David Wipf

8.5k citations
90 papers · 5.6k · 2 hit papers · h-index 30

Impact in

    • Blind Source Separation Techniques
    • Direction-of-Arrival Estimation Techniques
    • Speech and Audio Processing
    • Sparse and Compressive Sensing Techniques

Papers in

David Wipf

87 papers receiving 5.4k citations

David Wipf's Hit Papers

An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem 2007 · 693 citations
6930+7+14Years since publication2505007501000

Peers

David Wipf
Comparison fields: 5 of 140
  • Signal Processing 1.9k
  • Computational Mechanics 1.9k
  • Computer Vision and Pattern Recognition 1.8k
  • Computer Graphics and Computer-Aided Design 196
  • Media Technology 441
Replace Kenneth E. Barner with:
Kenneth E. Barner United States
Yu Hen Hu United States
S. C. Chan Hong Kong
Rémi Gribonval France
Francis Bach France
Kenneth Kreutz-Delgado United States
M.N.S. Swamy Canada
Dimitrios Hatzinakos Canada
Radu Horaud France
Müjdat Çetin Türkiye
David Wipf relative to Kenneth E. Barner United States Kenneth E. Barner's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Wipf

Since Specialization
Citations

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

Fields of papers citing papers by David Wipf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sparse Bayesian Learning for Basis Selection
Hit paper breakdown →
20041179
2
An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem
Hit paper breakdown →
2007693
3 2010367
4 2008266
5 2011227
6 2007223
7 2017219
8
A New View of Automatic Relevance Determination
2007217
9 2009171
10 2013160
11 2013123
12 2015122
13
Variational EM Algorithms for Non-Gaussian Latent Variable Models
2005119
14 2012117
15 2018111
16 201379
17
Perspectives on Sparse Bayesian Learning
200378
18 201165
19 200657
20 200053

About David Wipf

David Wipf is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Cognitive Neuroscience, having authored 90 papers that have together received 5.6k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (36 papers), Blind Source Separation Techniques (25 papers), Advanced Image Processing Techniques (10 papers), Gaussian Processes and Bayesian Inference (9 papers), Neural dynamics and brain function (8 papers), Image and Signal Denoising Methods (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Signal Processing (1.9k citations), Computational Mechanics (1.9k citations), Computer Vision and Pattern Recognition (1.8k citations), Computer Graphics and Computer-Aided Design (196 citations) and Media Technology (441 citations). David Wipf has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bhaskar D. Rao, Srikantan S. Nagarajan, Haichao Zhang, Jiaolong Yang, Mohan M. Trivedi, J.C. McCall, Qingnan Fan, Baoquan Chen, Jason Palmer and Yanning Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing, NeuroImage, IEEE Journal of Selected Topics in Signal Processing and ACM Transactions on Graphics.

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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