Patrick J. Wolfe

3.1k citations
107 papers · 1.7k indexed · h-index 23

Impact in

Papers in

Patrick J. Wolfe

103 papers receiving 1.5k citations

Peers

Patrick J. Wolfe
Comparison fields: 5 of 129
  • Signal Processing 532
  • Computer Vision and Pattern Recognition 504
  • Statistical and Nonlinear Physics 303
  • Media Technology 213
  • Computational Mathematics 11
Replace Maya R. Gupta with:
Maya R. Gupta United States
Shinichi Nakajima Japan
Yue M. Lu United States
Olivier Delalleau Canada
Dino Sejdinović United Kingdom
Patrice Simard United States
Marco Cuturi France
Bharath K. Sriperumbudur United States
Yiming Ying United States
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Citations per field
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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 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008116
2 2003114
3 2012113
4 200978
5 200470
6 200267
7 201457
8 201853
9
Subgraph Detection Using Eigenvector L1 Norms
201046
10 201040
11 199739
12 196233
13 201531
14 200730
15 201129
16 201528
17 201027
18 200626
19 200725
20 201024

About Patrick J. Wolfe

Patrick J. Wolfe is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mathematics, Statistical and Nonlinear Physics and Statistics and Probability, having authored 107 papers that have together received 1.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (33 papers), Image and Signal Denoising Methods (26 papers), Complex Network Analysis Techniques (16 papers), Music and Audio Processing (15 papers), Sparse and Compressive Sensing Techniques (14 papers), Blind Source Separation Techniques (11 papers), Advanced Adaptive Filtering Techniques (10 papers) and Opinion Dynamics and Social Influence (7 papers). The work is most often cited by research in Signal Processing (532 citations), Computer Vision and Pattern Recognition (504 citations), Statistical and Nonlinear Physics (303 citations), Media Technology (213 citations) and Computational Mathematics (11 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, Nadya Bliss, Benjamin A. Miller, 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, Journal of New Music Research, Biometrika, The Journal of the Acoustical Society of America and Proceedings of the National Academy of Sciences.

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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