Standout Papers

Degradation diagnostics for lithium ion cells 2016 2026 2019 2022 1.2k
  1. Degradation diagnostics for lithium ion cells (2016)
    Christoph Birkl, Matthew Roberts et al. Journal of Power Sources
  2. Gaussian process regression for forecasting battery state of health (2017)
    Robert R. Richardson, Michael A. Osborne et al. Journal of Power Sources
  3. Review—“Knees” in Lithium-Ion Battery Aging Trajectories (2022)
    Peter M. Attia, Alexander Bills et al. Journal of The Electrochemical Society
  4. The challenge and opportunity of battery lifetime prediction from field data (2021)
    Valentin Sulzer, Peyman Mohtat et al. Joule

Immediate Impact

22 from Science/Nature 100 standout
Sub-graph 1 of 18

Citing Papers

Challenges and opportunities for high-quality battery production at scale
2025 Standout
Multi-modal framework for battery state of health evaluation using open-source electric vehicle data
2025 Standout
19 intermediate papers

Works of David A. Howey being referenced

One-shot battery degradation trajectory prediction with deep learning
2021
Degradation diagnostics for lithium ion cells
2016 Standout
and 18 more

Author Peers

Author Last Decade Papers Cites
David A. Howey 6452 5985 1130 114 7.6k
Maitane Berecibar 6061 5950 857 118 7.5k
Zhongbao Wei 7546 7593 1501 163 9.0k
Daniel‐Ioan Stroe 7666 7231 2269 258 9.0k
Xuezhe Wei 8233 7449 1269 244 9.3k
Molla Shahadat Hossain Lipu 5883 4737 1794 129 7.4k
Lei Zhang 5786 6760 2346 164 9.2k
Noshin Omar 4999 4919 504 100 5.9k
Andreas Jossen 11865 11178 1372 286 13.1k
Shichun Yang 3761 3457 1159 204 5.6k
Haifeng Dai 8291 7676 1364 263 9.5k

All Works

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2026