Diether Kramer

446 total citations
39 papers, 256 citations indexed

About

Diether Kramer is a scholar working on Artificial Intelligence, Critical Care and Intensive Care Medicine and Health Information Management. According to data from OpenAlex, Diether Kramer has authored 39 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 9 papers in Critical Care and Intensive Care Medicine and 8 papers in Health Information Management. Recurrent topics in Diether Kramer's work include Machine Learning in Healthcare (20 papers), Intensive Care Unit Cognitive Disorders (8 papers) and Artificial Intelligence in Healthcare (5 papers). Diether Kramer is often cited by papers focused on Machine Learning in Healthcare (20 papers), Intensive Care Unit Cognitive Disorders (8 papers) and Artificial Intelligence in Healthcare (5 papers). Diether Kramer collaborates with scholars based in Austria, Germany and Switzerland. Diether Kramer's co-authors include Alexander Avian, Stefan Schulz, Andrea Berghold, Dieter Hayn, G. Schreier, Doris Preininger, Markus Boeckle, Franz Quehenberger, S. Rogers and Mary Margaret Kerr and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Diether Kramer

33 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diether Kramer Austria 8 86 58 57 43 43 39 256
Hannah Watson United Kingdom 9 57 0.7× 50 0.9× 22 0.4× 17 0.4× 3 0.1× 19 270
Cédric Gil‐Jardine France 9 17 0.2× 21 0.4× 40 0.7× 3 0.1× 20 0.5× 41 322
Scott C. Mackenzie United Kingdom 10 36 0.4× 7 0.1× 11 0.2× 18 0.4× 7 0.2× 22 246
J. Nick Pratap United States 10 44 0.5× 10 0.2× 4 0.1× 9 0.2× 81 1.9× 19 307
Harsheen Kaur United States 9 20 0.2× 18 0.3× 11 0.2× 10 0.2× 2 0.0× 17 232
Stephanie Helman United States 6 4 0.0× 30 0.5× 41 0.7× 20 0.5× 5 0.1× 18 242
Stephanie Frisch United States 8 6 0.1× 33 0.6× 27 0.5× 22 0.5× 3 0.1× 21 272
Craig Futterman United States 6 8 0.1× 6 0.1× 7 0.1× 15 0.3× 40 0.9× 11 273
Samer Elkhodair United Kingdom 8 15 0.2× 12 0.2× 6 0.1× 8 0.2× 14 0.3× 14 225
Hani N. Mufti Saudi Arabia 8 66 0.8× 7 0.1× 6 0.1× 2 0.0× 38 0.9× 28 192

Countries citing papers authored by Diether Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Diether Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diether Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of Diether Kramer. A scholar is included among the top collaborators of Diether Kramer 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 Diether Kramer. Diether Kramer 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.
Kramer, Diether, Michael Schrempf, Edith Hofer, et al.. (2025). Predicting delirium in acute ischemic stroke: the PREDELIS score. Journal of Neurology. 272(6). 391–391.
2.
Kramer, Diether, et al.. (2024). Machine learning-based delirium prediction in surgical in-patients: a prospective validation study. JAMIA Open. 7(3). ooae091–ooae091. 1 indexed citations
3.
Kramer, Diether, et al.. (2024). Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study. Studies in health technology and informatics. 313. 156–157. 1 indexed citations
4.
Gugatschka, Markus, et al.. (2024). Clinical evaluation of a machine learning-based dysphagia risk prediction tool. European Archives of Oto-Rhino-Laryngology. 281(8). 4379–4384. 4 indexed citations
5.
Schrempf, Michael, Elen Almeida Romão, Diether Kramer, et al.. (2024). Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretability. PLoS ONE. 19(10). e0311719–e0311719. 2 indexed citations
6.
Madan, Sumit, et al.. (2023). A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression. IEEE Journal of Biomedical and Health Informatics. 27(9). 4548–4558. 12 indexed citations
7.
Kramer, Diether, et al.. (2023). Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data. Studies in health technology and informatics. 301. 212–219. 1 indexed citations
8.
Kneihsl, Markus, Susanna Horner, Diether Kramer, et al.. (2023). Long-term risk of recurrent cerebrovascular events after patent foramen ovale closure: Results from a real-world stroke cohort. European Stroke Journal. 8(4). 1021–1029. 5 indexed citations
9.
Kramer, Diether, et al.. (2023). Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study. Dysphagia. 38(4). 1238–1246. 8 indexed citations
10.
Kramer, Diether, et al.. (2023). Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1. Studies in health technology and informatics. 301. 20–25. 1 indexed citations
11.
Kramer, Diether, et al.. (2021). Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. Journal of Medical Systems. 45(4). 52–52. 3 indexed citations
12.
Kramer, Diether, et al.. (2021). Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. Journal of Medical Systems. 45(4). 48–48. 37 indexed citations
13.
Kramer, Diether, et al.. (2020). Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study. Journal of the American Medical Informatics Association. 27(9). 1383–1392. 44 indexed citations
14.
Kramer, Diether, et al.. (2020). Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning. Studies in health technology and informatics. 271. 31–38. 4 indexed citations
15.
Hayn, Dieter, et al.. (2019). An Improvised Classification Model for Predicting Delirium. Studies in health technology and informatics. 264. 1566–1567. 6 indexed citations
16.
Kramer, Diether, et al.. (2019). A novel hybrid modeling approach for the evaluation of integrated care and economic outcome in heart failure treatment. BMC Medical Informatics and Decision Making. 19(1). 229–229. 5 indexed citations
17.
Kramer, Diether, et al.. (2019). Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice. Studies in health technology and informatics. 264. 173–177. 11 indexed citations
18.
Hayn, Dieter, et al.. (2018). Predictive analytics for data driven decision support in health and care. it - Information Technology. 60(4). 183–194. 5 indexed citations
19.
Kreuzthaler, Markus, Bastian Pfeifer, Diether Kramer, et al.. (2018). EHR Text Categorization for Enhanced Patient-Based Document Navigation. Studies in health technology and informatics. 248. 100–107.
20.
Kramer, Diether. (2014). Der Wandel der Mortalität. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 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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