Fridolin Röder

1.8k total citations · 1 hit paper
41 papers, 1.3k citations indexed

About

Fridolin Röder is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Polymers and Plastics. According to data from OpenAlex, Fridolin Röder has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 36 papers in Automotive Engineering and 4 papers in Polymers and Plastics. Recurrent topics in Fridolin Röder's work include Advanced Battery Technologies Research (36 papers), Advancements in Battery Materials (32 papers) and Advanced Battery Materials and Technologies (26 papers). Fridolin Röder is often cited by papers focused on Advanced Battery Technologies Research (36 papers), Advancements in Battery Materials (32 papers) and Advanced Battery Materials and Technologies (26 papers). Fridolin Röder collaborates with scholars based in Germany, United States and India. Fridolin Röder's co-authors include Ulrike Krewer, Vincent Laue, Richard D. Braatz, Nicolas Wolff, Rolf Findeisen, Eranda Harinath, Arno Kwade, Benjamin Bedürftig, Christoph Herrmann and Matthias Thomitzek and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Energy & Environmental Science.

In The Last Decade

Fridolin Röder

40 papers receiving 1.3k citations

Hit Papers

Lithium-ion battery cell formation: status and future dir... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fridolin Röder Germany 23 1.1k 1.1k 146 79 77 41 1.3k
Jingyi Chen China 11 1.9k 1.7× 1.7k 1.7× 170 1.2× 88 1.1× 143 1.9× 25 2.2k
Niall Kirkaldy United Kingdom 12 1.1k 1.0× 965 0.9× 111 0.8× 59 0.7× 80 1.0× 16 1.3k
Teo Lombardo France 16 999 0.9× 867 0.8× 245 1.7× 54 0.7× 215 2.8× 26 1.3k
Michael Lain United Kingdom 20 1.3k 1.2× 915 0.9× 352 2.4× 46 0.6× 121 1.6× 40 1.5k
A. Tomaszewska Poland 14 2.2k 2.0× 1.8k 1.8× 144 1.0× 78 1.0× 101 1.3× 18 2.4k
Franz B. Spingler Germany 16 1.1k 1.0× 927 0.9× 87 0.6× 30 0.4× 58 0.8× 21 1.2k
Markus Meiler Germany 9 1.3k 1.2× 1.3k 1.2× 105 0.7× 205 2.6× 63 0.8× 14 1.5k
James Marcicki United States 15 1.7k 1.5× 1.4k 1.3× 181 1.2× 144 1.8× 129 1.7× 22 1.9k
Lingxi Kong United States 12 813 0.7× 705 0.7× 109 0.7× 37 0.5× 41 0.5× 19 964
Mathias Gérard France 19 2.2k 1.9× 1.7k 1.6× 106 0.7× 212 2.7× 204 2.6× 45 2.3k

Countries citing papers authored by Fridolin Röder

Since Specialization
Citations

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

Fields of papers citing papers by Fridolin Röder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fridolin Röder

This figure shows the co-authorship network connecting the top 25 collaborators of Fridolin Röder. A scholar is included among the top collaborators of Fridolin Röder 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 Fridolin Röder. Fridolin Röder 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.
Plank, Christian, et al.. (2025). Degradation path indicators for lithium-ion batteries. Journal of Energy Storage. 140. 119113–119113.
2.
Heidrich, Bastian, Thomas Roth, Michael Kurrat, et al.. (2024). Lithium-ion battery cell formation: status and future directions towards a knowledge-based process design. Energy & Environmental Science. 17(8). 2686–2733. 70 indexed citations breakdown →
3.
Jung, Jinkwan, et al.. (2024). Insight into the Impact of Electrolyte on Passivation of Lithium–Sulfur Cathodes. Advanced Materials Interfaces. 12(5). 1 indexed citations
4.
Röder, Fridolin, et al.. (2024). A fundamental study on cyclic voltammetry at porous carbon thin-film electrodes. Electrochimica Acta. 488. 144183–144183. 13 indexed citations
5.
Röder, Fridolin, et al.. (2023). Modelling of solid electrolyte interphase growth using neural ordinary differential equations. Electrochimica Acta. 473. 143479–143479. 6 indexed citations
6.
Röder, Fridolin, et al.. (2023). Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling. Nature Communications. 14(1). 6823–6823. 42 indexed citations
7.
Röder, Fridolin, et al.. (2023). Revealing the Impact of Particle Size Distribution on Ageing of Lithium‐Ion Batteries with Frequency Response Analysis. Batteries & Supercaps. 6(10). 4 indexed citations
8.
Soto, Fernando A., et al.. (2023). Species Distribution During Solid Electrolyte Interphase Formation on Lithium Using MD/DFT-Parameterized Kinetic Monte Carlo Simulations. The Journal of Physical Chemistry C. 127(10). 4872–4886. 22 indexed citations
9.
Röder, Fridolin, et al.. (2022). Analysis of Lithium‐Ion Battery State and Degradation via Physicochemical Cell and SEI Modeling. Batteries & Supercaps. 5(7). 25 indexed citations
10.
Kurrat, Michael, et al.. (2022). Characterization of the Solid–Electrolyte Interphase Growth During Cell Formation Based on Differential Voltage Analysis. Energy Technology. 11(5). 10 indexed citations
11.
Baakes, Florian, et al.. (2022). Unveiling the interaction of reactions and phase transition during thermal abuse of Li-ion batteries. Journal of Power Sources. 522. 230881–230881. 43 indexed citations
12.
Röder, Fridolin, et al.. (2021). Conductive Networks and Their Impact on Uncertainty, Degradation, and Failure of Lithium-Ion Battery Electrodes. ACS Applied Energy Materials. 4(5). 4845–4860. 8 indexed citations
13.
Thomitzek, Matthias, et al.. (2020). Modeling the Impact of Manufacturing Uncertainties on Lithium-Ion Batteries. Journal of The Electrochemical Society. 167(6). 60501–60501. 60 indexed citations
14.
Röder, Fridolin, et al.. (2020). Impact of Particle Size Distribution on Performance of Lithium‐Ion Batteries. ChemElectroChem. 7(23). 4755–4766. 116 indexed citations
15.
Röder, Fridolin, Vincent Laue, & Ulrike Krewer. (2019). Model Based Multiscale Analysis of Film Formation in Lithium‐Ion Batteries. Batteries & Supercaps. 2(3). 248–265. 25 indexed citations
16.
Laue, Vincent, et al.. (2019). Model‐Based Uncertainty Quantification for the Product Properties of Lithium‐Ion Batteries. Energy Technology. 8(2). 26 indexed citations
17.
Laue, Vincent, Nicolas Wolff, Fridolin Röder, & Ulrike Krewer. (2019). Modeling the Influence of Mixing Strategies on Microstructural Properties of All‐Solid‐State Electrodes. Energy Technology. 8(2). 18 indexed citations
18.
Krewer, Ulrike, Fridolin Röder, Eranda Harinath, et al.. (2018). Review—Dynamic Models of Li-Ion Batteries for Diagnosis and Operation: A Review and Perspective. Journal of The Electrochemical Society. 165(16). A3656–A3673. 190 indexed citations
19.
Röder, Fridolin, Richard D. Braatz, & Ulrike Krewer. (2018). Direct coupling of continuum and kinetic Monte Carlo models for multiscale simulation of electrochemical systems. Computers & Chemical Engineering. 121. 722–735. 30 indexed citations
20.
Wolff, Nicolas, et al.. (2017). Nonlinear Frequency Response Analysis (NFRA) of Lithium-Ion Batteries. Electrochimica Acta. 248. 133–139. 60 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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