John Murray–Bruce
Impact in
- Acoustics and Ultrasonics top 0.5%
- Random lasers and scattering media
- Instrumentation top 5%
- Advanced Optical Sensing Technologies
Papers in
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- Advanced Optical Sensing Technologies 14
-
- Random lasers and scattering media 10
- Co-authors
- Vivek K Goyal (13 shared papers)Charles Saunders (8 shared papers)Pier Luigi Dragotti (10 shared papers)Shuhui Li (1 shared paper)Daniel J. Lum (1 shared paper)Tomáš Čižmár (1 shared paper)David B. Phillips (1 shared paper)Christopher Yu (3 shared papers)
- Journals
- IEEE Transactions on Signal Processing (2 papers)Nature Communications (1 paper)Light Science & Applications (1 paper)IEEE Transactions on Computational Imaging (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John Murray–Bruce
24 papers receiving 400 citations
Peers
Comparison fields: 5 of 51
- Acoustics and Ultrasonics 207
- Instrumentation 224
- Structural Biology 22
- Computational Mathematics 4
- Biophysics 35
Countries citing papers authored by John Murray–Bruce
This map shows the geographic impact of John Murray–Bruce'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 John Murray–Bruce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Murray–Bruce more than expected).
Fields of papers citing papers by John Murray–Bruce
This network shows the impact of papers produced by John Murray–Bruce. 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 John Murray–Bruce. The network helps show where John Murray–Bruce may publish in the future.
Co-authors
The 16 scholars most cited alongside John Murray–Bruce, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 143 | |
| 2 | 2021 | 80 | |
| 3 | 2015 | 31 | |
| 4 | 2020 | 29 | |
| 5 | 2019 | 25 | |
| 6 | 2017 | 18 | |
| 7 | 2020 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2016 | 5 | |
| 15 | Reconstructing diffusion fields sampled with a network of arbitrarily distributed sensors | 2014 | 5 |
| 16 | 2022 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2016 | 3 |
About John Murray–Bruce
John Murray–Bruce is a scholar working on Instrumentation, Acoustics and Ultrasonics, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 27 papers that have together received 428 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (14 papers), Random lasers and scattering media (10 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Image and Signal Denoising Methods (5 papers), Numerical methods in inverse problems (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Optical measurement and interference techniques (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (207 citations), Instrumentation (224 citations), Structural Biology (22 citations), Computational Mathematics (4 citations) and Biophysics (35 citations). John Murray–Bruce has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Vivek K Goyal, Charles Saunders, Pier Luigi Dragotti, Shuhui Li, Daniel J. Lum, Tomáš Čižmár, David B. Phillips, Christopher Yu, Yanting Ma and William T. Freeman. Their work appears in journals such as IEEE Transactions on Signal Processing, Nature Communications, Light Science & Applications, IEEE Transactions on Computational Imaging and Nature.
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.