Michael Eikerling

10.8k total citations · 1 hit paper
197 papers, 8.5k citations indexed

About

Michael Eikerling is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Michael Eikerling has authored 197 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Electrical and Electronic Engineering, 120 papers in Renewable Energy, Sustainability and the Environment and 62 papers in Materials Chemistry. Recurrent topics in Michael Eikerling's work include Fuel Cells and Related Materials (121 papers), Electrocatalysts for Energy Conversion (114 papers) and Electrochemical Analysis and Applications (37 papers). Michael Eikerling is often cited by papers focused on Fuel Cells and Related Materials (121 papers), Electrocatalysts for Energy Conversion (114 papers) and Electrochemical Analysis and Applications (37 papers). Michael Eikerling collaborates with scholars based in Canada, Germany and United States. Michael Eikerling's co-authors include A. A. Kornyshev, Jun Huang, Qianpu Wang, Zhongsheng Liu, Mohammad J. Eslamibidgoli, Kourosh Malek, Ulrich Stimming, Alexei A. Kornyshev, Thomas Kadyk and Titichai Navessin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Michael Eikerling

192 papers receiving 8.3k citations

Hit Papers

align trajectories

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.

Water electrolysis: from textbook knowledge to the latest scientific strategies and industrial developments

2022 1.3k citations Michael Eikerling et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Eikerling Canada	48	6.8k	6.0k	2.4k	1.3k	1.1k	197	8.5k
Günther G. Scherer Switzerland	49	8.6k 1.3×	6.9k 1.2×	3.0k 1.3×	1.3k 1.0×	1.4k 1.2×	155	10.7k
Deborah J. Myers United States	56	8.6k 1.3×	8.9k 1.5×	2.8k 1.2×	1.2k 0.9×	347 0.3×	157	10.6k
Sung Jong Yoo South Korea	55	8.2k 1.2×	8.1k 1.3×	3.1k 1.3×	1.1k 0.9×	955 0.8×	324	11.2k
Supramaniam Srinivasan United States	30	7.2k 1.1×	5.9k 1.0×	2.7k 1.2×	1.6k 1.3×	872 0.8×	46	8.9k
Jong Hyun Jang South Korea	59	7.8k 1.2×	6.9k 1.2×	2.6k 1.1×	757 0.6×	1.5k 1.3×	265	10.9k
Suguru Noda Japan	44	5.0k 0.7×	4.2k 0.7×	3.2k 1.4×	954 0.8×	1.1k 0.9×	190	8.3k
Aliaksandr S. Bandarenka Germany	47	4.4k 0.6×	4.9k 0.8×	2.3k 1.0×	2.0k 1.6×	339 0.3×	188	7.2k
Andrzej Lasia Canada	49	5.3k 0.8×	4.1k 0.7×	3.6k 1.5×	2.5k 2.0×	507 0.4×	137	8.3k
Yoshikazu Ito Japan	46	4.5k 0.7×	5.0k 0.8×	3.5k 1.5×	493 0.4×	706 0.6×	121	8.6k
Maria K. Y. Chan United States	39	6.0k 0.9×	4.5k 0.7×	3.9k 1.7×	784 0.6×	532 0.5×	154	9.1k

Countries citing papers authored by Michael Eikerling

Since Specialization

Citations

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

Fields of papers citing papers by Michael Eikerling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Eikerling

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

All Works

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20 of 20 papers shown

Malek, Kourosh, et al.. (2025). Insights into structure and properties of catalyst-ionomer interfaces in a PEM fuel cell cathode from atomistic molecular dynamics simulations. Electrochimica Acta. 524. 146076–146076. 1 indexed citations

Shaigan, Nima, et al.. (2025). Data-driven modeling of polymer electrolyte fuel cells: Towards predictive analytics with explainable artificial intelligence. Energy and AI. 21. 100577–100577. 1 indexed citations

Rodenbücher, Christian, et al.. (2024). Deep learning-enhanced characterization of bubble dynamics in proton exchange membrane water electrolyzers. Physical Chemistry Chemical Physics. 26(20). 14529–14537. 8 indexed citations

Kadyk, Thomas, et al.. (2024). The Effect of Liquid Saturation Transients on PEM Fuel Cell Impedance: Inductive Loop and Instability of Catalyst Layer Operation. Journal of The Electrochemical Society. 171(7). 74506–74506. 2 indexed citations

Eikerling, Michael, et al.. (2024). Research and Integration of Hydrogen Technologies to Access Economic Sustainability (EFCF2023). Fuel Cells. 24(5).

Reshetenko, Tatyana V., et al.. (2024). An impedance spectroscopy study to unravel the effect of water on proton and oxygen transport in PEM fuel cells. Electrochimica Acta. 507. 145172–145172. 3 indexed citations

Pasel, Joachim, et al.. (2023). Rationalizing the mechanism of ethanol dehydrogenation on Pt/C. Surface Science. 739. 122396–122396. 2 indexed citations

He, Zhengda, et al.. (2023). Low-spin state of Fe in Fe-doped NiOOH electrocatalysts. Nature Communications. 14(1). 3498–3498. 90 indexed citations

Kadyk, Thomas, et al.. (2023). Droplet Evolution from a Single Hydrophobic Pore in the Diffusion Media of Polymer Electrolyte Fuel Cells: A Conceptual Analysis. Journal of The Electrochemical Society. 170(5). 54501–54501. 2 indexed citations

10.

Kadyk, Thomas, et al.. (2022). A Model for the Concentration Admittance of a Polymer Electrolyte Fuel Cell. The Journal of Physical Chemistry C. 126(33). 14075–14081. 3 indexed citations

11.

Buvat, Gaëtan, Mohammad J. Eslamibidgoli, Tianjun Zhang, et al.. (2022). Understanding the Effect of Ni-Substitution on the Oxygen Evolution Reaction of (100) IrO₂ Surfaces. ACS Catalysis. 12(17). 10961–10972. 8 indexed citations

12.

Gates, Byron D., et al.. (2022). Electrochemical Pressure Impedance Spectroscopy for Polymer Electrolyte Fuel Cells via Back-Pressure Control. Journal of The Electrochemical Society. 169(4). 44510–44510. 9 indexed citations

13.

Batool, Mariah, Jasna Janković, Jenia Jitsev, et al.. (2021). Deep learning for the automation of particle analysis in catalyst layers for polymer electrolyte fuel cells. Nanoscale. 14(1). 10–18. 23 indexed citations

14.

Fan, Mengyang, Mohammad J. Eslamibidgoli, Sébastien Garbarino, et al.. (2020). A Computational-Experimental Investigation of the Mechanisms Responsible for the Enhanced CO₂ Electrochemical Reduction of Dendritic Sn₁Pb₃ Alloy. ECS Meeting Abstracts. MA2020-01(46). 2630–2630. 1 indexed citations

15.

Buvat, Gaëtan, Mohammad J. Eslamibidgoli, Sébastien Garbarino, Michael Eikerling, & Daniel Guay. (2020). OER Performances of Cationic Substituted (100)-Oriented IrO₂ Thin Films: A Joint Experimental and Theoretical Study. ACS Applied Energy Materials. 3(6). 5229–5237. 18 indexed citations

16.

Fan, Mengyang, Mohammad J. Eslamibidgoli, Sébastien Garbarino, et al.. (2020). Understanding the Improved Activity of Dendritic Sn₁Pb₃ Alloy for the CO₂ Electrochemical Reduction: A Computational–Experimental Investigation. ACS Catalysis. 10(18). 10726–10734. 13 indexed citations

17.

Buvat, Gaëtan, Mohammad J. Eslamibidgoli, Azza Hadj Youssef, et al.. (2019). Effect of IrO₆ Octahedron Distortion on the OER Activity at (100) IrO₂ Thin Film. ACS Catalysis. 10(1). 806–817. 68 indexed citations

18.

Kadyk, Thomas, et al.. (2018). Tipping water balance and the Pt loading effect in polymer electrolyte fuel cells: a model-based analysis. Sustainable Energy & Fuels. 2(6). 1189–1196. 44 indexed citations

19.

Chan, Karen & Michael Eikerling. (2010). A Pore-Scale Model of Oxygen Reduction in Ionomer-Free Catalyst Layers of PEFCs. Journal of The Electrochemical Society. 158(1). B18–B18. 91 indexed citations

20.

Eikerling, Michael, et al.. (2002). Molecular Modeling of Proton Conduction in Polymer Electrolyte Membranes of Nafion® Type. TechConnect Briefs. 2(2002). 115–116. 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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