Mark D. Plumbley

13.6k citations
286 papers · 7.2k · 5 hit papers · h-index 44

Impact in

Papers in

Mark D. Plumbley

268 papers receiving 6.8k citations

Mark D. Plumbley's Hit Papers

AudioLDM 2: Learning Holistic Audio Generation With Self-Supervised Pretraining 2024 · 74 citations
740+4+8Years since publication200400600

Peers

Mark D. Plumbley
Comparison fields: 5 of 169
  • Signal Processing 5.0k
  • Developmental Biology 542
  • Computer Vision and Pattern Recognition 2.6k
  • Artificial Intelligence 1.7k
  • Music 155
Replace Wenwu Wang with:
Wenwu Wang United Kingdom
Biing‐Hwang Juang United States
Lawrence R. Rabiner United States
Meinard Müller Germany
Patrick Nguyen United States
Simon King United Kingdom
Chin‐Hui Lee United States
Alex Acero United States
Petros Maragos Greece
Douglas L. Jones United States
Mark D. Plumbley relative to Wenwu Wang United Kingdom Wenwu Wang's profile →
Citations per field
00.5×4.0×
Wenwu Wang · 1×
Citations per year

Countries citing papers authored by Mark D. Plumbley

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Mark D. Plumbley Line = papers co-authored together Mark D. Plumbley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 286 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
Hit paper breakdown →
2020688
2
Best Practices for Scientific Computing
Hit paper breakdown →
2014400
3
Detection and Classification of Acoustic Scenes and Events
Hit paper breakdown →
2015399
4 2015259
5 2017201
6 2014195
7 2017166
8 2021151
9 2003145
10 2015136
11 2011127
12 2018126
13 2009125
14 2007121
15 2008112
16 201191
17 202091
18
Polyphonic music transcription by non-negative sparse coding of power spectra
200488
19 200275
20 200474

About Mark D. Plumbley

Mark D. Plumbley is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics and Cognitive Neuroscience, having authored 286 papers that have together received 7.2k indexed citations. Recurring topics across this work include Music and Audio Processing (183 papers), Speech and Audio Processing (166 papers), Music Technology and Sound Studies (81 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 (5.0k citations), Developmental Biology (542 citations), Computer Vision and Pattern Recognition (2.6k citations), Artificial Intelligence (1.7k citations) and Music (155 citations). Mark D. Plumbley has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Wenwu Wang, Dan Stowell, Qiuqiang Kong, Dimitrios Giannoulis, Turab Iqbal, Matthew E. P. Davies, Yin Cao, Tuomas Virtanen, Daniele Barchiesi and Yuxuan Wang. 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 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.

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