• 2494 Citations
  • 24 h-Index
19972020

Research output per year

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Research Output

2020

A multilayer and spatial description of the Erasmus mobility network

Gadár, L., Kosztyán, Z. T., Telcs, A. & Abonyi, J., dec. 1 2020, In : Scientific Data. 7, 1, 41.

Research output: Article

Open Access

Application to the analysis of heat exchanger networks

Leitold, D., Vathy-Fogarassy, Á. & Abonyi, J., jan. 1 2020, SpringerBriefs in Computer Science. Springer, p. 49-69 21 p. (SpringerBriefs in Computer Science).

Research output: Chapter

Introduction

Leitold, D., Vathy-Fogarassy, Á. & Abonyi, J., jan. 1 2020, In : SpringerBriefs in Computer Science. p. 1-15 15 p.

Research output: Editorial

Mixtures of QSAR models: Learning application domains of pK a predicto rs

Dörgő, G., Péter Hamadi, O., Varga, T. & Abonyi, J., ápr. 1 2020, In : Journal of Chemometrics. 34, 4, e3223.

Research output: Article

Preface

Leitold, D., Vathy-Fogarassy, Á. & Abonyi, J., jan. 1 2020, In : SpringerBriefs in Computer Science. p. v-vi

Research output: Editorial

Reduction of relative degree by optimal control and sensor placement

Leitold, D., Vathy-Fogarassy, Á. & Abonyi, J., jan. 1 2020, SpringerBriefs in Computer Science. Springer, p. 27-48 22 p. (SpringerBriefs in Computer Science).

Research output: Chapter

Structural controllability and observability analysis in complex networks

Leitold, D., Vathy-Fogarassy, Á. & Abonyi, J., jan. 1 2020, SpringerBriefs in Computer Science. Springer, p. 17-26 10 p. (SpringerBriefs in Computer Science).

Research output: Chapter

Summary

Leitold, D., Vathy-Fogarassy, Á. & Abonyi, J., jan. 1 2020, SpringerBriefs in Computer Science. Springer, p. 83-85 3 p. (SpringerBriefs in Computer Science).

Research output: Chapter

The NOCAD MATLAB/Octave toolbox developed for the analysis of dynamical systems

Leitold, D., Vathy-Fogarassy, Á. & Abonyi, J., jan. 1 2020, SpringerBriefs in Computer Science. Springer, p. 71-81 11 p. (SpringerBriefs in Computer Science).

Research output: Chapter

2019

A Review of Semantic Sensor Technologies in Internet of Things Architectures

Honti, G. M. & Abonyi, J., 2019, In : Complexity. 2019, 6473160.

Research output: Review article

Open Access
1 Citation (Scopus)

Data-driven multilayer complex networks of sustainable development goals

Sebestyén, V., Bulla, M., Rédey, A. & Abonyi, J., aug. 1 2019, In : Data in Brief. 25, 104049.

Research output: Article

Open Access
1 Citation (Scopus)
4 Citations (Scopus)
Open Access
7 Citations (Scopus)

Frequent pattern mining in multidimensional organizational networks

Gadár, L. & Abonyi, J., dec. 1 2019, In : Scientific reports. 9, 1, 3322.

Research output: Article

Open Access
2 Citations (Scopus)

Genetic programming-based development of thermal runaway criteria

Kummer, A., Varga, T. & Abonyi, J., dec. 5 2019, In : Computers and Chemical Engineering. 131, 106582.

Research output: Article

1 Citation (Scopus)
Open Access
1 Citation (Scopus)
3 Citations (Scopus)

Network analysis dataset of system dynamics models

Honti, G., Dörgő, G. & Abonyi, J., dec. 2019, In : Data in Brief. 27, 104723.

Research output: Article

Open Access

Network-based observability and controllability analysis of dynamical systems: The NOCAD toolbox

Leitold, D., Vathy-Fogarassy, Á. & Abonyi, J., jan. 1 2019, In : F1000Research. 8, 646.

Research output: Article

Open Access
1 Citation (Scopus)
4 Citations (Scopus)

Operating regime model based multi-objective sensor placement for data reconciliation

Dorgo, G., Haragovics, M. & Abonyi, J., 2019, Computer Aided Chemical Engineering. Elsevier B.V., p. 1027-1032 6 p. (Computer Aided Chemical Engineering; vol. 46).

Research output: Chapter

P-graph-based multi-objective risk analysis and redundancy allocation in safety-critical energy systems

Süle, Z., Baumgartner, J., Dörgő, G. & Abonyi, J., júl. 15 2019, In : Energy. 179, p. 989-1003 15 p.

Research output: Article

4 Citations (Scopus)

Review and structural analysis of system dynamics models in sustainability science

Honti, G., Dörgő, G. & Abonyi, J., dec. 10 2019, In : Journal of Cleaner Production. 240, 118015.

Research output: Article

4 Citations (Scopus)

Test-sequence optimisation by survival analysis

Baumgartner, J., Süle, Z., Bertók, B. & Abonyi, J., jún. 13 2019, In : Central European Journal of Operations Research. 27, 2, p. 357-375 19 p.

Research output: Article

1 Citation (Scopus)
2018

Automated analysis of the interactions between sustainable development goals extracted from models and texts of sustainability science

Dorgo, G., Honti, G. & Abonyi, J., jan. 1 2018, 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018. Czech Society of Chemical Engineering, p. 802-803 2 p. (23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018; vol. 2).

Research output: Conference contribution

5 Citations (Scopus)

Design-oriented structural controllability and observability analysis of Heat Exchanger Networks

Leitold, D., Vathy-Fogarassy, A. & Abonyi, J., jan. 1 2018, In : Chemical Engineering Transactions. 70, p. 595-600 6 p.

Research output: Article

6 Citations (Scopus)

Enabling technologies for operator 4.0: A survey

Ruppert, T., Jaskó, S., Holczinger, T. & Abonyi, J., szept. 13 2018, In : Applied Sciences (Switzerland). 8, 9, 1650.

Research output: Article

14 Citations (Scopus)
6 Citations (Scopus)

Graph configuration model based evaluation of the education-occupation match

Gadar, L. & Abonyi, J., márc. 2018, In : PloS one. 13, 3, e0192427.

Research output: Article

2 Citations (Scopus)

Hierarchical frequent sequence mining algorithm for the analysis of alarm cascades in chemical processes

Dorgo, G., Varga, K. & Abonyi, J., aug. 31 2018, (Accepted/In press) In : IEEE Access.

Research output: Article

3 Citations (Scopus)

Industrial internet of things based cycle time control of assembly lines

Ruppert, T. & Abonyi, J., márc. 26 2018, 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-4 4 p.

Research output: Conference contribution

6 Citations (Scopus)

Learning operation strategies from alarm management systems by temporal pattern mining and deep learning

Dorgo, G., Pigler, P., Haragovics, M. & Abonyi, J., jan. 1 2018, Computer Aided Chemical Engineering. Elsevier B.V., p. 1003-1008 6 p. (Computer Aided Chemical Engineering; vol. 43).

Research output: Chapter

2 Citations (Scopus)

Multilayer network-based production flow analysis

Ruppert, T., Honti, G. & Abonyi, J., 2018, In : Complexity. 2018, 6203754.

Research output: Article

Open Access
2 Citations (Scopus)
9 Citations (Scopus)

Reliability - Redundancy allocation in process graphs

Süle, Z., Baumgartner, J. & Abonyi, J., jan. 1 2018, In : Chemical Engineering Transactions. 70, p. 991-996 6 p.

Research output: Article

5 Citations (Scopus)

RFID-based task time analysis for shop floor optimization

Leitold, D., Vathy-Fogarassy, A., Varga, K. & Abonyi, J., márc. 26 2018, 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-6 6 p.

Research output: Conference contribution

1 Citation (Scopus)
5 Citations (Scopus)
1 Citation (Scopus)

Towards Operator 4.0, increasing production cfficicncy and reducing operator workload by process mining of alarm data

Varga, K., Dorgo, G., Haragovics, M., Szab, T. & Abonyi, J., jan. 1 2018, 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018. Czech Society of Chemical Engineering, p. 932-933 2 p. (23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018; vol. 2).

Research output: Conference contribution

Towards operator 4.0, increasing production efficiency and reducing operator workload by process mining of alarm data

Dörgo, G., Varga, K., Haragovics, M., Szabó, T. & Abonyi, J., jan. 1 2018, In : Chemical Engineering Transactions. 70, p. 829-834 6 p.

Research output: Article

1 Citation (Scopus)
6 Citations (Scopus)
2017

Controllability and observability in complex networks – the effect of connection types

Leitold, D., Vathy-Fogarassy, Á. & Abonyi, J., jan. 1 2017, In : Scientific reports. 7, 1, 151.

Research output: Article

22 Citations (Scopus)

Multi-temporal sequential pattern mining based improvement of alarm management systems

Karoly, R. & Abonyi, J., febr. 6 2017, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3870-3875 6 p. 7844838

Research output: Conference contribution

8 Citations (Scopus)
2016
8 Citations (Scopus)

Multiobjective optimization for efficient energy utilization in batch biodiesel production

Tóth, L. R., Torgyik, T., Nagy, L. & Abonyi, J., jan. 1 2016, In : Clean Technologies and Environmental Policy. 18, 1, p. 95-104 10 p.

Research output: Article

6 Citations (Scopus)

Multivariate statistical and computational intelligence techniques for quality monitoring of production systems

Kulcsár, T., Farsang, B., Németh, S. & Abonyi, J., jan. 1 2016, In : Intelligent Systems Reference Library. 97, p. 237-263 27 p.

Research output: Article

1 Citation (Scopus)

Scalable co-clustering using a crossing minimization - Application to production flow analysis

Pigler, C., Fogarassy-Vathy, Á. & Abonyi, J., 2016, In : Acta Polytechnica Hungarica. 13, 2, p. 209-228 20 p.

Research output: Article

2 Citations (Scopus)
2015

Interpretability of computational intelligence-based regression models

Kenesei, T. & Abonyi, J., jan. 1 2015, SpringerBriefs in Computer Science. 9783319219417 ed. Springer, p. 1-82 82 p. (SpringerBriefs in Computer Science; no. 9783319219417).

Research output: Chapter

Interpretability of hinging hyperplanes

Kenesei, T. & Abonyi, J., jan. 1 2015, SpringerBriefs in Computer Science. 9783319219417 ed. Springer, p. 9-32 24 p. (SpringerBriefs in Computer Science; no. 9783319219417).

Research output: Chapter