John Murray–Bruce

658 total citations
27 papers, 416 citations indexed

About

John Murray–Bruce is a scholar working on Instrumentation, Acoustics and Ultrasonics and Computer Vision and Pattern Recognition. According to data from OpenAlex, John Murray–Bruce has authored 27 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Instrumentation, 10 papers in Acoustics and Ultrasonics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in John Murray–Bruce's work include Advanced Optical Sensing Technologies (14 papers), Random lasers and scattering media (10 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). John Murray–Bruce is often cited by papers focused on Advanced Optical Sensing Technologies (14 papers), Random lasers and scattering media (10 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). John Murray–Bruce collaborates with scholars based in United States, United Kingdom and Czechia. John Murray–Bruce's co-authors include Vivek K Goyal, Charles Saunders, Pier Luigi Dragotti, Shuhui Li, David B. Phillips, Tomáš Čižmár, Daniel J. Lum, Christopher Yu, Yanting Ma and William T. Freeman and has published in prestigious journals such as Nature, Nature Communications and IEEE Transactions on Signal Processing.

In The Last Decade

John Murray–Bruce

24 papers receiving 389 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Murray–Bruce United States 10 217 200 126 79 61 27 416
Yanting Ma United States 10 156 0.7× 52 0.3× 126 1.0× 103 1.3× 43 0.7× 28 401
Gregory A. Howland United States 15 223 1.0× 338 1.7× 162 1.3× 76 1.0× 143 2.3× 32 793
Dayan Li China 11 36 0.2× 157 0.8× 159 1.3× 155 2.0× 32 0.5× 25 450
Guang Wu China 14 323 1.5× 36 0.2× 68 0.5× 71 0.9× 156 2.6× 54 630
Xu‐Ri Yao China 16 164 0.8× 770 3.9× 232 1.8× 256 3.2× 51 0.8× 55 921
Jianhong Shi China 19 145 0.7× 452 2.3× 160 1.3× 146 1.8× 221 3.6× 104 1.0k
Ziyi Meng China 11 49 0.2× 77 0.4× 236 1.9× 231 2.9× 102 1.7× 18 533
Carl E. Halford United States 12 83 0.4× 16 0.1× 82 0.7× 60 0.8× 245 4.0× 63 473
István Gyöngy United Kingdom 20 780 3.6× 41 0.2× 212 1.7× 103 1.3× 328 5.4× 58 1.1k
Verónica Fernández Spain 12 304 1.4× 24 0.1× 71 0.6× 195 2.5× 133 2.2× 37 770

Countries citing papers authored by John Murray–Bruce

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John Murray–Bruce

This figure shows the co-authorship network connecting the top 25 collaborators of John Murray–Bruce. A scholar is included among the top collaborators of John Murray–Bruce based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Murray–Bruce. John Murray–Bruce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Murray–Bruce, John, et al.. (2024). Two-edge-resolved three-dimensional non-line-of-sight imaging with an ordinary camera. Nature Communications. 15(1). 1162–1162. 7 indexed citations
3.
Saunders, Charles, et al.. (2022). Double Your Corners, Double Your Fun: The Doorway Camera. 1–12. 11 indexed citations
4.
Murray–Bruce, John, et al.. (2022). Turning Door Frames into Cameras for 3D Non-line-of-sight Imaging. 4 indexed citations
5.
Li, Shuhui, Charles Saunders, Daniel J. Lum, et al.. (2021). Compressively sampling the optical transmission matrix of a multimode fibre. Light Science & Applications. 10(1). 88–88. 74 indexed citations
6.
Murray–Bruce, John, et al.. (2021). Time-Resolved Focused Ion Beam Microscopy: Modeling, Estimation Methods, and Analyses. IEEE Transactions on Computational Imaging. 7. 547–561. 13 indexed citations
7.
Murray–Bruce, John, et al.. (2020). Two-Dimensional Non-Line-of-Sight Scene Estimation from a Single Edge\n Occluder. arXiv (Cornell University). 29 indexed citations
8.
Saunders, Charles, et al.. (2020). Multi-Depth Computational Periscopy with an Ordinary Camera. 9299–9305. 6 indexed citations
9.
Murray–Bruce, John, et al.. (2020). Source shot noise mitigation in focused ion beam microscopy by time-resolved measurement. Ultramicroscopy. 211. 112948–112948. 15 indexed citations
10.
Saunders, Charles, John Murray–Bruce, & Vivek K Goyal. (2019). Computational periscopy with an ordinary digital camera. Nature. 565(7740). 472–475. 140 indexed citations
11.
Saunders, Charles, John Murray–Bruce, & Vivek K Goyal. (2019). Computational Periscopy without Time-Resolved Sensing. CM2A.4–CM2A.4. 1 indexed citations
12.
Murray–Bruce, John, Charles Saunders, & Vivek K Goyal. (2019). Occlusion-based computational periscopy with consumer cameras. OpenBU (Boston University). 32–32. 7 indexed citations
13.
Ma, Yanting, John Murray–Bruce, Charles Saunders, et al.. (2019). Corner Occluder Computational Periscopy: Estimating a Hidden Scene from a Single Photograph. 1–9. 25 indexed citations
14.
Murray–Bruce, John, et al.. (2018). Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter\n Estimation. arXiv (Cornell University). 3 indexed citations
15.
Murray–Bruce, John & Pier Luigi Dragotti. (2017). A Sampling Framework for Solving Physics-Driven Inverse Source Problems. IEEE Transactions on Signal Processing. 65(24). 6365–6380. 17 indexed citations
16.
Murray–Bruce, John & Pier Luigi Dragotti. (2016). Solving inverse source problems for linear PDEs using sparse sensor measurements. Spiral (Imperial College London). 39. 517–521. 1 indexed citations
17.
Murray–Bruce, John & Pier Luigi Dragotti. (2016). Solving physics-driven inverse problems via structured least squares. Spiral (Imperial College London). 32. 331–335. 3 indexed citations
18.
Murray–Bruce, John & Pier Luigi Dragotti. (2016). Reconstructing non-point sources of diffusion fields using sensor measurements. 1. 4004–4008. 3 indexed citations
19.
Murray–Bruce, John & Pier Luigi Dragotti. (2016). Physics-driven quantized consensus for distributed diffusion source estimation using sensor networks. EURASIP Journal on Advances in Signal Processing. 2016(1). 5 indexed citations
20.
Murray–Bruce, John & Pier Luigi Dragotti. (2014). Reconstructing diffusion fields sampled with a network of arbitrarily distributed sensors. Spiral (Imperial College London). 885–889. 5 indexed citations

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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