János Abonyi

7.1k total citations · 1 hit paper
267 papers, 4.4k citations indexed

About

János Abonyi is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, János Abonyi has authored 267 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Control and Systems Engineering, 61 papers in Artificial Intelligence and 55 papers in Industrial and Manufacturing Engineering. Recurrent topics in János Abonyi's work include Fault Detection and Control Systems (72 papers), Advanced Control Systems Optimization (49 papers) and Digital Transformation in Industry (29 papers). János Abonyi is often cited by papers focused on Fault Detection and Control Systems (72 papers), Advanced Control Systems Optimization (49 papers) and Digital Transformation in Industry (29 papers). János Abonyi collaborates with scholars based in Hungary, Netherlands and United States. János Abonyi's co-authors include Ferenc Szeifert, Tamás Ruppert, Robert Babuška, Balázs Feil, Viktor Sebestyén, Gyula Dörgő, Szilárd Jaskó, Tibor Holczinger, Sándor Németh and Lajos Nagy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

János Abonyi

248 papers receiving 4.1k citations

Hit Papers

Current development on the Operator 4.0 and transition to... 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. Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0
    2023 98 citations Tuan-anh Tran, János Abonyi et al. Journal of Manufacturing Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
János Abonyi Hungary 35 1.2k 1.1k 870 315 273 267 4.4k
R.J. Kuo Taiwan 42 1.7k 1.4× 615 0.5× 1.1k 1.2× 455 1.4× 315 1.2× 160 5.8k
Myong K. Jeong United States 30 801 0.6× 780 0.7× 339 0.4× 287 0.9× 166 0.6× 133 3.3k
José Luís Verdegay Spain 39 2.2k 1.8× 2.7k 2.4× 666 0.8× 322 1.0× 128 0.5× 164 7.8k
Ruhul Sarker Australia 48 3.5k 2.9× 891 0.8× 1.4k 1.6× 823 2.6× 332 1.2× 294 8.1k
Yi Liu China 37 991 0.8× 1.4k 1.3× 365 0.4× 532 1.7× 874 3.2× 264 5.5k
W.H. Ip Hong Kong 38 746 0.6× 524 0.5× 1.4k 1.6× 333 1.1× 144 0.5× 353 6.0k
Evangelos Triantaphyllou United States 23 975 0.8× 782 0.7× 327 0.4× 242 0.8× 161 0.6× 74 5.5k
Bo Yuan China 19 2.4k 1.9× 861 0.8× 233 0.3× 531 1.7× 207 0.8× 79 6.4k
Ripon K. Chakrabortty Australia 46 1.8k 1.4× 773 0.7× 856 1.0× 1.5k 4.6× 123 0.5× 206 6.0k
Pei‐Chann Chang Taiwan 49 2.0k 1.6× 506 0.5× 2.0k 2.3× 722 2.3× 115 0.4× 200 6.2k

Countries citing papers authored by János Abonyi

Since Specialization
Citations

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

Fields of papers citing papers by János Abonyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of János Abonyi

This figure shows the co-authorship network connecting the top 25 collaborators of János Abonyi. A scholar is included among the top collaborators of János Abonyi 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 János Abonyi. János Abonyi 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.
Abonyi, János, et al.. (2025). Surrogate-based flowsheet model maintenance for Digital Twins. Digital Chemical Engineering. 15. 100228–100228.
2.
Sebestyén, Viktor, et al.. (2025). Key factors of industry 5.0-based organizational sustainability. Technology in Society. 83. 102966–102966. 1 indexed citations
3.
Bagyura, Zsolt, et al.. (2024). Time-dependent frequent sequence mining-based survival analysis. Knowledge-Based Systems. 296. 111885–111885. 2 indexed citations
4.
Abonyi, János, et al.. (2024). Machine Learning-Supported Designing of Human–Machine Interfaces. Applied Sciences. 14(4). 1564–1564. 3 indexed citations
5.
6.
Schlund, Sebastian, et al.. (2024). Human-Centered Task Allocation: A Simulation-Based Case Study. IFAC-PapersOnLine. 58(19). 67–72.
7.
Jaskó, Szilárd, et al.. (2024). Extension of HAAS for the Management of Cognitive Load. IEEE Access. 12. 16559–16572. 8 indexed citations
8.
9.
Abonyi, János, et al.. (2023). Frequent pattern mining-based log file partition for process mining. Engineering Applications of Artificial Intelligence. 123. 106221–106221. 3 indexed citations
10.
Tran, Tuan-anh, Tamás Ruppert, György Eigner, & János Abonyi. (2023). Assessing human worker performance by pattern mining of Kinect sensor skeleton data. Journal of Manufacturing Systems. 70. 538–556. 10 indexed citations
11.
12.
Vathy-Fogarassy, Ágnes, et al.. (2018). Design-Oriented Structural Controllability and Observability Analysis of Heat Exchanger Networks. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Abonyi, János, et al.. (2018). Reliability - Redundancy Allocation in Process Graphs. SHILAP Revista de lepidopterología. 5 indexed citations
14.
Dörgő, Gyula, et al.. (2018). Towards Operator 4.0, Increasing Production Efficiency and Reducing Operator Workload by Process Mining of Alarm Data. SHILAP Revista de lepidopterología. 4 indexed citations
15.
Dörgő, Gyula, et al.. (2018). Automated Analysis of the Interactions Between Sustainable Development Goals Extracted from Models and Texts of Sustainability Science. SHILAP Revista de lepidopterología. 11 indexed citations
16.
Abonyi, János, et al.. (2016). Scalable co-Clustering using a Crossing Minimization ? Application to Production Flow Analysis. Acta Polytechnica Hungarica. 13(2). 5 indexed citations
17.
Németh, Sándor, et al.. (2015). PCA Based Data Reconciliation in Soft Sensor Development. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Nagy, László, et al.. (2014). Feature Selection Based Root Cause Analysis for Energy Monitoring and Targeting. SHILAP Revista de lepidopterología. 4 indexed citations
19.
Dobos, László & János Abonyi. (2010). Controller Tuning of District Heating Networks Using Experiment Design Techniques.. SHILAP Revista de lepidopterología.
20.
Abonyi, János, Tibor Chován, & Ferenc Szeifert. (2001). Identification of Nonlinear Systems using Gaussian Mixture of Local Models. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 5 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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