtanen
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (15 papers)Journal of the Audio Engineering Society (11 papers)IEEE Transactions on Audio Speech and Language Processing (5 papers)IEEE Transactions on Signal Processing (5 papers)IEEE Signal Processing Magazine (4 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Mark D. Plumbley
266 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Signal Processing 4.9k
- Developmental Biology 535
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 1.6k
- Music 151
Countries citing papers authored by Mark D. Plumbley
This map shows the geographic impact of Mark D. Plumbley'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 Mark D. Plumbley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Plumbley more than expected).
Fields of papers citing papers by Mark D. Plumbley
This network shows the impact of papers produced by Mark D. Plumbley. 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 Mark D. Plumbley. The network helps show where Mark D. Plumbley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark D. Plumbley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2018 | 55 | |
| 7 | Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings | 2018 | 1 |
| 8 | DCASE 2018 Challenge baseline with convolutional neural networks. | 2018 | 11 |
| 9 | Use of audio editors in radio production | 2015 | 3 |
| 10 | 2011 | 16 | |
| 11 | Real-time Visual Beat Tracking using a Comb Filter Matrix. | 2011 | 5 |
| 12 | The Serendiptichord: A Wearable Instrument for Contemporary Dance Performance | 2010 | 2 |
| 13 | Rhythmic analysis for real-time audio effects | 2008 | 3 |
| 14 | Polar Polytopes and Recovery of Sparse Representations | 2005 | 1 |
| 15 | BEAT TRACKING WITH A TWO STATE MODEL | 2005 | 34 |
| 16 | Lie group methods for optimization with orthogonality constraints | 2004 | 1 |
| 17 | Polyphonic music transcription by non-negative sparse coding of power spectra | 2004 | 88 |
| 18 | Real Time Object Based Coding | 2003 | 7 |
| 19 | LYAPUNOV FUNCTIONS FOR CONVERGENCE OF PRINCIPAL COMPONENT ALGORITHMS | 1995 | 1 |
| 20 | A HEBBIAN ANTI-HEBBIAN NETWORK WHICH OPTIMIZES INFORMATION CAPACITY BY ORTHONORMALIZING THE PRINCIPAL SUBSPACE | 1993 | 15 |
About Mark D. Plumbley
Mark D. Plumbley is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Developmental Biology, Computational Mechanics and Artificial Intelligence, having authored 284 papers that have together received 7.0k indexed citations. Recurring topics across this work include Music and Audio Processing (182 papers), Speech and Audio Processing (165 papers), Music Technology and Sound Studies (80 papers), Blind Source Separation Techniques (63 papers), Speech Recognition and Synthesis (34 papers), Sparse and Compressive Sensing Techniques (28 papers), Advanced Adaptive Filtering Techniques (23 papers) and Neural Networks and Applications (23 papers). The work is most often cited by research in Signal Processing (4.9k citations), Developmental Biology (535 citations), Computer Vision and Pattern Recognition (2.5k citations), Artificial Intelligence (1.6k citations) and Music (151 citations). Mark D. Plumbley has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Dan Stowell, Wenwu Wang, Qiuqiang Kong, Dimitrios Giannoulis, Matthew E. P. Davies, Turab Iqbal, Yin Cao, Tuomas Virtanen, Daniele Barchiesi and Emmanouil Benetos. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Journal of the Audio Engineering Society, IEEE Transactions on Audio Speech and Language Processing, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.
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.