Standout Papers

Potential, challenge... 1998 2026 2007 2016 705
  1. Potential, challenges and future directions for deep learning in prognostics and health management applications (2020)
    Olga Fink, Qin Wang et al. Engineering Applications of Artificial Intelligence
  2. GTM: The Generative Topographic Mapping (1998)
    Chris Bishop, Markus Svensén et al. Neural Computation

Citation Impact

5 by Nobel laureates 37 from Science/Nature 66 standout
Sub-graph 1 of 22

Citing Papers

A multimodal generative AI copilot for human pathology
2024 StandoutNature
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
1 intermediate paper

Works of Markus Svensén being referenced

Potential, challenges and future directions for deep learning in prognostics and health management applications
2020 Standout

Author Peers

Author Artificial Intelligence CSE CVPR Last Decade Papers Cites
Markus Svensén 601 278 379 12 1.8k
Malcolm A. Cunningham 8 511
Robert Finking 11 1.6k
Omer F. Eker 26 193 2 15 294
Simon Hafner 12 505
Nélio Henderson 115 85 12 39 466

All Works

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2026