László Orzó

459 total citations
37 papers, 320 citations indexed

About

László Orzó is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, László Orzó has authored 37 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 16 papers in Atomic and Molecular Physics, and Optics and 11 papers in Artificial Intelligence. Recurrent topics in László Orzó's work include Digital Holography and Microscopy (13 papers), Advanced Memory and Neural Computing (11 papers) and Neural Networks Stability and Synchronization (9 papers). László Orzó is often cited by papers focused on Digital Holography and Microscopy (13 papers), Advanced Memory and Neural Computing (11 papers) and Neural Networks Stability and Synchronization (9 papers). László Orzó collaborates with scholars based in Hungary, United States and Russia. László Orzó's co-authors include Ákos Zarándy, Frank S. Werblin, Botond Roska, T. Roska, Zoltán Göröcs, J. Hámori, Zoltán Vidnyánszky, P.L. Venetianer, J. Takács and Tamás Roska and has published in prestigious journals such as Journal of Neuroscience, Optics Letters and Optics Express.

In The Last Decade

László Orzó

32 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
László Orzó Hungary	11	108	108	87	81	70	37	320
Wai Teng Tang Singapore	13	103 1.0×	125 1.2×	65 0.7×	61 0.8×	19 0.3×	22	444
Toru Aonishi Japan	12	61 0.6×	83 0.8×	28 0.3×	129 1.6×	201 2.9×	52	436
Caitlin R. S. Williams United States	6	126 1.2×	171 1.6×	99 1.1×	182 2.2×	42 0.6×	12	396
Alicia d’Anjou Spain	15	125 1.2×	260 2.4×	10 0.1×	107 1.3×	320 4.6×	48	749
Elad Cohen Israel	4	160 1.5×	160 1.5×	94 1.1×	184 2.3×	25 0.4×	5	417
Irina Fedulova Russia	9	27 0.3×	41 0.4×	14 0.2×	119 1.5×	98 1.4×	13	417
Patrick Garda France	10	156 1.4×	19 0.2×	15 0.2×	82 1.0×	24 0.3×	82	329
Tetsuya Yoshinaga Japan	13	61 0.6×	316 2.9×	43 0.5×	42 0.5×	245 3.5×	75	647
Hiroki Aida Japan	4	171 1.6×	164 1.5×	59 0.7×	159 2.0×	12 0.2×	4	363
Kazuya Amano Japan	3	341 3.2×	311 2.9×	230 2.6×	365 4.5×	34 0.5×	4	782

Countries citing papers authored by László Orzó

Since Specialization

Citations

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

Fields of papers citing papers by László Orzó

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Orzó

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

All Works

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20 of 20 papers shown

Orzó, László, et al.. (2024). Hologram Noise Model for Data Augmentation and Deep Learning. Sensors. 24(3). 948–948.

Orzó, László, et al.. (2022). Classification of Holograms with 3D-CNN. Sensors. 22(21). 8366–8366. 8 indexed citations

Orzó, László, et al.. (2017). Application of Digital Holographic Microscopy for Automatic Monitoring of Freely Floating Microorganisms.. ERCIM news/ERCIM news online edition. 2017. 1 indexed citations

Orzó, László. (2015). High speed phase retrieval of in-line holograms by the assistance of corresponding off-axis holograms. Optics Express. 23(13). 16638–16638. 18 indexed citations

Zarándy, Ákos, et al.. (2014). Visual neural adaptation models for optimization of multifocal intraocular lens. 46. 1–2. 1 indexed citations

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

Orzó, László, et al.. (2012). In-line hologram segmentation for volumetric samples. Applied Optics. 52(1). A45–A45. 5 indexed citations

Orzó, László, et al.. (2010). GPU implementation of volume reconstruction and object detection in Digital Holographic Microscopy. 42. 1–4. 8 indexed citations

Gál, Viktor, J. Hámori, T. Roska, et al.. (2004). RECEPTIVE FIELD ATLAS AND RELATED CNN MODELS. International Journal of Bifurcation and Chaos. 14(2). 551–584. 14 indexed citations

10.

Rekeczky, Csaba, et al.. (2003). Two-wavelength POAC (Programmable Opto-Electronic Analogic Computer) using bacteriorhodopsin as dynamic holographic material. SZTAKI Publication Repository (Hungarian Academy of Sciences). 2 indexed citations

11.

Orzó, László, et al.. (2003). FLEXIBLY PROGRAMMABLE OPTO-ELECTRONIC ANALOGIC CNN COMPUTER (POAC) IMPLEMENTATION APPLYING AN EFFICIENT, UNCONVENTIONAL OPTICAL CORRELATOR ARCHITECTURE. Journal of Circuits Systems and Computers. 12(6). 739–767. 6 indexed citations

12.

Orzó, László, et al.. (2003). Application issues of a programmable optical CNN implementation. 46. 156–163. 2 indexed citations

13.

Orzó, László, et al.. (2001). An advanced joint Fourier transform correlator (JTC). SZTAKI Publication Repository (Hungarian Academy of Sciences). 7 indexed citations

14.

Orzó, László, et al.. (2001). Programmable opto-electronic CNN implementation provides a new and powerful tool for image processing applications. (Research report of the Analogical and Neural Computing Laboratory DNS-9-2001.). SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations

15.

Orzó, László, et al.. (2001). Design aspects of an optical correlator based CNN implementation. SZTAKI Publication Repository (Hungarian Academy of Sciences). 5 indexed citations

16.

Orzó, László, et al.. (2000). Dennis Gabor as the initiator of optical computing: Importance and prospects of optical computing and an optical implementation of the CNN-UM computer. SZTAKI Publication Repository (Hungarian Academy of Sciences). 3 indexed citations

17.

Orzó, László & E. Lábos. (2000). Effects of the synaptic transmission's dynamics on possible neural codes. Biosystems. 58(1-3). 75–81.

18.

Zarándy, Ákos, et al.. (1999). CNN-based models for color vision and visual illusions. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 46(2). 229–238. 17 indexed citations

19.

Orzó, László. (1993). Deviation code is a prospective candidate of the communication between adapting neurons.. PubMed. 1(3). 223–34. 1 indexed citations

20.

Roska, Tamás, J. Hámori, E. Lábos, et al.. (1992). The use of CNN models in the visual parthway. Part II: The amacrine cell in the modified retina model, simple LGN effects and motion related illusions. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-9-1992.). SZTAKI Publication Repository (Hungarian Academy of Sciences). 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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