Pál Varga

2.3k total citations · 1 hit paper
98 papers, 1.5k citations indexed

About

Pál Varga is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Pál Varga has authored 98 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Networks and Communications, 30 papers in Industrial and Manufacturing Engineering and 24 papers in Electrical and Electronic Engineering. Recurrent topics in Pál Varga's work include Digital Transformation in Industry (23 papers), IoT and Edge/Fog Computing (17 papers) and Flexible and Reconfigurable Manufacturing Systems (16 papers). Pál Varga is often cited by papers focused on Digital Transformation in Industry (23 papers), IoT and Edge/Fog Computing (17 papers) and Flexible and Reconfigurable Manufacturing Systems (16 papers). Pál Varga collaborates with scholars based in Hungary, Sweden and Spain. Pál Varga's co-authors include Gábor Soós, Csaba Hegedűs, Attila Frankó, Dániel Kozma, Dániel Ficzere, Jens Eliasson, Jerker Delsing, Sándor Molnár, Haider Dhia Zubaydi and Luís Lino Ferreira and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

In The Last Decade

Pál Varga

91 papers receiving 1.4k citations

Hit Papers

Leveraging Blockchain Technology for Ensuring Security an... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Leveraging Blockchain Technology for Ensuring Security and Privacy Aspects in Internet of Things: A Systematic Literature Review
    2023 95 citations Pál Varga et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pál Varga Hungary 19 645 458 392 314 170 98 1.5k
Martin Wollschlaeger Germany 11 817 1.3× 646 1.4× 381 1.0× 247 0.8× 253 1.5× 104 1.7k
Jens Eliasson Sweden 18 703 1.1× 380 0.8× 246 0.6× 383 1.2× 175 1.0× 66 1.2k
Marco Picone Italy 20 864 1.3× 302 0.7× 287 0.7× 434 1.4× 72 0.4× 95 1.4k
Hugh Boyes United Kingdom 8 407 0.6× 457 1.0× 120 0.3× 291 0.9× 175 1.0× 20 1.2k
Li Da Xu China 10 799 1.2× 194 0.4× 250 0.6× 470 1.5× 76 0.4× 12 1.4k
Shenglong Tang China 8 485 0.8× 579 1.3× 203 0.5× 154 0.5× 315 1.9× 10 1.3k
Ahmed Chiheb Ammari Tunisia 18 310 0.5× 450 1.0× 704 1.8× 301 1.0× 173 1.0× 67 1.9k
Zhaogang Shu China 7 649 1.0× 304 0.7× 207 0.5× 144 0.5× 124 0.7× 21 1.0k
Insup Lee United States 7 707 1.1× 321 0.7× 227 0.6× 279 0.9× 471 2.8× 10 1.8k
Ernesto Expósito France 15 684 1.1× 194 0.4× 282 0.7× 351 1.1× 45 0.3× 86 1.4k

Countries citing papers authored by Pál Varga

Since Specialization
Citations

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

Fields of papers citing papers by Pál Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pál Varga

This figure shows the co-authorship network connecting the top 25 collaborators of Pál Varga. A scholar is included among the top collaborators of Pál Varga 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 Pál Varga. Pál Varga 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
1.
2.
Varga, Pál, et al.. (2024). MLOps in CPS – a use-case for image recognition in changing industrial settings. 1–4. 2 indexed citations
3.
Ficzere, Dániel, et al.. (2024). AIMS5.0 AI Toolbox: Enabling Efficient Knowledge Sharing for Industrial AI. 1–6. 3 indexed citations
4.
Larrinaga, Félix, Pál Varga, William Ochoa, et al.. (2023). Investigation of Microservice-Based Workflow Management Solutions for Industrial Automation. Applied Sciences. 13(3). 1835–1835. 6 indexed citations
5.
6.
Varga, Pál, et al.. (2023). Detection strategies for post-pandemic DDoS profiles. Híradástechnika/Infocommunications journal. 15(4). 26–39. 1 indexed citations
7.
Hästbacka, David, et al.. (2023). External Token-Based Authorization of Data-Driven Integrations and Service Compositions in MQTT 5. Trepo - Institutional Repository of Tampere University. 74. 1–6. 1 indexed citations
8.
Varga, Pál, et al.. (2022). Converging Telco-Grade Solutions 5G and beyond to Support Production in Industry 4.0. Applied Sciences. 12(15). 7600–7600. 11 indexed citations
9.
Varga, Pál, et al.. (2022). Positioning in 5G and 6G Networks—A Survey. Sensors. 22(13). 4757–4757. 65 indexed citations
10.
Frankó, Attila, et al.. (2022). Applied Machine Learning for IIoT and Smart Production—Methods to Improve Production Quality, Safety and Sustainability. Sensors. 22(23). 9148–9148. 19 indexed citations
11.
Hegedűs, Csaba, Pál Varga, & Attila Frankó. (2021). A DevOps Approach for Cyber-Physical System-of-Systems Engineering through Arrowhead. Integrated Network Management. 902–907. 4 indexed citations
12.
Ficzere, Dániel, Gábor Soós, Pál Varga, & Zsolt Szalay. (2021). Real-life V2X Measurement Results for 5G NSA Performance on a High-speed Motorway. Integrated Network Management. 836–841. 7 indexed citations
13.
Varga, Pál, et al.. (2021). Modeling an Industrial Revolution: How to Manage Large-Scale, Complex IoT Ecosystems?. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 8 indexed citations
14.
Frankó, Attila, et al.. (2020). Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0. Sensors. 20(13). 3709–3709. 60 indexed citations
15.
Szalay, Zsolt, et al.. (2020). 5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach. Sensors. 20(24). 7344–7344. 38 indexed citations
16.
Varga, Pál, et al.. (2019). Utilizing Deep Learning for Mobile Telecommunications Network Management. Immunotechnology. 575–580. 3 indexed citations
17.
Varga, Pál, et al.. (2018). Time Synchronization Solution for FPGA-based Distributed Network Monitoring. Híradástechnika/Infocommunications journal. 1–9. 3 indexed citations
18.
Soós, Gábor, et al.. (2018). IoT Device Lifecycle – A Generic Model and a Use Case for Cellular Mobile Networks. 176–183. 11 indexed citations
19.
Varga, Pál, Dániel Kozma, & Csaba Hegedűs. (2018). Data-Driven Workflow Execution in Service Oriented IoT Architectures. 203–210. 12 indexed citations
20.
Hegedűs, Csaba, et al.. (2016). Organizing IoT Systems-of-Systems from standardized engineering data. KTH Publication Database DiVA (KTH Royal Institute of Technology). 5277–5282. 7 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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