Daniela Chrenko

1.0k total citations
49 papers, 715 citations indexed

About

Daniela Chrenko is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Daniela Chrenko has authored 49 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 38 papers in Automotive Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in Daniela Chrenko's work include Advanced Battery Technologies Research (26 papers), Electric and Hybrid Vehicle Technologies (23 papers) and Electric Vehicles and Infrastructure (22 papers). Daniela Chrenko is often cited by papers focused on Advanced Battery Technologies Research (26 papers), Electric and Hybrid Vehicle Technologies (23 papers) and Electric Vehicles and Infrastructure (22 papers). Daniela Chrenko collaborates with scholars based in France, Germany and Malaysia. Daniela Chrenko's co-authors include Alexandre Ravey, Yu Wu, Abdellatif Miraoui, Luis Le Moyne, Fei Gao, Yigeng Huangfu, David Bouquain, Ziliang Wang, Reiner Kriesten and El‐Hassane Aglzim and has published in prestigious journals such as Journal of Power Sources, International Journal of Hydrogen Energy and Energy Conversion and Management.

In The Last Decade

Daniela Chrenko

48 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Chrenko France 13 555 453 156 85 74 49 715
Imad Matraji France 12 641 1.2× 422 0.9× 247 1.6× 197 2.3× 82 1.1× 21 857
Stéphane Caux France 12 487 0.9× 290 0.6× 116 0.7× 32 0.4× 137 1.9× 32 616
Shuang Gao China 16 1.3k 2.3× 881 1.9× 398 2.6× 61 0.7× 66 0.9× 59 1.4k
Zhidan Zhong China 8 292 0.5× 165 0.4× 154 1.0× 154 1.8× 53 0.7× 39 446
Renyou Xie China 11 462 0.8× 238 0.5× 138 0.9× 111 1.3× 27 0.4× 29 555
Xiao Qi China 12 321 0.6× 213 0.5× 150 1.0× 27 0.3× 147 2.0× 33 505
Yuanzhe Zhao China 11 368 0.7× 168 0.4× 84 0.5× 63 0.7× 76 1.0× 28 491
Farhad Ilahi Bakhsh India 13 615 1.1× 211 0.5× 250 1.6× 164 1.9× 27 0.4× 117 800
Madhuri A. Chaudhari India 16 610 1.1× 191 0.4× 310 2.0× 69 0.8× 46 0.6× 82 738

Countries citing papers authored by Daniela Chrenko

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Chrenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Chrenko

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Chrenko. A scholar is included among the top collaborators of Daniela Chrenko 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 Daniela Chrenko. Daniela Chrenko 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.
Chrenko, Daniela, et al.. (2024). Sliding Mode Control of an Electric Vehicle Driven by a New Powertrain Technology Based on a Dual-Star Induction Machine. World Electric Vehicle Journal. 15(4). 155–155. 4 indexed citations
2.
Kriesten, Reiner, et al.. (2023). Approach for a Global Route-Based Energy Management System for Electric Vehicles with a Hybrid Energy Storage System. Energies. 16(2). 837–837. 4 indexed citations
3.
Steiner, Nadia Yousfi, et al.. (2023). Genetic Algorithm and Taguchi Method: An Approach for Better Li-Ion Cell Model Parameter Identification. Batteries. 9(2). 72–72. 8 indexed citations
4.
Depernet, Daniel, et al.. (2023). State of temperature detection of Li-ion batteries by intelligent gray box model. Journal of Power Sources. 585. 233624–233624. 10 indexed citations
5.
Chrenko, Daniela, et al.. (2023). How Can Sustainable Business Models and Innovative Value Chains Accelerate the Transformation of Electric Vehicles?. Transportation research procedia. 70. 83–90. 3 indexed citations
6.
Wu, Yu, Ziliang Wang, Yigeng Huangfu, et al.. (2022). Hierarchical Operation of Electric Vehicle Charging Station in Smart Grid Integration Applications — An Overview. International Journal of Electrical Power & Energy Systems. 139. 108005–108005. 100 indexed citations
7.
Chrenko, Daniela, et al.. (2022). Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model. Applied Sciences. 12(13). 6557–6557. 7 indexed citations
8.
Gechter, Franck, et al.. (2021). Autonomous Electric Vehicle Routing Problem using Ant Colony Optimization with consideration of the Battery State-of-Health. HAL (Le Centre pour la Communication Scientifique Directe). 9. 475–480. 1 indexed citations
9.
Chrenko, Daniela, et al.. (2020). Energetic macroscopic representation and inversion based control of fuel cell in a series hybrid race vehicle system. International Journal of Electric and Hybrid Vehicles. 12(3). 197–197. 1 indexed citations
11.
Chrenko, Daniela, et al.. (2020). Energetic macroscopic representation and inversion based control of fuel cell in a series hybrid race vehicle system. International Journal of Electric and Hybrid Vehicles. 12(3). 197–197. 3 indexed citations
12.
Mazali, Izhari Izmi, et al.. (2019). Recent Studies on Lithium-ion Battery Thermal Behaviour for Electric and Hybrid Electric Vehicles: A Review. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
13.
Wu, Yu, Yigeng Huangfu, Rui Ma, Alexandre Ravey, & Daniela Chrenko. (2018). A strong robust DC-DC converter of all-digital high-order sliding mode control for fuel cell power applications. Journal of Power Sources. 413. 222–232. 51 indexed citations
14.
Chrenko, Daniela, et al.. (2017). Predictive Energy Management for Hybrid Vehicles Based on Driving Cycle Recognition. HAL (Le Centre pour la Communication Scientifique Directe). 15. 1–4. 3 indexed citations
15.
Chrenko, Daniela. (2015). Influence of hybridisation on eco‐driving habits using realistic driving cycles. IET Intelligent Transport Systems. 9(5). 498–504. 6 indexed citations
16.
Chrenko, Daniela, et al.. (2014). Simulation, experimental validation and kinematic optimization of a Stirling engine using air and helium. Energy. 78. 701–712. 43 indexed citations
17.
Aglzim, El‐Hassane, et al.. (2014). Dynamic Modeling and Driving Cycle Prediction for a Racing Series Hybrid Car. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2(3). 541–551. 12 indexed citations
18.
Chrenko, Daniela, et al.. (2013). Electro-thermal simulation of lithium ion batteries for electric and hybrid vehicles. 16–22. 2 indexed citations
19.
Aglzim, El‐Hassane, Mohd Haizal Jamaluddin, Daniela Chrenko, & Amar Rouane. (2013). Impedance Spectrometer Modelling in Matlab/Simulink for Measuring the Complex Impedance of a Fuel Cell –EIS Method. Journal of Clean Energy Technologies. 255–259. 4 indexed citations
20.
Hissel, Daniel, Marie‐Cécile Péra, Alain Bouscayrol, & Daniela Chrenko. (2008). Représentation énergétique macroscopique d'une pile à combustible. 10(4-5). 603–623. 6 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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