Philipp Dechent

2.8k total citations · 2 hit papers
25 papers, 2.0k citations indexed

About

Philipp Dechent is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Philipp Dechent has authored 25 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Automotive Engineering, 24 papers in Electrical and Electronic Engineering and 2 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Philipp Dechent's work include Advanced Battery Technologies Research (25 papers), Advancements in Battery Materials (24 papers) and Advanced Battery Materials and Technologies (14 papers). Philipp Dechent is often cited by papers focused on Advanced Battery Technologies Research (25 papers), Advancements in Battery Materials (24 papers) and Advanced Battery Materials and Technologies (14 papers). Philipp Dechent collaborates with scholars based in Germany, United States and United Kingdom. Philipp Dechent's co-authors include Dirk Uwe Sauer, Madeleine Ecker, Stefan Käbitz, David A. Howey, Weihan Li, Anuradha M. Annaswamy, Friedrich Hust, Jochen Bernhard Gerschler, J. Vogel and Alexander Warnecke and has published in prestigious journals such as Nature Communications, Journal of The Electrochemical Society and Journal of Power Sources.

In The Last Decade

Philipp Dechent

24 papers receiving 1.9k citations

Hit Papers

Development of a lifetime prediction model for lithium-io... 2012 2026 2016 2021 2012 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Dechent Germany 15 1.9k 1.8k 211 186 68 25 2.0k
Valentin Sulzer United States 14 1.4k 0.7× 1.3k 0.7× 108 0.5× 138 0.7× 82 1.2× 25 1.5k
Ruilong Xu China 7 1.2k 0.6× 1.1k 0.6× 150 0.7× 296 1.6× 46 0.7× 18 1.4k
Bingxiang Sun China 19 1.6k 0.8× 1.4k 0.8× 103 0.5× 304 1.6× 101 1.5× 63 1.7k
Xiaosong Hu China 21 1.3k 0.7× 1.2k 0.7× 155 0.7× 406 2.2× 73 1.1× 48 1.6k
Anthony Barré France 5 1.3k 0.7× 1.3k 0.7× 123 0.6× 124 0.7× 71 1.0× 7 1.5k
Simon F. Schuster Germany 11 1.9k 1.0× 1.9k 1.1× 113 0.5× 116 0.6× 134 2.0× 23 2.1k
Mince Li China 13 1.5k 0.8× 1.4k 0.8× 119 0.6× 386 2.1× 47 0.7× 23 1.7k
Hector E. Perez United States 18 2.1k 1.1× 1.9k 1.1× 89 0.4× 385 2.1× 71 1.0× 27 2.3k
Yue Pan China 11 952 0.5× 845 0.5× 118 0.6× 204 1.1× 82 1.2× 17 1.0k

Countries citing papers authored by Philipp Dechent

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Dechent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Dechent

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Dechent. A scholar is included among the top collaborators of Philipp Dechent 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 Philipp Dechent. Philipp Dechent 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.
John, Philip D. St., Paul Busch, Martin Börner, et al.. (2025). Big data generation platform for battery faults under real-world variances. Green Energy and Intelligent Transportation. 4(3). 100282–100282. 5 indexed citations
2.
3.
Wu, Ziheng, et al.. (2024). Benchmarking battery management system algorithms - Requirements, scenarios and validation for automotive applications. eTransportation. 22. 100355–100355. 14 indexed citations
4.
Ibraheem, Rasheed, Philipp Dechent, & Gonçalo dos Reis. (2024). Path signature-based life prognostics of Li-ion battery using pulse test data. Applied Energy. 378. 124820–124820. 5 indexed citations
5.
Schreiber, Markus, Philipp Dechent, Yao Lu, et al.. (2024). Short‐Term Tests, Long‐Term Predictions – Accelerating Ageing Characterisation of Lithium‐Ion Batteries. Batteries & Supercaps. 7(11). 17 indexed citations
6.
Hust, Friedrich, et al.. (2024). Exploring the effects of cell-to-cell variability on battery aging through stochastic simulation techniques. Journal of Energy Storage. 84. 110851–110851. 7 indexed citations
7.
Dechent, Philipp, et al.. (2023). In situ tomography of lithium-ion battery cells enabled by scanning acoustic imaging. Journal of Power Sources. 580. 233295–233295. 15 indexed citations
8.
Dechent, Philipp, et al.. (2023). Correlation of Health Indicators on Lithium‐Ion Batteries. Energy Technology. 11(7). 5 indexed citations
9.
Dechent, Philipp, et al.. (2022). A Comprehensive Electric Vehicle Model for Vehicle-to-Grid Strategy Development. Energies. 15(12). 4186–4186. 12 indexed citations
10.
Attia, Peter M., Alexander Bills, Ferran Brosa Planella, et al.. (2022). Review—“Knees” in Lithium-Ion Battery Aging Trajectories. Journal of The Electrochemical Society. 169(6). 60517–60517. 279 indexed citations breakdown →
11.
Li, Weihan, Haotian Zhang, Bruis van Vlijmen, Philipp Dechent, & Dirk Uwe Sauer. (2022). Forecasting battery capacity and power degradation with multi-task learning. Energy storage materials. 53. 453–466. 76 indexed citations
12.
Dechent, Philipp, et al.. (2021). Estimation of Li‐Ion Degradation Test Sample Sizes Required to Understand Cell‐to‐Cell Variability**. Batteries & Supercaps. 4(12). 1821–1829. 33 indexed citations
13.
Beck, David, Philipp Dechent, M. Junker, Dirk Uwe Sauer, & Matthieu Dubarry. (2021). Inhomogeneities and Cell-to-Cell Variations in Lithium-Ion Batteries, a Review. Energies. 14(11). 3276–3276. 84 indexed citations
14.
Dechent, Philipp, Dominik Jöst, Yuliya Preger, et al.. (2021). ENPOLITE: Comparing Lithium-Ion Cells across Energy, Power, Lifetime, and Temperature. ACS Energy Letters. 6(6). 2351–2355. 32 indexed citations
15.
Dechent, Philipp, et al.. (2021). A Review on Aging-Aware System Simulation for Plug-In Hybrids. IEEE Transactions on Transportation Electrification. 8(2). 1524–1540. 8 indexed citations
16.
Li, Weihan, et al.. (2020). Online capacity estimation of lithium-ion batteries with deep long short-term memory networks. Journal of Power Sources. 482. 228863–228863. 274 indexed citations
17.
Dechent, Philipp, et al.. (2020). The Development of Jelly Roll Deformation in 18650 Lithium-Ion Batteries at Low State of Charge. Journal of The Electrochemical Society. 167(12). 120502–120502. 62 indexed citations
18.
Lewerenz, Meinert, Philipp Dechent, & Dirk Uwe Sauer. (2019). Investigation of capacity recovery during rest period at different states-of-charge after cycle life test for prismatic Li(Ni1/3Mn1/3Co1/3)O2-graphite cells. Journal of Energy Storage. 21. 680–690. 66 indexed citations
19.
Ecker, Madeleine, et al.. (2015). Parameterization of a Physico-Chemical Model of a Lithium-Ion Battery. Journal of The Electrochemical Society. 162(9). A1836–A1848. 216 indexed citations
20.
Ecker, Madeleine, Jochen Bernhard Gerschler, J. Vogel, et al.. (2012). Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data. Journal of Power Sources. 215. 248–257. 500 indexed citations breakdown →

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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