Patrick J. Wolfe

3.1k citations
115 papers · 1.9k · h-index 24

Impact in

Papers in

Patrick J. Wolfe

111 papers receiving 1.7k citations

Peers

Patrick J. Wolfe
Comparison fields: 5 of 135
  • Signal Processing 595
  • Statistical and Nonlinear Physics 322
  • Computer Vision and Pattern Recognition 548
  • Media Technology 221
  • Computational Mathematics 12
Replace Maya R. Gupta with:
Maya R. Gupta United States
Olivier Delalleau Canada
Shinichi Nakajima Japan
Dino Sejdinović United Kingdom
Patrice Simard United States
Alexander Ilin Finland
Terry Lyons United Kingdom
Marco Cuturi France
Bharath K. Sriperumbudur United States
Sujay Sanghavi United States
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Citations per field
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Maya R. Gupta · 1×
Citations per year

Countries citing papers authored by Patrick J. Wolfe

Since Specialization
Citations

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

Fields of papers citing papers by Patrick J. Wolfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick J. Wolfe. 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 Patrick J. Wolfe. The network helps show where Patrick J. Wolfe may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003126
2 2008119
3 2012118
4 200992
5 201877
6 200477
7 200270
8 199770
9 201461
10
Subgraph Detection Using Eigenvector L1 Norms
201047
11 196245
12 201043
13 201534
14 200731
15 201130
16 201028
17 201528
18 200727
19 200627
20 201027

About Patrick J. Wolfe

Patrick J. Wolfe is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 115 papers that have together received 1.9k indexed citations. Recurring topics across this work include Speech and Audio Processing (34 papers), Image and Signal Denoising Methods (27 papers), Complex Network Analysis Techniques (17 papers), Music and Audio Processing (15 papers), Sparse and Compressive Sensing Techniques (14 papers), Blind Source Separation Techniques (12 papers), Advanced Adaptive Filtering Techniques (10 papers) and Speech Recognition and Synthesis (7 papers). The work is most often cited by research in Signal Processing (595 citations), Statistical and Nonlinear Physics (322 citations), Computer Vision and Pattern Recognition (548 citations), Media Technology (221 citations) and Computational Mathematics (12 citations). Patrick J. Wolfe has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Simon Godsill, Keigo Hirakawa, Sofia C. Olhede, Mohamed-Ali Belabbas, Benjamin A. Miller, Nadya Bliss, Edoardo M. Airoldi, D-S Choi, D. R. Fulkerson and David Choi. Their work appears in journals such as Journal of the Audio Engineering Society, The Journal of the Acoustical Society of America, IEEE Transactions on Audio Speech and Language Processing, Journal of New Music Research and IEEE Transactions on Information Theory.

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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