Elixabete Ayerbe

2.2k total citations · 1 hit paper
31 papers, 1.1k citations indexed

About

Elixabete Ayerbe is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Elixabete Ayerbe has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Automotive Engineering, 27 papers in Electrical and Electronic Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Elixabete Ayerbe's work include Advanced Battery Technologies Research (27 papers), Advancements in Battery Materials (23 papers) and Advanced Battery Materials and Technologies (17 papers). Elixabete Ayerbe is often cited by papers focused on Advanced Battery Technologies Research (27 papers), Advancements in Battery Materials (23 papers) and Advanced Battery Materials and Technologies (17 papers). Elixabete Ayerbe collaborates with scholars based in Spain, France and Germany. Elixabete Ayerbe's co-authors include Alejandro A. Franco, Marc Duquesnoy, Francisco Alcaide, Tejs Vegge, Maitane Berecibar, Arghya Bhowmik, Janna Ruhland, Simon Clark, Maarten Messagie and Maeva Lavigne Philippot and has published in prestigious journals such as Chemical Reviews, Advanced Energy Materials and Journal of The Electrochemical Society.

In The Last Decade

Elixabete Ayerbe

27 papers receiving 1.1k citations

Hit Papers

Artificial Intelligence Applied to Battery Research: Hype... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elixabete Ayerbe Spain 13 885 647 178 175 70 31 1.1k
Fabian Duffner Germany 9 1.6k 1.8× 921 1.4× 337 1.9× 183 1.0× 84 1.2× 9 1.8k
Kai Peter Birke Germany 28 2.1k 2.3× 1.9k 2.9× 221 1.2× 155 0.9× 87 1.2× 163 2.5k
Florin Mariașiu Romania 12 594 0.7× 635 1.0× 168 0.9× 101 0.6× 80 1.1× 45 963
Matthew Keyser United States 19 1.6k 1.8× 1.6k 2.4× 234 1.3× 103 0.6× 101 1.4× 44 1.9k
Jingyi Chen China 11 1.9k 2.1× 1.7k 2.7× 170 1.0× 143 0.8× 52 0.7× 25 2.2k
Mohammad Shahjalal United Kingdom 10 606 0.7× 465 0.7× 161 0.9× 42 0.2× 23 0.3× 16 747
Teo Lombardo France 16 999 1.1× 867 1.3× 245 1.4× 215 1.2× 29 0.4× 26 1.3k
Md. Sazal Miah Bangladesh 15 860 1.0× 683 1.1× 55 0.3× 73 0.4× 60 0.9× 41 1.2k
Paul A. Nelson United States 17 982 1.1× 831 1.3× 340 1.9× 53 0.3× 108 1.5× 26 1.4k
Jelle Smekens Belgium 13 1.5k 1.7× 1.3k 2.1× 160 0.9× 40 0.2× 77 1.1× 18 1.7k

Countries citing papers authored by Elixabete Ayerbe

Since Specialization
Citations

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

Fields of papers citing papers by Elixabete Ayerbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elixabete Ayerbe

This figure shows the co-authorship network connecting the top 25 collaborators of Elixabete Ayerbe. A scholar is included among the top collaborators of Elixabete Ayerbe 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 Elixabete Ayerbe. Elixabete Ayerbe 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.
Menkin, Svetlana, Elixabete Ayerbe, Anna B. Gunnarsdóttir, et al.. (2026). Anode‐Free Cell Concepts: Critical Analysis and Development of Practical Batteries. Small. 22(18). e13633–e13633.
2.
Aguesse, Frédéric, Elixabete Ayerbe, Lukas Gold, et al.. (2025). Integration of lithium-ion battery recycling into manufacturing through digitalization: A perspective. Journal of Power Sources. 631. 236158–236158. 7 indexed citations
3.
Arcelus, Oier, et al.. (2025). Key design considerations for blended electrodes in Li-ion batteries. Solid State Ionics. 428. 116942–116942.
5.
Parra, Rubén D., et al.. (2024). Physics-Informed Neural Networks for Modeling Li-ion Batteries: Solving the Single Particle Model Without Labeled Data. Journal of The Electrochemical Society. 171(11). 110534–110534. 1 indexed citations
6.
Wölke, Christian, Anass Benayad, Felix Hanke, et al.. (2024). Single Versus Blended Electrolyte Additives: Impact of a Sulfur‐Based Electrolyte Additive on Electrode Cross‐Talk and Electrochemical Performance of LiNiO2||Graphite Cells. Advanced Energy Materials. 14(36). 5 indexed citations
8.
Alcaide, Francisco, Garbiñe Álvarez, Émilie Bekaert, et al.. (2023). Exploring the Influence of Temperature on Anode Degradation in Cycling-Aged Commercial Cylindrical Graphite-Si|NCA Cells. Journal of The Electrochemical Society. 170(8). 80523–80523. 4 indexed citations
9.
Ayerbe, Elixabete, et al.. (2023). Method of Lines for flexible coupling of the Single Particle Model for Lithium-Ion Batteries demonstrated by thermal modelling. Journal of Energy Storage. 68. 107459–107459. 8 indexed citations
10.
Müller, Marcus, Werner Bauer, Olatz Leonet, et al.. (2023). Challenges and Opportunities for Large‐Scale Electrode Processing for Sodium‐Ion and Lithium‐Ion Battery. Batteries & Supercaps. 6(11). 11 indexed citations
11.
Parra, Rubén D., et al.. (2022). cideMOD: An Open Source Tool for Battery Cell Inhomogeneous Performance Understanding. Journal of The Electrochemical Society. 169(9). 90528–90528. 10 indexed citations
12.
Alcaide, Francisco, et al.. (2022). Influence of Long-Term Storage Conditions on Lithium Metal Anode Surface in Liquid Carbonate-Based Electrolyte. Journal of The Electrochemical Society. 169(8). 80526–80526. 5 indexed citations
13.
Flores, Eibar, Poul Norby, Elixabete Ayerbe, et al.. (2022). Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory. Digital Discovery. 2(1). 112–122. 23 indexed citations
14.
Duquesnoy, Marc, et al.. (2021). Machine learning-based assessment of the impact of the manufacturing process on battery electrode heterogeneity. Energy and AI. 5. 100090–100090. 43 indexed citations
15.
Lombardo, Teo, Marc Duquesnoy, Fabian Årén, et al.. (2021). Artificial Intelligence Applied to Battery Research: Hype or Reality?. Chemical Reviews. 122(12). 10899–10969. 339 indexed citations breakdown →
16.
Alcaide, Francisco, et al.. (2021). New Insights on Tortuosity Determination by EIS for Battery Electrodes: Effect of Electrolyte Concentration and Temperature. Journal of The Electrochemical Society. 168(11). 110514–110514. 7 indexed citations
17.
Ayerbe, Elixabete, Fernando Varas, & Idoia Urdampilleta. (2021). On the Use of Dimensionless Parameters for Fast Battery Performance Analysis. Journal of The Electrochemical Society. 168(10). 100515–100515. 4 indexed citations
18.
Бондарчук, Олександр, et al.. (2020). On the X-ray photoelectron spectroscopy analysis of LiNixMnyCozO2 material and electrodes. Applied Surface Science. 535. 147699–147699. 63 indexed citations
19.
Philippot, Maeva Lavigne, Garbiñe Álvarez, Elixabete Ayerbe, Joeri Van Mierlo, & Maarten Messagie. (2019). Eco-Efficiency of a Lithium-Ion Battery for Electric Vehicles: Influence of Manufacturing Country and Commodity Prices on GHG Emissions and Costs. Batteries. 5(1). 23–23. 109 indexed citations
20.
Ayerbe, Elixabete, et al.. (2009). Economical assessment of a wind–hydrogen energy system using WindHyGen® software. International Journal of Hydrogen Energy. 34(7). 2845–2854. 58 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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