Michael Schönleber

1.2k total citations · 1 hit paper
8 papers, 964 citations indexed

About

Michael Schönleber is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Michael Schönleber has authored 8 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Automotive Engineering, 7 papers in Electrical and Electronic Engineering and 2 papers in Bioengineering. Recurrent topics in Michael Schönleber's work include Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (5 papers) and Advanced Battery Materials and Technologies (4 papers). Michael Schönleber is often cited by papers focused on Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (5 papers) and Advanced Battery Materials and Technologies (4 papers). Michael Schönleber collaborates with scholars based in Germany. Michael Schönleber's co-authors include Ellen Ivers‐Tiffée, Dino Klotz, Jan Philipp Schmidt, André Weber, Philipp Berg, Michael Weiß, Christian Uhlmann, Johann C. Wurzenberger and Jan Richter and has published in prestigious journals such as Journal of Power Sources, Electrochimica Acta and Sustainability.

In The Last Decade

Michael Schönleber

7 papers receiving 927 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.

A Method for Improving the Robustness of linear Kramers-Kronig Validity Tests

2014 422 citations Michael Schönleber, Dino Klotz et al. Electrochimica Acta profile →

Peers

Michael Schönleber

EEE

AE

MC

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ELECT

Samuel Cruz-Manzo United Kingdom

Y.Y. Wang Taiwan

Jie Ni China

Huachi Xu China

Andrew Hsieh United States

Yakup Hameş Türkiye

Shuqian Wang China

Keqing Zheng China

Takuto Araki Japan

Lara Rasha United Kingdom

Samuel Cruz-Manzo United Kingdom

Michael Schönleber

392 ×0.5

EEE

137 ×0.3

AE

91 ×0.4

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203 ×1.7

RESE

59 ×0.7

ELECT

Citations per year, relative to Michael Schönleber Michael Schönleber (= 1×) peers Samuel Cruz-Manzo

Countries citing papers authored by Michael Schönleber

Since Specialization

Citations

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

Fields of papers citing papers by Michael Schönleber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schönleber

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

All Works

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8 of 8 papers shown

1.

Wurzenberger, Johann C., et al.. (2022). Electrochemical Battery Simulation - Conflict between Fast-charging and Aging. 27(S1). 38–43. 1 indexed citations

2.

Schönleber, Michael, et al.. (2019). Capacity Fade in Lithium-Ion Batteries and Cyclic Aging over Various State-of-Charge Ranges. Sustainability. 11(23). 6697–6697. 76 indexed citations

3.

Schönleber, Michael, et al.. (2017). A Consistent Derivation of the Impedance of a Lithium-Ion Battery Electrode and its Dependency on the State-of-Charge. Electrochimica Acta. 243. 250–259. 69 indexed citations

4.

Schönleber, Michael & Ellen Ivers‐Tiffée. (2015). Approximability of impedance spectra by RC elements and implications for impedance analysis. Electrochemistry Communications. 58. 15–19. 121 indexed citations

5.

Schönleber, Michael & Ellen Ivers‐Tiffée. (2015). The Distribution Function of Differential Capacity as a new tool for analyzing the capacitive properties of Lithium-Ion batteries. Electrochemistry Communications. 61. 45–48. 36 indexed citations

6.

Schönleber, Michael, Dino Klotz, & Ellen Ivers‐Tiffée. (2014). A Method for Improving the Robustness of linear Kramers-Kronig Validity Tests. Electrochimica Acta. 131. 20–27. 422 indexed citations breakdown →

7.

Schmidt, Jan Philipp, Philipp Berg, Michael Schönleber, André Weber, & Ellen Ivers‐Tiffée. (2012). The distribution of relaxation times as basis for generalized time-domain models for Li-ion batteries. Journal of Power Sources. 221. 70–77. 167 indexed citations

8.

Klotz, Dino, Michael Schönleber, Jan Philipp Schmidt, & Ellen Ivers‐Tiffée. (2011). New approach for the calculation of impedance spectra out of time domain data. Electrochimica Acta. 56(24). 8763–8769. 72 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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