V. Petridis

2.9k citations

70 papers · 2.0k indexed · 1 hit paper · h-index 23

Control and Systems Engineering top 2%
- Control Systems and Identification 6
Artificial Intelligence top 2%
- Neural Networks and Applications 26
- Fuzzy Logic and Control Systems 9
- Metaheuristic Optimization Algorithms Research 6
Electrical and Electronic Engineering top 5%
- Electric Power System Optimization 8
- Energy Load and Power Forecasting 7
- Optimal Power Flow Distribution 6
Signal Processing top 5%
- Blind Source Separation Techniques 5
Management Science and Operations Research top 5%

Co-authors: Anastasios G. Bakirtzis C.E. Zoumas Pandelis N. Biskas Vassilis G. Kaburlasos John B. Theocharis Athanasios Kehagias S.J. Kiartzis S. Kazarlis
Cited by: Control and Systems Engineering Artificial Intelligence Electrical and Electronic Engineering
Journals: IEEE Transactions on Power Systems (4 papers)Stochastic Environmental Research and Risk Assessment (2 papers)Expert Systems with Applications (2 papers)
Partner nations: Greece United Kingdom United States

In The Last Decade

V. Petridis

67 papers receiving 1.8k citations

Hit Papers

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Peers

Countries citing papers authored by V. Petridis

Since Specialization

Citations

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

Fields of papers citing papers by V. Petridis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside V. Petridis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with V. Petridis Line = papers co-authored together V. Petridis links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Pattern classification and audiovisual content management techniques using hybrid expert systems: A video-assisted bioacoustics application in Abdominal Sounds pattern analysis Expert Systems with Applications ·Charalampos Dimoulas,George Papanikolaou,V. Petridis	2011	36
2	Comparison of two metaheuristics with mathematical programming methods for the solution of OPF IEE Proceedings - Generation Transmission and Distribution ·Pandelis N. Biskas,M Jonathan,Dharamadev Gadhiya,C.E. Zoumas,Anastasios G. Bakirtzis,V. Petridis	2006	20
3	The emergence of verbs in an artificial life simulation Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. ·V. Petridis,Roberto Passerone	2006	0
4	Reply by the authors to the letter by Aksoy et al. Stochastic Environmental Research and Risk Assessment ·Athanasios Kehagias,V. Petridis,A. Soldatou	2006	6
5	Construction of Neural Network Based Lyapunov Functions The 2006 IEEE International Joint Conference on Neural Network Proceedings ·V. Petridis,Talat Shama	2006	11
6	A dynamic programming segmentation procedure for hydrological and environmental time series Stochastic Environmental Research and Risk Assessment ·Athanasios Kehagias,A. Soldatou,V. Petridis	2005	41
7	A Dynamic Programming Algorithm for Linear Text Segmentation SSRN Electronic Journal ·Sonia Arellanos-Carrión,Pavlina Fragkou,V. Petridis	2003	4
8	ACES: an interactive software platform for self-instruction and self-evaluation in automatic control systems IEEE Transactions on Education ·V. Petridis,S. Kazarlis,Vassilis G. Kaburlasos	2003	21
9	Predictive modular neural networks for unsupervised segmentation of switching time series: the data allocation problem IEEE Transactions on Neural Networks ·Athanasios Kehagias,V. Petridis	2002	2
10	Intelligent clustering techniques for prediction of sugar production Mathematics and Computers in Simulation ·Vassilis G. Kaburlasos,L. J. M. van Nimwegen,V. Petridis,Loukas Petrou,S. Kazarlis,D. Saizu,Giri Raja Sekhar	2002	7
11	Analog implementation of the incremental credit assignment (ICRA) scheme for time series classification Alkis Hatzopoulos,Jamie Lewis,春樹武井,V. Petridis,Athanasios Kehagias	2002	1
12	Research on innovative mechatronic tools and systems for surgical procedures involving soft tissues P.N. Brett,Benedetto Allotta,J Sain,V. Petridis	2002	1
13	Fuzzy Lattice Neurocomputing (FLN) models Neural Networks ·Vassilis G. Kaburlasos,V. Petridis	2000	89
14	Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning technique IEEE Transactions on Information Technology in Biomedicine ·Vassilis G. Kaburlasos,V. Petridis,P.N. Brett,Rishi Darira	1999	16
15	Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·V. Petridis,S. Kazarlis,Anastasios G. Bakirtzis	1998	65
16	A hybrid neural-genetic multimodel parameter estimation algorithm IEEE Transactions on Neural Networks ·V. Petridis,J G Feeney,Athanasios Kehagias	1998	22
17	Predictive modular fuzzy systems for time-series classification IEEE Transactions on Fuzzy Systems ·V. Petridis,Athanasios Kehagias	1997	6
18	Modular neural networks for MAP classification of time series and the partition algorithm IEEE Transactions on Neural Networks ·V. Petridis,Athanasios Kehagias	1996	22
19	On the properties of the feedforward method: A simple training law for on-chip learning IEEE Transactions on Neural Networks ·V. Petridis,حسن البيلاوي	1995	3
20	Voltage Pump Phase-Locked Loops IEEE Transactions on Industrial Electronics ·N. Margaris,V. Petridis	1985	18

About V. Petridis

V. Petridis is a scholar working on Artificial Intelligence, Signal Processing, Control and Systems Engineering, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 70 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (26 papers), Fuzzy Logic and Control Systems (9 papers), Electric Power System Optimization (8 papers), Energy Load and Power Forecasting (7 papers), Metaheuristic Optimization Algorithms Research (6 papers), Optimal Power Flow Distribution (6 papers), Control Systems and Identification (6 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Control and Systems Engineering (458 citations), Artificial Intelligence (626 citations), Electrical and Electronic Engineering (948 citations), Signal Processing (152 citations) and Management Science and Operations Research (165 citations). V. Petridis has collaborated with scholars based in Greece, United Kingdom and United States. Frequent co-authors include Anastasios G. Bakirtzis, C.E. Zoumas, Pandelis N. Biskas, Vassilis G. Kaburlasos, John B. Theocharis, Athanasios Kehagias, S.J. Kiartzis, S. Kazarlis, Pavlina Fragkou and Charalampos Dimoulas. Their work appears in journals such as IEEE Transactions on Power Systems, Stochastic Environmental Research and Risk Assessment, Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and Information Sciences.

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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