Zoltán Göröcs

3.0k total citations · 2 hit papers
37 papers, 2.2k citations indexed

About

Zoltán Göröcs is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Biophysics. According to data from OpenAlex, Zoltán Göröcs has authored 37 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atomic and Molecular Physics, and Optics, 20 papers in Biomedical Engineering and 16 papers in Biophysics. Recurrent topics in Zoltán Göröcs's work include Digital Holography and Microscopy (22 papers), Image Processing Techniques and Applications (11 papers) and Advanced Fluorescence Microscopy Techniques (9 papers). Zoltán Göröcs is often cited by papers focused on Digital Holography and Microscopy (22 papers), Image Processing Techniques and Applications (11 papers) and Advanced Fluorescence Microscopy Techniques (9 papers). Zoltán Göröcs collaborates with scholars based in United States, Hungary and United Kingdom. Zoltán Göröcs's co-authors include Aydogan Özcan, Wei Luo, Yair Rivenson, Yibo Zhang, Hongda Wang, Harun Günaydın, Derek Tseng, Alborz Feizi, Serhan O. Isikman and Liang Xue and has published in prestigious journals such as ACS Nano, Nature Methods and Scientific Reports.

In The Last Decade

Zoltán Göröcs

35 papers receiving 2.1k citations

Hit Papers

Deep learning microscopy 2012 2026 2016 2021 2017 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zoltán Göröcs United States 17 1.0k 912 553 522 370 37 2.2k
Serhan O. Isikman United States 19 1.3k 1.2× 1.3k 1.4× 700 1.3× 581 1.1× 309 0.8× 37 2.3k
Yibo Zhang United States 25 942 0.9× 1.4k 1.6× 892 1.6× 888 1.7× 272 0.7× 63 3.3k
Hongda Wang United States 16 681 0.7× 684 0.8× 881 1.6× 611 1.2× 201 0.5× 34 2.1k
Sungkyu Seo South Korea 19 1.0k 1.0× 707 0.8× 482 0.9× 355 0.7× 319 0.9× 80 1.9k
Euan McLeod United States 23 1.3k 1.2× 1.0k 1.1× 464 0.8× 301 0.6× 215 0.6× 61 2.1k
Björn Kemper Germany 33 1.4k 1.4× 3.2k 3.5× 1.1k 2.0× 1.6k 3.2× 441 1.2× 177 4.5k
KyeoReh Lee South Korea 21 833 0.8× 1.4k 1.6× 360 0.7× 556 1.1× 37 0.1× 44 2.0k
Lisa Miccio Italy 33 1.5k 1.4× 2.4k 2.7× 802 1.5× 1.0k 2.0× 93 0.3× 170 3.5k
Pasquale Memmolo Italy 35 1.6k 1.5× 3.0k 3.3× 975 1.8× 1.5k 2.9× 103 0.3× 184 4.1k

Countries citing papers authored by Zoltán Göröcs

Since Specialization
Citations

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

Fields of papers citing papers by Zoltán Göröcs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán Göröcs

This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán Göröcs. A scholar is included among the top collaborators of Zoltán Göröcs 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 Zoltán Göröcs. Zoltán Göröcs 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.
Göröcs, Zoltán, David Baum, Xilin Yang, et al.. (2024). Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning. ACS Nano. 18(34). 23365–23379. 9 indexed citations
2.
Miller, Benjamin S., Michael R. Thomas, Qingshan Wei, et al.. (2022). Sub-picomolar lateral flow antigen detection with two-wavelength imaging of composite nanoparticles. Biosensors and Bioelectronics. 207. 114133–114133. 16 indexed citations
3.
Haan, Kevin de, et al.. (2021). Phenotypic Analysis of Microalgae Populations Using Label-Free Imaging Flow Cytometry and Deep Learning. ACS Photonics. 8(4). 1232–1242. 25 indexed citations
4.
Haan, Kevin de, et al.. (2021). Label-free imaging flow cytometry for phenotypic analysis of microalgae populations using deep learning. FM3D.4–FM3D.4. 2 indexed citations
5.
Koydemir, Hatice Ceylan, et al.. (2019). Smartphone-based turbidity reader. Scientific Reports. 9(1). 19901–19901. 19 indexed citations
6.
Wu, Yichen, Yi Luo, Cheng Chen, et al.. (2019). Label-free Bio-aerosol Sensing Using On-Chip Holographic Microscopy and Deep Learning. Conference on Lasers and Electro-Optics. 2 indexed citations
7.
Wu, Yichen, Yi Luo, Cheng Chen, et al.. (2018). Label-Free Bioaerosol Sensing Using Mobile Microscopy and Deep Learning. ACS Photonics. 5(11). 4617–4627. 64 indexed citations
8.
Göröcs, Zoltán, Miu Tamamitsu, Vittorio Bianco, et al.. (2018). A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples. Light Science & Applications. 7(1). 66–66. 131 indexed citations
9.
Wu, Yichen, Yicheng Li, Steve Feng, et al.. (2017). Air quality monitoring using mobile microscopy and machine learning. Light Science & Applications. 6(9). e17046–e17046. 113 indexed citations
10.
Rivenson, Yair, Zoltán Göröcs, Harun Günaydın, et al.. (2017). Deep learning microscopy. Optica. 4(11). 1437–1437. 448 indexed citations breakdown →
11.
Ray, Aniruddha, Zoltán Göröcs, R. K. Malik, et al.. (2017). Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light. Scientific Reports. 7(1). 44157–44157. 16 indexed citations
12.
Göröcs, Zoltán, Euan McLeod, & Aydogan Özcan. (2015). Enhanced light collection in fluorescence microscopy using self-assembled micro-reflectors. Scientific Reports. 5(1). 10999–10999. 13 indexed citations
13.
Luo, Wei, Yibo Zhang, Alborz Feizi, Zoltán Göröcs, & Aydogan Özcan. (2015). Pixel super-resolution using wavelength scanning. Light Science & Applications. 5(4). e16060–e16060. 166 indexed citations
14.
Göröcs, Zoltán, et al.. (2014). Special multicolor illumination and numerical tilt correction in volumetric digital holographic microscopy. Optics Express. 22(7). 7559–7559. 11 indexed citations
15.
Göröcs, Zoltán, et al.. (2013). Giga-pixel fluorescent imaging over an ultra-large field-of-view using a flatbed scanner. Lab on a Chip. 13(22). 4460–4460. 23 indexed citations
16.
Göröcs, Zoltán & Aydogan Özcan. (2012). On-Chip Biomedical Imaging. IEEE Reviews in Biomedical Engineering. 6. 29–46. 90 indexed citations
17.
Greenbaum, Alon, Wei Luo, Ting‐Wei Su, et al.. (2012). Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy. Nature Methods. 9(9). 889–895. 401 indexed citations breakdown →
18.
Göröcs, Zoltán, et al.. (2010). Hologram positioning servo for phase-encoded holographic data storage systems. Applied Optics. 49(4). 611–611. 4 indexed citations
19.
Orzó, László, et al.. (2010). GPU implementation of volume reconstruction and object detection in Digital Holographic Microscopy. 42. 1–4. 8 indexed citations
20.
Göröcs, Zoltán, Gábor Erdei, Ferenc Újhelyi, et al.. (2007). Hybrid multinary modulation using a phase modulating spatial light modulator and a low-pass spatial filter. Optics Letters. 32(16). 2336–2336. 21 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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