Vivek K Goyal
- Acoustics and Ultrasonics top 0.2%
- Instrumentation top 0.5%
- Advanced Optical Sensing Technologies 48
- Signal Processing top 0.2%
- Digital Filter Design and Implementation 22
- Blind Source Separation Techniques 20
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- Image and Signal Denoising Methods 43
- Advanced Data Compression Techniques 35
- Biophysics top 0.2%
- Advanced Fluorescence Microscopy Techniques 18
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- Sparse and Compressive Sensing Techniques 47
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- Distributed Sensor Networks and Detection Algorithms 22
- Co-authors
- Jelena KovačevićAlexander A. BalandinSundeep RanganAlyson K. FletcherMartin VetterliDesalegne TeweldebrhanDongeek ShinJeffrey H. Shapiro
- Journals
- Nature (2 papers)Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Vivek K Goyal
202 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Acoustics and Ultrasonics 547
- Instrumentation 1.5k
- Signal Processing 1.7k
- Computer Vision and Pattern Recognition 2.7k
- Biophysics 669
Countries citing papers authored by Vivek K Goyal
This map shows the geographic impact of Vivek K Goyal'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 Vivek K Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek K Goyal more than expected).
Fields of papers citing papers by Vivek K Goyal
This network shows the impact of papers produced by Vivek K Goyal. 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 Vivek K Goyal. The network helps show where Vivek K Goyal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vivek K Goyal, 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 | 2025 | 1 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 11 | |
| 4 | 2021 | 108 | |
| 5 | 2021 | 74 | |
| 6 | 2020 | 29 | |
| 7 | 2019 | 140 | |
| 8 | 2018 | 136 | |
| 9 | 2018 | 3 | |
| 10 | 2016 | 208 | |
| 11 | Photon-efficient imaging with a single-photon camera | 2016 | 2 |
| 12 | 2013 | 3 | |
| 13 | Denoising sparse images from GRAPPA using the nullspace method (DESIGN) | 2011 | 2 |
| 14 | 2011 | 19 | |
| 15 | Simultaneously Sparse Solutions to Linear Inverse Problems with Multiple System Matrices and a Single Observation Vector | 2010 | 2 |
| 16 | Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing | 2009 | 22 |
| 17 | 2009 | 62 | |
| 18 | Resolution Limits of Sparse Coding in High Dimensions | 2008 | 3 |
| 19 | 2008 | 59 | |
| 20 | 2001 | 309 |
About Vivek K Goyal
Vivek K Goyal is a scholar working on Acoustics and Ultrasonics, Instrumentation and Structural Biology, having authored 211 papers that have together received 8.0k indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (48 papers), Sparse and Compressive Sensing Techniques (47 papers), Image and Signal Denoising Methods (43 papers), Advanced Data Compression Techniques (35 papers), Digital Filter Design and Implementation (22 papers), Distributed Sensor Networks and Detection Algorithms (22 papers), Blind Source Separation Techniques (20 papers) and Advanced Fluorescence Microscopy Techniques (18 papers). The work is most often cited by research in Acoustics and Ultrasonics (547 citations), Instrumentation (1.5k citations) and Signal Processing (1.7k citations). Vivek K Goyal has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Jelena Kovačević, Alexander A. Balandin, Sundeep Rangan, Alyson K. Fletcher, Martin Vetterli, Desalegne Teweldebrhan, Dongeek Shin, Jeffrey H. Shapiro, Ahmed Kirmani and Jonathan A. Kelner. Their work appears in journals such as Nature, Science 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.