Robert D. Nowak
- Computational Mechanics top 0.05%
- Sparse and Compressive Sensing Techniques 84
- Acoustics and Ultrasonics top 0.5%
- Signal Processing top 0.1%
- Blind Source Separation Techniques 39
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- Image and Signal Denoising Methods 57
- Medical Image Segmentation Techniques 18
- Computational Mathematics top 1%
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- Distributed Sensor Networks and Detection Algorithms 31
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- Machine Learning and Algorithms 30
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- Microwave Imaging and Scattering Analysis 21
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- Statistical Methods and Inference 16
- Co-authors
- Mário A. T. FigueiredoStephen J. WrightJarvis HauptMichael RabbatWaheed U. BajwaRichard G. BaraniukMatthew S CrouseA.M. Sayeed
- Journals
- IEEE Transactions on Information Theory (16 papers)IEEE Transactions on Signal Processing (14 papers)IEEE Transactions on Image Processing (5 papers)
- Partner nations
- United StatesPortugalCanada
In The Last Decade
Robert D. Nowak
230 papers receiving 14.1k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Computational Mechanics 6.7k
- Acoustics and Ultrasonics 233
- Signal Processing 2.3k
- Computer Vision and Pattern Recognition 4.3k
- Computational Mathematics 122
Countries citing papers authored by Robert D. Nowak
This map shows the geographic impact of Robert D. Nowak'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 Robert D. Nowak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert D. Nowak more than expected).
Fields of papers citing papers by Robert D. Nowak
This network shows the impact of papers produced by Robert D. Nowak. 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 Robert D. Nowak. The network helps show where Robert D. Nowak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert D. Nowak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | Banach Space Representer Theorems for Neural Networks and Ridge Splines | 2021 | 5 |
| 3 | Minimum "Norm" Neural Networks are Splines. | 2019 | 3 |
| 4 | Scalable Generalized Linear Bandits: Online Computation and Hashing | 2017 | 5 |
| 5 | A KL-LUCB algorithm for Large-Scale Crowdsourcing | 2017 | 5 |
| 6 | Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications | 2017 | 2 |
| 7 | Representational similarity learning with application to brain networks | 2016 | 6 |
| 8 | Sparse Dueling Bandits | 2015 | 7 |
| 9 | S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification | 2015 | 7 |
| 10 | lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits | 2014 | 40 |
| 11 | Test precyzyjnego tachimetru zmotoryzowanego pod kątem jego użycia do pomiarów pionowych przemieszczeń konstrukcji mostowych | 2013 | 3 |
| 12 | High-Rank Matrix Completion | 2012 | 2 |
| 13 | Transduction with Matrix Completion: Three Birds with One Stone | 2010 | 132 |
| 14 | Noisy Generalized Binary Search | 2009 | 34 |
| 15 | Unlabeled data: Now it helps, now it doesn't | 2008 | 116 |
| 16 | Human Active Learning | 2008 | 35 |
| 17 | 2007 | 211 | |
| 18 | Learning Minimum Volume Sets | 2005 | 41 |
| 19 | Near-Minimax Optimal Classification with Dyadic Classification Trees | 2003 | 9 |
| 20 | Multiscale Analysis of Photon-Limited Astronomical Signals and Images | 2002 | 1 |
About Robert D. Nowak
Robert D. Nowak is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Signal Processing, having authored 238 papers that have together received 15.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (84 papers), Image and Signal Denoising Methods (57 papers), Blind Source Separation Techniques (39 papers), Distributed Sensor Networks and Detection Algorithms (31 papers), Machine Learning and Algorithms (30 papers), Microwave Imaging and Scattering Analysis (21 papers), Medical Image Segmentation Techniques (18 papers) and Statistical Methods and Inference (16 papers). The work is most often cited by research in Computational Mechanics (6.7k citations), Acoustics and Ultrasonics (233 citations) and Signal Processing (2.3k citations). Robert D. Nowak has collaborated with scholars based in United States, Portugal and Canada. Frequent co-authors include Mário A. T. Figueiredo, Stephen J. Wright, Jarvis Haupt, Michael Rabbat, Waheed U. Bajwa, Richard G. Baraniuk, Matthew S Crouse, A.M. Sayeed, Rebecca Willett and Gil Raz. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, Journal of Machine Learning Research 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.