Ákos Zarándy

125 papers receiving 1.4k citations

Peers

Ákos Zarándy
Comparison fields: 5 of 104
  • Computer Networks and Communications 579
  • Computer Vision and Pattern Recognition 299
  • Artificial Intelligence 430
  • Electrical and Electronic Engineering 751
  • Aerospace Engineering 291
Replace Ricardo Carmona‐Galán with:
Ricardo Carmona‐Galán Spain
R. Domínguez‐Castro Spain
Janusz A. Starzyk United States
Majid Ahmadi Canada
Christos-Savvas Bouganis United Kingdom
B.J. Sheu United States
Sichun Du China
Saibal Mukhopadhyay United States
Toshiaki Koike–Akino United States
Jun Yang China
Ákos Zarándy relative to Ricardo Carmona‐Galán Spain Ricardo Carmona‐Galán's profile →
Citations per field
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Ricardo Carmona‐Galán · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ákos Zarándy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ákos Zarándy Line = papers co-authored together Ákos Zarándy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997117
2
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS 12/6
200380
3 199964
4 201163
5 200155
6 199354
7 200546
8 200544
9 199937
10 199934
11 201134
12 199830
13 201529
14
CNN software library (Templates and algorithms.) Version 7.2
199825
15 199223
16 200322
17 200821
18 200621
19 199621
20 199919

About Ákos Zarándy

Ákos Zarándy is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 134 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (53 papers), Neural Networks Stability and Synchronization (45 papers), CCD and CMOS Imaging Sensors (35 papers), Neural Networks and Applications (28 papers), Robotics and Sensor-Based Localization (20 papers), Infrared Target Detection Methodologies (18 papers), Advanced Vision and Imaging (16 papers) and Cellular Automata and Applications (9 papers). The work is most often cited by research in Computer Networks and Communications (579 citations), Computer Vision and Pattern Recognition (299 citations), Artificial Intelligence (430 citations), Electrical and Electronic Engineering (751 citations) and Aerospace Engineering (291 citations). Ákos Zarándy has collaborated with scholars based in Hungary, United States and Spain. Frequent co-authors include T. Roska, Péter Földesy, Csaba Rekeczky, Tamás Roska, C. Rekeczky, Leon O. Chua, Tamás Zsedrovits, Marco Gilli, Bálint Vanek and J. Bokor. Their work appears in journals such as International Journal of Circuit Theory and Applications, IEEE Circuits and Systems Magazine, Journal of Intelligent & Robotic Systems, Applied Sciences and IEEE Sensors Journal.

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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