Zoltán Nagy

3.4k citations
114 papers · 1.8k indexed · h-index 22
Topics
Particle physics theoretical and experimental studies (24 papers)High-Energy Particle Collisions Research (22 papers)Neural Networks Stability and Synchronization (22 papers)

In The Last Decade

Zoltán Nagy

108 papers receiving 1.8k citations

Peers

Zoltán Nagy
Comparison fields: 5 of 102
  • Nuclear and High Energy Physics 1.1k
  • Electrical and Electronic Engineering 267
  • Computer Networks and Communications 247
  • Artificial Intelligence 193
  • Computer Vision and Pattern Recognition 127
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Countries citing papers authored by Zoltán Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Zoltán Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoltán Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Zoltán Nagy. A scholar is included among the top collaborators of Zoltán Nagy 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 Nagy. Zoltán Nagy 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
#WorkIndexed citations
1 1
2 5
3
Performance Analysis of the Opus Codec in VoIP Environment Using QoE Evaluation
3
4 17
5
An improved emulated digital CNN architecture for high performance FPGAs
2
6 0
7 2
8
Solving partial differential equations on emulated digital CNN-UM architectures
4
9
Seismic Wave Propagation Modeling on Emulated Digital CNN-UM Architecture
1
10
High-Quality Silhouette Illustration for Texture-Based Volume Rendering.
12
11 3
12
Numerical solution of a class of PDEs by using emulated digital CNN-UM on FPGAs
15
13 35
14
Magyarországi éghajlat-energetikai tanulmányok
1
15
Interactive volume illustration
34
16 128
17 65
18 46
19 9
20 20

About Zoltán Nagy

Zoltán Nagy is a scholar working on Nuclear and High Energy Physics, Algebra and Number Theory and Computer Graphics and Computer-Aided Design, having authored 114 papers that have together received 1.8k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (24 papers), High-Energy Particle Collisions Research (22 papers) and Neural Networks Stability and Synchronization (22 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.1k citations), Computer Graphics and Computer-Aided Design (61 citations) and Computational Mathematics (8 citations). Zoltán Nagy has collaborated with scholars based in Hungary, United States and Portugal. Frequent co-authors include Davison E. Soper, Zoltán László Trócsányi, P. Szolgay, Péter Szolgay, Reinhard Klein, András Kiss, Jens Schneider, Rüdiger Westermann, Cécile Appert-Rolland and Ludger Santen. Their work appears in journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

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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