Antti Aitio

473 total citations · 1 hit paper
7 papers, 354 citations indexed

About

Antti Aitio is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Antti Aitio has authored 7 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Automotive Engineering, 5 papers in Electrical and Electronic Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in Antti Aitio's work include Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (4 papers) and Electric Vehicles and Infrastructure (3 papers). Antti Aitio is often cited by papers focused on Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (4 papers) and Electric Vehicles and Infrastructure (3 papers). Antti Aitio collaborates with scholars based in United Kingdom, United States and Germany. Antti Aitio's co-authors include David A. Howey, Anna G. Stefanopoulou, Suhak Lee, Muhammad Umer Arif Khan, Valentin Sulzer, Peyman Mohtat, Jason B. Siegel, Frank Steinbacher, Jang Woo Lee and Luis D. Couto and has published in prestigious journals such as Journal of Power Sources, Applied Energy and Joule.

In The Last Decade

Antti Aitio

5 papers receiving 339 citations

Hit Papers

The challenge and opportunity of battery lifetime predict... 2021 2026 2022 2024 2021 50 100 150 200 250
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.

  1. The challenge and opportunity of battery lifetime prediction from field data
    2021 268 citations Valentin Sulzer, Peyman Mohtat et al. Joule profile →

Peers

Antti Aitio
Bruis van Vlijmen United States
Haicheng Xie China
Calum Strange United Kingdom
Xianbin Yang China
Joris de Hoog Belgium
Qiaohua Fang China
Benjamin Juba United States
Joseph Lacap United States
Alejandro Gismero Denmark
Andrea Cordoba-Arenas United States
Bruis van Vlijmen United States
Antti Aitio
Citations per year, relative to Antti Aitio Antti Aitio (= 1×) peers Bruis van Vlijmen

Countries citing papers authored by Antti Aitio

Since Specialization
Citations

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

Fields of papers citing papers by Antti Aitio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antti Aitio

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

All Works

7 of 7 papers shown
1.
Aitio, Antti, et al.. (2025). Learning Li-ion battery health and degradation modes from data with aging-aware circuit models. Applied Energy. 397. 126375–126375. 1 indexed citations
2.
3.
Aitio, Antti, et al.. (2025). Learning Battery Model Parameter Dynamics From Data With Recursive Gaussian Process Regression. Journal of Dynamic Systems Measurement and Control. 147(3).
4.
Aitio, Antti & David A. Howey. (2021). Predicting battery end of life from solar off-grid system field data using machine learning. Joule. 5(12). 3204–3220. 79 indexed citations
5.
Sulzer, Valentin, Peyman Mohtat, Antti Aitio, et al.. (2021). The challenge and opportunity of battery lifetime prediction from field data. Joule. 5(8). 1934–1955. 268 indexed citations breakdown →
6.
Couto, Luis D., Dong Zhang, Antti Aitio, Scott Moura, & David A. Howey. (2020). Estimation of Parameter Probability Distributions for Lithium-Ion Battery String Models Using Bayesian Methods. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 2 indexed citations
7.

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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2026