George Barbastathis

10.9k total citations · 6 hit papers
307 papers, 7.6k citations indexed

About

George Barbastathis is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, George Barbastathis has authored 307 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Atomic and Molecular Physics, and Optics, 91 papers in Biomedical Engineering and 81 papers in Electrical and Electronic Engineering. Recurrent topics in George Barbastathis's work include Digital Holography and Microscopy (105 papers), Advanced X-ray Imaging Techniques (64 papers) and Photonic and Optical Devices (57 papers). George Barbastathis is often cited by papers focused on Digital Holography and Microscopy (105 papers), Advanced X-ray Imaging Techniques (64 papers) and Photonic and Optical Devices (57 papers). George Barbastathis collaborates with scholars based in United States, Singapore and China. George Barbastathis's co-authors include Lei Tian, Guohai Situ, Justin Lee, Laura Waller, Ayan Sinha, Aydogan Özcan, Yuan Luo, Demetri Psaltis, Shuai Li and Chih‐Hao Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

George Barbastathis

293 papers receiving 7.2k citations

Hit Papers

5 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.

On the use of deep learning for computational imaging

2019 545 citations George Barbastathis, Aydogan Özcan et al. Optica profile →
Lensless computational imaging through deep learning

2017 496 citations George Barbastathis et al. Optica profile →
Nanotextured Silica Surfaces with Robust Superhydrophobicity and Omnidirectional Broadband Supertransmissivity

2012 362 citations Kyoo‐Chul Park, Hyungryul J. Choi et al. profile →
Phase imaging with an untrained neural network

2020 310 citations George Barbastathis, Guohai Situ et al. Light Science & Applications profile →
Imaging through glass diffusers using densely connected convolutional networks

2018 301 citations George Barbastathis et al. Optica profile →
On the use of deep learning for phase recovery

2024 104 citations Kaiqiang Wang, Li Song et al. Light Science & Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George Barbastathis United States	43	4.0k	2.4k	1.9k	1.6k	1.4k	307	7.6k
Wolfgang Osten Germany	44	4.9k 1.2×	2.3k 1.0×	1.2k 0.7×	4.1k 2.5×	1.5k 1.0×	566	8.6k
Zeev Zalevsky Israel	41	3.2k 0.8×	2.6k 1.1×	1.7k 0.9×	2.7k 1.7×	648 0.4×	635	8.3k
Changhuei Yang United States	45	4.7k 1.2×	3.8k 1.6×	1.7k 0.9×	1.2k 0.8×	2.6k 1.8×	177	9.5k
J. C. Dainty United Kingdom	33	3.4k 0.9×	2.0k 0.9×	1.9k 1.0×	1.7k 1.0×	372 0.3×	179	6.8k
Xü Liu China	43	2.4k 0.6×	3.2k 1.3×	2.6k 1.4×	554 0.3×	539 0.4×	421	7.7k
Yair Rivenson United States	36	2.4k 0.6×	1.8k 0.8×	2.2k 1.1×	1.6k 1.0×	570 0.4×	124	7.4k
Liangcai Cao China	39	3.0k 0.8×	938 0.4×	885 0.5×	1.5k 0.9×	509 0.4×	280	5.3k
Colin J. R. Sheppard Australia	61	7.0k 1.7×	8.2k 3.5×	2.0k 1.1×	2.2k 1.3×	1.1k 0.8×	507	14.5k
Laura Waller United States	41	3.3k 0.8×	1.4k 0.6×	448 0.2×	1.7k 1.0×	2.1k 1.5×	188	5.6k
Ichirou Yamaguchi Japan	32	3.4k 0.8×	1.5k 0.6×	815 0.4×	2.7k 1.6×	409 0.3×	159	5.7k

Countries citing papers authored by George Barbastathis

Since Specialization

Citations

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

Fields of papers citing papers by George Barbastathis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Barbastathis

This figure shows the co-authorship network connecting the top 25 collaborators of George Barbastathis. A scholar is included among the top collaborators of George Barbastathis 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 George Barbastathis. George Barbastathis 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:

20 of 20 papers shown

Nongpiur, Monisha E., Fabian A. Braeu, Tin A. Tun, et al.. (2024). Biomechanics-Function in Glaucoma: Improved Visual Field Predictions from IOP-Induced Neural Strains. American Journal of Ophthalmology. 271. 250–258. 1 indexed citations

Inguva, Pavan, Yi Wei, Huiwen Yu, et al.. (2024). Impinging jet mixers: A review of their mixing characteristics, performance considerations, and applications. AIChE Journal. 71(1). 14 indexed citations

Wang, Kaiqiang, Li Song, Chutian Wang, et al.. (2024). On the use of deep learning for phase recovery. Light Science & Applications. 13(1). 4–4. 104 indexed citations breakdown →

Barbastathis, George, et al.. (2023). On the use of deep learning for three-dimensional computational imaging. 1. 22–22. 1 indexed citations

Liu, Zhiguang, George Barbastathis, Qihang Zhang, et al.. (2023). Noise-resilient deep learning for integrated circuit tomography. Optics Express. 31(10). 15355–15355. 2 indexed citations

Pham, Thanh-an, et al.. (2023). Chemical Sensors with Deep Spatiotemporal Priors. CTu5B.5–CTu5B.5. 1 indexed citations

Hussain, Shaista, Jacqueline Chua, Damon Wing Kee Wong, et al.. (2023). Predicting glaucoma progression using deep learning framework guided by generative algorithm. Scientific Reports. 13(1). 19960–19960. 28 indexed citations

Kim, Seok, et al.. (2021). Scalable 3D printing of aperiodic cellular structures by rotational stacking of integral image formation. Science Advances. 7(38). eabh1200–eabh1200. 28 indexed citations

Barbastathis, George, et al.. (2021). Implications of Delayed Reopening in Controlling the COVID-19 Surge in Southern and West-Central USA. SHILAP Revista de lepidopterología. 2021. 9798302–9798302. 3 indexed citations

10.

Kim, Samuel, Jamison Sloan, Josué J. López, et al.. (2019). Luneburg Lens for Wide-Angle Chip-Scale Optical Beam Steering. Conference on Lasers and Electro-Optics. 3 indexed citations

11.

Barbastathis, George, Aydogan Özcan, & Guohai Situ. (2019). On the use of deep learning for computational imaging. Optica. 6(8). 921–921. 545 indexed citations breakdown →

12.

Barbastathis, George, et al.. (2019). Analysis of Phase-Extraction Neural Network (PhENN) performance for lensless quantitative phase imaging. 35. 28–28. 1 indexed citations

13.

Nagelberg, Sara, Lauren D. Zarzar, Natalie J. Nicolas, et al.. (2017). Reconfigurable and responsive droplet-based compound micro-lenses. Nature Communications. 8(1). 14673–14673. 134 indexed citations

14.

Choi, Hyungryul J., Kyoo‐Chul Park, Hyomin Lee, et al.. (2017). Superoleophilic Titania Nanoparticle Coatings with Fast Fingerprint Decomposition and High Transparency. ACS Applied Materials & Interfaces. 9(9). 8354–8360. 14 indexed citations

15.

Zhang, Baile, Yuan Luo, Xiaogang Liu, & George Barbastathis. (2011). Macroscopic Invisibility Cloak for Visible Light. Physical Review Letters. 106(3). 33901–33901. 282 indexed citations

16.

Domínguez-Caballero, José A. & George Barbastathis. (2008). Stability of the Digital Holographic Inverse Problem as a Function of Particle Density. PDPJMA6–PDPJMA6. 1 indexed citations

17.

Arora, William J., Sybren Sijbrandij, Lewis Stern, et al.. (2007). Membrane folding by helium ion implantation for three-dimensional device fabrication. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 25(6). 2184–2187. 42 indexed citations

18.

Nielson, Gregory N., et al.. (2005). On the use of titanium nitride as structural material for nano-electro-mechanical systems (NEMS). 292–295. 8 indexed citations

19.

Sun, Wenyang, et al.. (2004). Surface profilometry at large working distances using volume holographic optics. Conference on Lasers and Electro-Optics. 1. 1 indexed citations

20.

Pu, Allen, George Barbastathis, Michael J. Levene, & Demetri Psaltis. (1995). Shift Multiplexed Holographic 3-D Disk. OWA2–OWA2. 2 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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