Guy Satat

2.4k total citations · 2 hit papers
18 papers, 1.6k citations indexed

About

Guy Satat is a scholar working on Instrumentation, Biomedical Engineering and Acoustics and Ultrasonics. According to data from OpenAlex, Guy Satat has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Instrumentation, 9 papers in Biomedical Engineering and 8 papers in Acoustics and Ultrasonics. Recurrent topics in Guy Satat's work include Advanced Optical Sensing Technologies (10 papers), Random lasers and scattering media (8 papers) and Optical Coherence Tomography Applications (7 papers). Guy Satat is often cited by papers focused on Advanced Optical Sensing Technologies (10 papers), Random lasers and scattering media (8 papers) and Optical Coherence Tomography Applications (7 papers). Guy Satat collaborates with scholars based in United States, Israel and India. Guy Satat's co-authors include Shahar Kvatinsky, Uri Weiser, Nimrod Wald, Eby G. Friedman, Avinoam Kolodny, Ramesh Raskar, Д. Р. Белоусов, Matthew Tancik, Barmak Heshmat and Dan Raviv and has published in prestigious journals such as Nature Communications, Nature Photonics and Scientific Reports.

In The Last Decade

Guy Satat

18 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MAGIC—Memristor-Aided Logic

2014 604 citations Shahar Kvatinsky, Д. Р. Белоусов et al. IEEE Transactions on Circuits & Systems II Express Briefs profile →
Memristor-Based Material Implication (IMPLY) Logic: Design Principles and Methodologies

2013 479 citations Shahar Kvatinsky, Guy Satat et al. IEEE Transactions on Very Large Scale Integration (VLSI) Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guy Satat United States	10	1.3k	700	205	155	146	18	1.6k
Raphael Berner Switzerland	14	1.2k 0.9×	449 0.6×	53 0.3×	18 0.1×	18 0.1×	23	1.4k
Alexandre Schmid Switzerland	19	952 0.8×	461 0.7×	19 0.1×	10 0.1×	49 0.3×	168	1.5k
Yusuke Oike Japan	18	671 0.5×	101 0.1×	180 0.9×	9 0.1×	16 0.1×	66	927
Bharathwaj Muthuswamy United States	9	978 0.8×	235 0.3×	38 0.2×	23 0.1×	10 0.1×	16	1.4k
W. Brockherde Germany	18	715 0.6×	32 0.0×	724 3.5×	40 0.3×	67 0.5×	82	1.3k
Christian Brändli Switzerland	11	838 0.7×	215 0.3×	54 0.3×	20 0.1×	10 0.1×	14	1.1k
Shoushun Chen Singapore	22	1.1k 0.9×	290 0.4×	55 0.3×	3 0.0×	255 1.7×	100	1.6k
Nicola Massari Italy	16	697 0.6×	70 0.1×	526 2.6×	18 0.1×	7 0.0×	86	1.1k
Daniel Matolin Austria	11	927 0.7×	292 0.4×	72 0.4×	11 0.1×	5 0.0×	27	1.1k
Pier Andrea Francese Switzerland	26	1.9k 1.5×	44 0.1×	105 0.5×	7 0.0×	130 0.9×	92	2.0k

Countries citing papers authored by Guy Satat

Since Specialization

Citations

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

Fields of papers citing papers by Guy Satat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Satat

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Satat. A scholar is included among the top collaborators of Guy Satat 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 Guy Satat. Guy Satat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Satat, Guy, et al.. (2018). Compressive Ultrafast Single Pixel Camera. CTu2E.2–CTu2E.2. 1 indexed citations

2.

Heshmat, Barmak, Matthew Tancik, Guy Satat, & Ramesh Raskar. (2018). Photography optics in the time dimension. Nature Photonics. 12(9). 560–566. 8 indexed citations

3.

Tancik, Matthew, Tristan Swedish, Guy Satat, & Ramesh Raskar. (2018). Data-Driven Non-Line-of-Sight Imaging With A Traditional Camera. IW2B.6–IW2B.6. 6 indexed citations

4.

Satat, Guy, Matthew Tancik, & Ramesh Raskar. (2018). Towards photography through realistic fog. 1–10. 75 indexed citations

5.

Satat, Guy, Matthew Tancik, & Ramesh Raskar. (2017). Lensless Imaging With Compressive Ultrafast Sensing. IEEE Transactions on Computational Imaging. 3(3). 398–407. 44 indexed citations

6.

Satat, Guy, Matthew Tancik, Otkrist Gupta, Barmak Heshmat, & Ramesh Raskar. (2017). Object classification through scattering media with deep learning on time resolved measurement. Optics Express. 25(15). 17466–17466. 89 indexed citations

7.

Satat, Guy, Barmak Heshmat, Dan Raviv, & Ramesh Raskar. (2016). All Photons Imaging Through Volumetric Scattering. Scientific Reports. 6(1). 33946–33946. 66 indexed citations

8.

Satat, Guy, Barmak Heshmat, Nikhil Naik, Albert Redo-Sanchez, & Ramesh Raskar. (2016). Advances in ultrafast optics and imaging applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9835. 98350Q–98350Q. 4 indexed citations

9.

Puri, Rohan, et al.. (2016). Design and preliminary evaluation of a wearable device for mass-screening of sleep apnea. PubMed. 2016. 1870–1873. 11 indexed citations

10.

Satat, Guy, et al.. (2016). Identi-wheez — A device for in-home diagnosis of asthma. PubMed. 2016. 4375–4378. 5 indexed citations

11.

Satat, Guy, Barmak Heshmat, Christopher Barsi, et al.. (2015). Locating and classifying fluorescent tags behind turbid layers using time-resolved inversion. Nature Communications. 6(1). 6796–6796. 33 indexed citations

12.

Satat, Guy, Dan Raviv, Barmak Heshmat, & Ramesh Raskar. (2015). Imaging through thick turbid medium using time-resolved measurement. CT3F.4–CT3F.4. 2 indexed citations

13.

Satat, Guy, Christopher Barsi, Barmak Heshmat, Dan Raviv, & Ramesh Raskar. (2014). Locating fluorescence lifetimes behind turbid layers non-invasively using sparse, time-resolved inversion. 3. JTh2A.43–JTh2A.43. 2 indexed citations

14.

Kvatinsky, Shahar, Д. Р. Белоусов, Guy Satat, et al.. (2014). MAGIC—Memristor-Aided Logic. IEEE Transactions on Circuits & Systems II Express Briefs. 61(11). 895–899. 604 indexed citations breakdown →

15.

Heshmat, Barmak, Guy Satat, Christopher Barsi, & Ramesh Raskar. (2014). Single-shot ultrafast imaging using parallax-free alignment with a tilted lenslet array. STu3E.7–STu3E.7. 23 indexed citations

16.

Satat, Guy, Christopher Barsi, & Ramesh Raskar. (2014). Skin perfusion photography. 26. 1–8. 6 indexed citations

17.

Kvatinsky, Shahar, Guy Satat, Nimrod Wald, et al.. (2013). Memristor-Based Material Implication (IMPLY) Logic: Design Principles and Methodologies. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 22(10). 2054–2066. 479 indexed citations breakdown →

18.

Kvatinsky, Shahar, Nimrod Wald, Guy Satat, et al.. (2012). MRL — Memristor Ratioed Logic. 1–6. 186 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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