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Diether Kramer
ResearcherPublications, citations & collaboration network
Diether Kramer is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 56 works, 488 citations, an h-index of 11 and an i10-index of 14.
56
Works
488
Citations
11
h-index
14
i10-index
IDs:OpenAlex
How has Diether Kramer's publication output changed over time?
ScholarIQpublication output · 2001–2023
Output grew100% over the shown period — from 1 works in 2001 to 2 in 2023.
1
1
2
1
2
1
2
2001201720192020202120222023
What are the most-cited papers on Diether Kramer?
ScholarIQmost cited works
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study
Stefanie Jauk, Diether Kramer, Birgit Großauer, Susanne Rienmüller, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
Journal of the American Medical Informatics Association. 202087 CitationsOPEN ACCESS
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study
Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
Journal of Medical Systems. 202158 CitationsOPEN ACCESS
Comparison of fever treatments in the critically ill: a pilot study
Richard Henker, S. Rogers, Diether Kramer, Lynn A. Kelso, Mary Margaret Kerr, S Sereika
S76904441. 200131 Citations
Waste Disposal Sites as All-You-Can Eat Buffets for Carrion Crows (Corvus corone)
Doris Preininger, Bjoern Schoas, Diether Kramer, Markus Boeckle
S4210168508. 201931 CitationsOPEN ACCESS
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression
Manuel Lentzen, Thomas Lindén, Sai Veeranki, Sumit Madan, Diether Kramer, Werner Leodolter, Holger Fröhlich
IEEE Journal of Biomedical and Health Informatics. 202326 CitationsOPEN ACCESS
Related on ScholarIQ
Medical University of Graz
Institution
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study
Paper
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study
Paper
Comparison of fever treatments in the critically ill: a pilot study
Paper
Waste Disposal Sites as All-You-Can Eat Buffets for Carrion Crows (Corvus corone)
Paper
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression
Paper