Scott Wisdom

1.3k citations
32 papers · 571 · h-index 14

Impact in

Papers in

Scott Wisdom

31 papers receiving 549 citations

Peers

Scott Wisdom
Comparison fields: 5 of 58
  • Signal Processing 301
  • Developmental Biology 33
  • Artificial Intelligence 202
  • Computer Vision and Pattern Recognition 86
  • Media Technology 34
Replace Marco Crocco with:
Marco Crocco Italy
Axel Plinge Germany
Patrick Danès France
Xinyuan Qian Singapore
Yuki Mitsufuji Japan
Antoine Deleforge France
Daniele Salvati Italy
Giambattista Parascandolo Finland
Scott Wisdom relative to Marco Crocco Italy Marco Crocco's profile →
Citations per field
00.5×3.1×
Marco Crocco · 1×
Citations per year

Countries citing papers authored by Scott Wisdom

Since Specialization
Citations

This map shows the geographic impact of Scott Wisdom'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 Scott Wisdom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Wisdom more than expected).

Fields of papers citing papers by Scott Wisdom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Wisdom. 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 Scott Wisdom. The network helps show where Scott Wisdom may publish in the future.

Co-authors

The 25 scholars most cited alongside Scott Wisdom, 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 Scott Wisdom Line = papers co-authored together Scott Wisdom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013160
2 202160
3 201652
4 202235
5 202132
6 201724
7 201621
8 202020
9 202219
10 202217
11 202217
12 202217
13 202015
14
Unsupervised Sound Separation Using Mixtures of Mixtures
202015
15 201511
16 20159
17
Unsupervised Sound Separation Using Mixture Invariant Training
20208
18 20246
19 20146
20 20146

About Scott Wisdom

Scott Wisdom is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 32 papers that have together received 571 indexed citations. Recurring topics across this work include Speech and Audio Processing (29 papers), Music and Audio Processing (22 papers), Speech Recognition and Synthesis (14 papers), Blind Source Separation Techniques (7 papers), Advanced Adaptive Filtering Techniques (6 papers), Acoustic Wave Phenomena Research (3 papers), Hearing Loss and Rehabilitation (2 papers) and RFID technology advancements (1 paper). The work is most often cited by research in Signal Processing (301 citations), Developmental Biology (33 citations), Artificial Intelligence (202 citations), Computer Vision and Pattern Recognition (86 citations) and Media Technology (34 citations). Scott Wisdom has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John R. Hershey, Joshua R. Smith, Benjamin H. Waters, Alanson P. Sample, Les Atlas, Hakan Erdoğan, Jonathan Le Roux, Thomas A. Powers, Shinji Watanabe and J.W. Pitton. Their work appears in journals such as Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing, Proceedings of the IEEE, Lecture notes in computer science and 2014 48th Asilomar Conference on Signals, Systems and Computers.

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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