Verena Klass

719 total citations
12 papers, 574 citations indexed

About

Verena Klass is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Verena Klass has authored 12 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 11 papers in Electrical and Electronic Engineering and 2 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Verena Klass's work include Advanced Battery Technologies Research (12 papers), Electric Vehicles and Infrastructure (9 papers) and Advancements in Battery Materials (8 papers). Verena Klass is often cited by papers focused on Advanced Battery Technologies Research (12 papers), Electric Vehicles and Infrastructure (9 papers) and Advancements in Battery Materials (8 papers). Verena Klass collaborates with scholars based in Sweden. Verena Klass's co-authors include Mårten Behm, Göran Lindbergh, Göran Lindbergh, Mikael Johansson, Matilda Klett, Jonas Sjöberg, Henrik Ekström, Andrew Lodge and Håkan Hjalmarsson and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Power Sources and Applied Energy.

In The Last Decade

Verena Klass

11 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Verena Klass Sweden	7	548	483	122	80	14	12	574
Jiangtao He China	9	558 1.0×	498 1.0×	144 1.2×	87 1.1×	23 1.6×	18	606
Yishan Cai China	11	655 1.2×	613 1.3×	114 0.9×	50 0.6×	16 1.1×	12	698
Haotian Shi China	8	377 0.7×	344 0.7×	116 1.0×	66 0.8×	18 1.3×	26	432
Weiping Diao United States	13	699 1.3×	656 1.4×	118 1.0×	119 1.5×	32 2.3×	18	763
Jiaxi Qiang China	8	501 0.9×	449 0.9×	115 0.9×	40 0.5×	17 1.2×	15	533
Nima Lotfi United States	10	786 1.4×	706 1.5×	163 1.3×	81 1.0×	23 1.6×	26	840
Qiaohua Fang China	7	483 0.9×	465 1.0×	72 0.6×	45 0.6×	26 1.9×	11	516
Xitian He China	11	522 1.0×	472 1.0×	96 0.8×	34 0.4×	25 1.8×	17	555
Xianghui Qiu China	8	520 0.9×	465 1.0×	109 0.9×	69 0.9×	27 1.9×	12	586
Deyang Huang China	9	379 0.7×	331 0.7×	154 1.3×	31 0.4×	13 0.9×	10	439

Countries citing papers authored by Verena Klass

Since Specialization

Citations

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

Fields of papers citing papers by Verena Klass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Klass

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

All Works

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12 of 12 papers shown

Lodge, Andrew, et al.. (2024). Electrochemical model-based aging-adaptive fast charging of automotive lithium-ion cells. Applied Energy. 372. 123644–123644. 2 indexed citations

Hjalmarsson, Håkan, et al.. (2023). Informative battery charging: integrating fast charging and optimal experiments. IFAC-PapersOnLine. 56(2). 11160–11166. 1 indexed citations

Klass, Verena, et al.. (2023). Investigating re-parametrization of electrochemical model-based battery management using real-world driving data. eTransportation. 16. 100231–100231. 29 indexed citations

Klass, Verena, et al.. (2022). Parametrization of physics-based battery models from input–output data: A review of methodology and current research. Journal of Power Sources. 521. 230859–230859. 77 indexed citations

Johansson, Mikael, et al.. (2020). A Continuous-Time LPV Model for Battery State-of-health Estimation Using Real Vehicle Data. 692–698. 4 indexed citations

Klass, Verena, et al.. (2018). Model-Based Lithium-Ion Battery Resistance Estimation From Electric Vehicle Operating Data. IEEE Transactions on Vehicular Technology. 67(5). 3720–3728. 64 indexed citations

Klass, Verena. (2015). Battery Health Estimation in Electric Vehicles. KTH Publication Database DiVA (KTH Royal Institute of Technology). 6 indexed citations

Klass, Verena, Mårten Behm, & Göran Lindbergh. (2015). Capturing lithium-ion battery dynamics with support vector machine-based battery model. Journal of Power Sources. 298. 92–101. 51 indexed citations

Klass, Verena, Mårten Behm, & Göran Lindbergh. (2014). A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation. Journal of Power Sources. 270. 262–272. 303 indexed citations

10.

Klass, Verena, et al.. (2012). Evaluating Real-Life Performance of Lithium-Ion Battery Packs in Electric Vehicles. ECS Transactions. 41(32). 1–11. 6 indexed citations

11.

Klass, Verena, Mårten Behm, & Göran Lindbergh. (2012). Evaluating Real-Life Performance of Lithium-Ion Battery Packs in Electric Vehicles. Journal of The Electrochemical Society. 159(11). A1856–A1860. 30 indexed citations

12.

Klass, Verena, Mårten Behm, & Göran Lindbergh. (2010). Li-ion battery performance in electric vehicles. 1 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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