Géza Szabó

1.1k total citations
58 papers, 743 citations indexed

About

Géza Szabó is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Géza Szabó has authored 58 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 21 papers in Artificial Intelligence and 12 papers in Hardware and Architecture. Recurrent topics in Géza Szabó's work include Internet Traffic Analysis and Secure E-voting (18 papers), Network Security and Intrusion Detection (17 papers) and Network Traffic and Congestion Control (12 papers). Géza Szabó is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (18 papers), Network Security and Intrusion Detection (17 papers) and Network Traffic and Congestion Control (12 papers). Géza Szabó collaborates with scholars based in Hungary, Sweden and Brazil. Géza Szabó's co-authors include Djamel Sadok, Stênio Fernandes, Judith Kelner, Carlos Kamienski, Balázs Péter Gerö, Arthur Callado, Sándor Molnár, Katalin Sinkó, Miklós Zrı́nyi and István Szabó and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Computer Networks.

In The Last Decade

Géza Szabó

53 papers receiving 695 citations

Peers

Géza Szabó
Matthias Wählisch Germany
Diego Perino Spain
Alec Yasinsac United States
Xiaobin Tan China
Chia-Wei Hsu Taiwan
Wenbo Shen China
Edgardo Montes de France
Shashank Srivastava India
Matthias Wählisch Germany
Géza Szabó
Citations per year, relative to Géza Szabó Géza Szabó (= 1×) peers Matthias Wählisch

Countries citing papers authored by Géza Szabó

Since Specialization
Citations

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

Fields of papers citing papers by Géza Szabó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Géza Szabó

This figure shows the co-authorship network connecting the top 25 collaborators of Géza Szabó. A scholar is included among the top collaborators of Géza Szabó 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 Géza Szabó. Géza Szabó 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
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Szabó, Géza. (2024). Towards the automatic network resource management of OPC UA in 5G private networks. Computer Networks. 250. 110581–110581. 2 indexed citations
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Szabó, Géza, et al.. (2024). Deployment options of AI components for network resource management in 5G‐enabled agile industrial production cell. International Journal of Communication Systems. 38(3). 1 indexed citations
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Laki, Sándor, et al.. (2023). In-Network Quality Control of IP Camera Streams. Zenodo (CERN European Organization for Nuclear Research). 334–339. 3 indexed citations
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Szabó, Géza, et al.. (2023). Impact of Network Resource Management On Quality of Industrial Processes. 1–4. 2 indexed citations
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Szabó, Géza, et al.. (2021). Assessment of the Efficiency of 5G Network Exposure for the Industrial Internet of Things. 52–58. 7 indexed citations
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Toka, László, Márk Szalay, Dávid Haja, et al.. (2020). To boost or not to boost: a stochastic game in wireless access networks. 1–6. 3 indexed citations
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Sadok, Djamel, et al.. (2018). QUIC and TCP: A Performance Evaluation. 45–51. 22 indexed citations
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Szabó, Géza, et al.. (2018). Quality of Control-Aware Resource Allocation in 5G Wireless Access Networks. 1–6. 8 indexed citations
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Szabó, Géza, et al.. (2016). Potential Gains of Reactive Video QoE Enhancement by App Agnostic QoE Deduction. 55. 1–7. 4 indexed citations
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Molnár, Sándor, et al.. (2013). How to validate traffic generators?. 1340–1344. 24 indexed citations
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Szabó, Géza, et al.. (2012). Multi-level Machine Learning Traffic Classification System. 69–77. 11 indexed citations
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Antonello, Riccardo, Stênio Fernandes, Djamel Sadok, Judith Kelner, & Géza Szabó. (2012). Deterministic Finite Automaton for scalable traffic identification: The power of compressing by range. 14 indexed citations
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Sinkó, Katalin, Géza Szabó, & Miklós Zrı́nyi. (2011). Liquid-Phase Synthesis of Cobalt Oxide Nanoparticles. Journal of Nanoscience and Nanotechnology. 11(5). 4127–4135. 55 indexed citations
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Szabó, Géza, et al.. (2009). Traffic Classification over Gbit Speed with Commodity Hardware. Journal of Communications Software and Systems. 5(3). 93–93. 11 indexed citations
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Callado, Arthur, Carlos Kamienski, Géza Szabó, et al.. (2009). A Survey on Internet Traffic Identification. IEEE Communications Surveys & Tutorials. 11(3). 37–52. 270 indexed citations
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Szabó, Géza, et al.. (2007). Accurate Traffic Classification. 1–8. 52 indexed citations
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Szabó, Géza. (1970). Die Grundlagen einer neuen Festigkeitstheorie. 1 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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