Peter Pálenský

9.4k total citations · 3 hit papers
294 papers, 6.2k citations indexed

About

Peter Pálenský is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Peter Pálenský has authored 294 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Electrical and Electronic Engineering, 170 papers in Control and Systems Engineering and 46 papers in Computer Networks and Communications. Recurrent topics in Peter Pálenský's work include Smart Grid Security and Resilience (74 papers), Microgrid Control and Optimization (65 papers) and Smart Grid Energy Management (60 papers). Peter Pálenský is often cited by papers focused on Smart Grid Security and Resilience (74 papers), Microgrid Control and Optimization (65 papers) and Smart Grid Energy Management (60 papers). Peter Pálenský collaborates with scholars based in Netherlands, Austria and Norway. Peter Pálenský's co-authors include Dietmar Dietrich, E. Widl, Atiyah Elsheikh, Saeed Peyghami, Frede Blaabjerg, Kaikai Pan, Alexandru Ştefanov, José L. Rueda, Dick Epema and Vetrivel Subramaniam Rajkumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Peter Pálenský

266 papers receiving 5.9k citations

Hit Papers

align trajectories

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.

Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads

2011 2.1k citations Peter Pálenský et al. profile →
A novel decentralized platform for peer-to-peer energy trading market with blockchain technology

2020 295 citations Peter Pálenský et al. Applied Energy profile →
Attack Graph Model for Cyber-Physical Power Systems Using Hybrid Deep Learning

2023 92 citations Alfan Presekal, Alexandru Ştefanov et al. IEEE Transactions on Smart Grid profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Pálenský Netherlands	31	4.5k	3.3k	715	668	547	294	6.2k
Manisa Pipattanasomporn United States	39	5.6k 1.2×	2.8k 0.8×	677 0.9×	937 1.4×	1.2k 2.1×	114	6.7k
Nian Liu China	40	5.7k 1.3×	3.4k 1.0×	464 0.6×	482 0.7×	280 0.5×	265	6.8k
Qinglai Guo China	48	6.9k 1.5×	3.3k 1.0×	406 0.6×	469 0.7×	376 0.7×	342	7.9k
Yi Ding China	49	6.0k 1.3×	2.5k 0.7×	225 0.3×	564 0.8×	433 0.8×	345	8.4k
Ross Baldick United States	49	8.5k 1.9×	3.4k 1.0×	611 0.9×	486 0.7×	246 0.4×	235	10.1k
Qixin Chen China	38	5.8k 1.3×	1.9k 0.6×	251 0.4×	620 0.9×	445 0.8×	186	6.9k
Fengji Luo Australia	39	4.7k 1.0×	3.4k 1.0×	1.5k 2.1×	419 0.6×	612 1.1×	143	6.8k
Junhua Zhao China	44	6.0k 1.3×	3.8k 1.1×	1.4k 1.9×	464 0.7×	404 0.7×	218	8.2k
Anurag K. Srivastava United States	44	5.6k 1.2×	4.8k 1.4×	986 1.4×	352 0.5×	131 0.2×	387	7.5k
Hamed Mohsenian‐Rad United States	41	4.5k 1.0×	2.9k 0.9×	956 1.3×	414 0.6×	162 0.3×	135	5.5k

Countries citing papers authored by Peter Pálenský

Since Specialization

Citations

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

Fields of papers citing papers by Peter Pálenský

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Pálenský

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Pálenský. A scholar is included among the top collaborators of Peter Pálenský 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 Peter Pálenský. Peter Pálenský is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pálenský, Peter, et al.. (2025). Incorporating Risk in Operational Water Resources Management: Probabilistic Forecasting, Scenario Generation, and Optimal Control. Water Resources Research. 61(3).

Giraldo, Juan S., et al.. (2025). A siamese neural network model for phase identification in distribution networks. International Journal of Electrical Power & Energy Systems. 169. 110718–110718. 1 indexed citations

Stoter, Jantien, Miloš Cvetković, Peter Pálenský, et al.. (2025). Energy management and stochastic operations planning for electrified container terminals with uncertain energy supply and demand. Journal of Cleaner Production. 527. 146383–146383.

Möller, Matthias, et al.. (2024). Power flow analysis using quantum and digital annealers: a discrete combinatorial optimization approach. Scientific Reports. 14(1). 23216–23216. 1 indexed citations

Rajkumar, Vetrivel Subramaniam, et al.. (2024). Towards Real-Time Distinction of Power System Faults and Cyber Attacks on Digital Substations Using Cyber-Physical Event Correlation. 1–6. 2 indexed citations

Tindemans, Simon H., et al.. (2024). Stable training of probabilistic models using the leave-one-out maximum log-likelihood objective. Electric Power Systems Research. 235. 110775–110775. 2 indexed citations

Presekal, Alfan, et al.. (2024). Cyber Security of HVDC Systems: A Review of Cyber Threats, Defense, and Testbeds. IEEE Access. 12. 165756–165773.

Li, Shuting, et al.. (2024). Active filter parameter tuning method for harmonic voltage mitigation in wind power plants. Electric Power Systems Research. 234. 110726–110726. 1 indexed citations

Pan, Kaikai, et al.. (2024). Real-Time Estimation and Defense of PV Inverter Sensor Attacks With Hardware Implementation. IEEE Transactions on Industrial Electronics. 72(3). 3228–3232. 3 indexed citations

10.

Möller, Matthias, et al.. (2024). Quantum neural networks for power flow analysis. Electric Power Systems Research. 235. 110677–110677. 8 indexed citations

11.

Ştefanov, Alexandru, et al.. (2024). Power System Stability Analysis From Cyber Attacks Perspective. IEEE Access. 12. 113008–113035. 5 indexed citations

12.

Li, Shuting, et al.. (2024). Hierarchical online energy management for residential microgrids with Hybrid hydrogen–electricity Storage System. Applied Energy. 363. 123020–123020. 18 indexed citations

13.

González-Longatt, Francisco, et al.. (2023). Cyber-Physical Testbed Co-Simulation Real-Time: Normal and Abnormal System Frequency Response. IEEE Transactions on Industry Applications. 60(2). 2643–2652. 12 indexed citations

14.

Nooijen, Ronald van, et al.. (2022). Multi-market demand response from pump-controlled open canal systems: an economic MPC approach to pump-scheduling. Journal of Hydroinformatics. 24(4). 838–855. 2 indexed citations

15.

Ramos, Carlos, Zita Vale, Peter Pálenský, & Hiroaki Nishi. (2021). Sustainable Energy Consumption. Energies. 14(20). 6665–6665. 2 indexed citations

16.

Kılıç, Heybet, et al.. (2021). A Robust Data-Driven Approach for Fault Detection in Photovoltaic Arrays. Research Repository (Delft University of Technology). 4 indexed citations

17.

Syed, Mazheruddin, Efrén Guilló-Sansano, Yu Wang, et al.. (2020). Real-Time Coupling of Geographically Distributed Research Infrastructures: Taxonomy, Overview, and Real-World Smart Grid Applications. IEEE Transactions on Smart Grid. 12(2). 1747–1760. 27 indexed citations

18.

Rueda, José L., et al.. (2020). Optimal Tuning of Active Power Gradient Control for Frequency Support in Multi-Energy Systems. Duo Research Archive (University of Oslo). 889–893. 2 indexed citations

19.

Gawlik, Wolfgang, et al.. (2015). Hybrid Simulation Using SAHISim Framework. 3(9). 2 indexed citations

20.

Städler, Michael, Friederich Kupzog, & Peter Pálenský. (2007). DISTRIBUTED ENERGY RESOURCE ALLOCATION AND DISPATCH: AN ECONOMIC AND TECHNOLOGICAL PERCEPTION. Int. J. Electron. Bus. Manag.. 5. 182–196. 8 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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