Janos Abonyi

Janos Abonyi

Pannon Egyetem

H-index: 43

Europe-Hungary

About Janos Abonyi

Janos Abonyi, With an exceptional h-index of 43 and a recent h-index of 31 (since 2020), a distinguished researcher at Pannon Egyetem, specializes in the field of data science, computational intelligence, process systems engineering, network science, sustainability.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine Learning-Supported Designing of Human–Machine Interfaces

Analysis and Clustering-based Improvement of Particle Filter Optimization Algorithms

Time-dependent sequential association rule-based survival analysis: A healthcare application

Introduction to the Industrial Application of Semantic Technologies

Problem Statement of Network Science-Based Process Optimization

Fault Diagnostics Based on the Analysis of Probability Distributions Estimated Using a Particle Filter

Machine learning-based decision support framework for CBRN protection

Particle filtering supported probability density estimation of mobility patterns

Janos Abonyi Information

University

Position

___

Citations(all)

8874

Citations(since 2020)

3590

Cited By

5763

hIndex(all)

43

hIndex(since 2020)

31

i10Index(all)

150

i10Index(since 2020)

87

Email

University Profile Page

Pannon Egyetem

Google Scholar

View Google Scholar Profile

Janos Abonyi Skills & Research Interests

data science

computational intelligence

process systems engineering

network science

sustainability

Top articles of Janos Abonyi

Title

Journal

Author(s)

Publication Date

Machine Learning-Supported Designing of Human–Machine Interfaces

Applied Sciences

László Bántay

János Abonyi

2024/2/15

Analysis and Clustering-based Improvement of Particle Filter Optimization Algorithms

IEEE Access

Éva Kenyeres

János Abonyi

2024/4/17

Time-dependent sequential association rule-based survival analysis: A healthcare application

MethodsX

Róbert Csalódi

Zsolt Bagyura

János Abonyi

2024/6/1

Introduction to the Industrial Application of Semantic Technologies

János Abonyi

László Nagy

Tamás Ruppert

2024/1/1

Problem Statement of Network Science-Based Process Optimization

János Abonyi

László Nagy

Tamás Ruppert

2024/1/1

Fault Diagnostics Based on the Analysis of Probability Distributions Estimated Using a Particle Filter

Sensors

András Darányi

János Abonyi

2024/1/23

Machine learning-based decision support framework for CBRN protection

Heliyon

Tamás Kegyes

Zoltán Süle

János Abonyi

2024/2/9

Particle filtering supported probability density estimation of mobility patterns

Heliyon

András Darányi

Tamás Ruppert

János Abonyi

2024/4/12

Time-dependent frequent sequence mining-based survival analysis

Knowledge-Based Systems

Róbert Csalódi

Zsolt Bagyura

Ágnes Vathy-Fogarassy

János Abonyi

2024/5/2

Network Community Detection Algorithm for Graph Networks

János Abonyi

László Nagy

Tamás Ruppert

2024/1/1

Data Sharing in Industry 4.0—AutomationML, B2MML and International Data Spaces-Based Solutions

János Abonyi

László Nagy

Tamás Ruppert

2024/1/1

Objective well-being level (OWL) composite indicator for sustainable and resilient cities

Ecological Indicators

Viktor Sebestyén

Attila János Trájer

Endre Domokos

András Torma

János Abonyi

2024/1/1

Neighborhood ranking-based feature selection

IEEE Access

Ádám Ipkovich

János Abonyi

2024/2/5

Generally Applicable Q-Table Compression Method and Its Application for Constrained Stochastic Graph Traversal Optimization Problems

Information

Tamás Kegyes

Alex Kummer

Zoltán Süle

János Abonyi

2024/3/31

Iterative Experimental Design and Identifiability Analysis of Composite Material Failure Models

Heliyon

Ádám Ipkovich

Alex Kummer

László Kovács

Balázs Fodor

János Abonyi

2024/4/23

Source List for Semantic-Based Modeling, Utilization of Graph Databases and Graph-Based Optimization of Manufacturing Systems

János Abonyi

László Nagy

Tamás Ruppert

2024/1/1

Knowledge Graph-Based Framework to Support the Human-Centric Approach

János Abonyi

László Nagy

Tamás Ruppert

2024/1/1

Ontology-Based Development of Industry 4.0 and 5.0 Solutions for Smart Manufacturing and Production: Knowledge Graph and Semantic Based Modeling and Optimization of Complex Systems

János Abonyi

László Nagy

Tamás Ruppert

2024

Measuring factors affecting local loyalty based on a correlation network

Cities

László Gadár

Mariann Szabó

Zoltán Lantos

János Abonyi

2024/2/1

Disassembly line optimization with reinforcement learning

Central European Journal of Operations Research

Tamás Kegyes

Zoltán Süle

János Abonyi

2024/3/9

See List of Professors in Janos Abonyi University(Pannon Egyetem)

Co-Authors

H-index: 71
Robert Babuska

Robert Babuska

Technische Universiteit Delft

H-index: 16
Endre Domokos

Endre Domokos

Pannon Egyetem

H-index: 15
Dr. Viktor Sebestyén

Dr. Viktor Sebestyén

Pannon Egyetem

H-index: 14
Ágnes Vathy-Fogarassy, PhD

Ágnes Vathy-Fogarassy, PhD

Pannon Egyetem

H-index: 14
Chovan Tibor

Chovan Tibor

Pannon Egyetem

H-index: 13
Tamás Varga

Tamás Varga

Pannon Egyetem

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