Ákos Zarándy

2.2k total citations
134 papers, 1.4k citations indexed

About

Ákos Zarándy is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Ákos Zarándy has authored 134 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Electrical and Electronic Engineering, 49 papers in Computer Networks and Communications and 36 papers in Aerospace Engineering. Recurrent topics in Ákos Zarándy's work include Advanced Memory and Neural Computing (53 papers), Neural Networks Stability and Synchronization (45 papers) and CCD and CMOS Imaging Sensors (35 papers). Ákos Zarándy is often cited by papers focused on Advanced Memory and Neural Computing (53 papers), Neural Networks Stability and Synchronization (45 papers) and CCD and CMOS Imaging Sensors (35 papers). Ákos Zarándy collaborates with scholars based in Hungary, United States and Spain. Ákos Zarándy's co-authors include T. Roska, Péter Földesy, Csaba Rekeczky, Tamás Roska, C. Rekeczky, Leon O. Chua, Tamás Zsedrovits, Bálint Vanek, Marco Gilli and J. Bokor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Letters and Sensors.

In The Last Decade

Ákos Zarándy

124 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ákos Zarándy Hungary 20 752 578 431 298 290 134 1.4k
Ricardo Carmona‐Galán Spain 18 964 1.3× 454 0.8× 210 0.5× 242 0.8× 170 0.6× 162 1.5k
Janusz A. Starzyk United States 25 1.3k 1.7× 370 0.6× 590 1.4× 154 0.5× 145 0.5× 132 2.3k
R. Domínguez‐Castro Spain 22 1.2k 1.6× 814 1.4× 691 1.6× 166 0.6× 97 0.3× 88 1.8k
Majid Ahmadi Canada 22 1.3k 1.7× 260 0.4× 628 1.5× 293 1.0× 95 0.3× 282 2.2k
Mauro Di Marco Italy 21 556 0.7× 687 1.2× 312 0.7× 186 0.6× 186 0.6× 90 1.2k
Christos-Savvas Bouganis United Kingdom 21 686 0.9× 194 0.3× 514 1.2× 830 2.8× 194 0.7× 124 1.8k
Sichun Du China 23 710 0.9× 385 0.7× 357 0.8× 471 1.6× 72 0.2× 73 1.6k
Tamás Roska Hungary 19 1.4k 1.8× 1.5k 2.6× 845 2.0× 294 1.0× 140 0.5× 130 2.6k
Toshiaki Koike‐Akino United States 26 2.4k 3.2× 1.1k 1.9× 415 1.0× 249 0.8× 187 0.6× 257 3.3k
B.J. Sheu United States 26 1.9k 2.6× 256 0.4× 623 1.4× 201 0.7× 61 0.2× 179 2.6k

Countries citing papers authored by Ákos Zarándy

Since Specialization
Citations

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

Fields of papers citing papers by Ákos Zarándy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ákos Zarándy

This figure shows the co-authorship network connecting the top 25 collaborators of Ákos Zarándy. A scholar is included among the top collaborators of Ákos Zarándy 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 Ákos Zarándy. Ákos Zarándy 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
2.
Nagy, Ádám, et al.. (2023). Neonatal Activity Monitoring by Camera-Based Multi-LSTM Network. SHILAP Revista de lepidopterología. 16–16.
3.
Nagy, Ádám, et al.. (2021). Continuous Camera-Based Premature-Infant Monitoring Algorithms for NICU. Applied Sciences. 11(16). 7215–7215. 16 indexed citations
4.
Földesy, Péter, Ákos Zarándy, & Miklós Szabó. (2020). Reference Free Incremental Deep Learning Model Applied for Camera-Based Respiration Monitoring. IEEE Sensors Journal. 21(2). 2346–2352. 5 indexed citations
5.
Zarándy, Ákos, et al.. (2011). A Computational Framework for a Bio-inspired Mechanism of Vernier Hyperacuity. SZTAKI Publication Repository (Hungarian Academy of Sciences). 4 indexed citations
6.
Földesy, Péter, Ákos Zarándy, & Csaba Rekeczky. (2008). Configurable 3D-integrated focal-plane sensor-processor array architecture. SZTAKI Publication Repository (Hungarian Academy of Sciences). 9 indexed citations
7.
Zarándy, Ákos & Csaba Rekeczky. (2004). Bi-i: a standalone cellular vision system. Part I. Architecture and ultra high frame rate processing examples. SZTAKI Publication Repository (Hungarian Academy of Sciences). 6 indexed citations
8.
Rekeczky, Csaba & Ákos Zarándy. (2004). Bi-i: a standalone cellular vision system. Part II: Topographic and non-topographic algorithms and related applications. SZTAKI Publication Repository (Hungarian Academy of Sciences). 3 indexed citations
9.
Wagner, R. V., Ákos Zarándy, & Tamás Roska. (2004). High dynamic range perception with spatially variant exposure. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 3 indexed citations
10.
Roska, Tamás & Ákos Zarándy. (2003). Proactive, adaptive, cellular sensory-computer architecture via extending the CNN univesal machine. SZTAKI Publication Repository (Hungarian Academy of Sciences). 3 indexed citations
11.
Zarándy, Ákos, et al.. (2000). 20 msec focal plane image processing. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations
12.
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
13.
Zarándy, Ákos, et al.. (1997). Mammogram and echocardiogram analysis by using cellular neural network technology. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations
14.
Zarándy, Ákos, et al.. (1996). Implementation of binary and gray-scale mathematical morphology on the CNN universal machine. ( Memorandum of the Electronics Research Laboratory, UCB/ERL M96/19). SZTAKI Publication Repository (Hungarian Academy of Sciences).
15.
Roska, Tamás, Leon O. Chua, & Ákos Zarándy. (1995). Translating neuromorphic CNN visual models to the analogic visual microprocessors. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations
16.
Hámori, J., et al.. (1995). Analogic CNN models of some qualitative pattern recognition tasks in the inferotemporal cortex. (Research report of the Neuromorphic Information Technology, Graduate Center. NIT-1-1995.). SZTAKI Publication Repository (Hungarian Academy of Sciences).
17.
Zarándy, Ákos, et al.. (1994). Novel types of analogic CNN algorithms for recognizing bank-notes. (Memorandum UCB/ERL M94/29.). SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations
18.
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
19.
Roska, Tamás, et al.. (1992). DUALCOMP dual CNN compiler to CNN-HAC1 board. Version 2.0. 1992. User's guide. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations
20.
Roska, Tamás, et al.. (1992). Some novel capabilities of CNN. Game of life and examples of multipath algorithms. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-3-1992.). SZTAKI Publication Repository (Hungarian Academy of Sciences).

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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