Diether Kramer
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Intensive Care Unit Cognitive Disorders
- Thermal Regulation in Medicine
Papers in
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- Machine Learning in Healthcare 15
- Natural Language Processing Techniques 2
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- Intensive Care Unit Cognitive Disorders 7
- Co-authors
- Stefan Schulz (4 shared papers)Alexander Avian (3 shared papers)Andrea Berghold (3 shared papers)Markus Boeckle (1 shared paper)Doris Preininger (1 shared paper)Dieter Hayn (7 shared papers)Mary Margaret Kerr (1 shared paper)Richard Henker (1 shared paper)
In The Last Decade
Diether Kramer
34 papers receiving 267 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 52
- Critical Care and Intensive Care Medicine 85
- Health Information Management 28
- Anesthesiology and Pain Medicine 17
- Speech and Hearing 16
Countries citing papers authored by Diether Kramer
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
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-authors
The 25 scholars most cited alongside Diether Kramer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 45 | |
| 2 | 2021 | 42 | |
| 3 | 2001 | 24 | |
| 4 | 2019 | 22 | |
| 5 | 2017 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2019 | 11 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2018 | 5 | |
| 18 | Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients. | 2018 | 5 |
| 19 | 2023 | 5 | |
| 20 | 2024 | 4 |
About Diether Kramer
Diether Kramer is a scholar working on Artificial Intelligence, Critical Care and Intensive Care Medicine, Health Information Management, Surgery and Molecular Biology, having authored 39 papers that have together received 277 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (15 papers), Intensive Care Unit Cognitive Disorders (7 papers), Dysphagia Assessment and Management (3 papers), Biomedical Text Mining and Ontologies (3 papers), Natural Language Processing Techniques (2 papers), Artificial Intelligence in Healthcare (2 papers), Healthcare Technology and Patient Monitoring (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (52 citations), Critical Care and Intensive Care Medicine (85 citations), Health Information Management (28 citations), Anesthesiology and Pain Medicine (17 citations) and Speech and Hearing (16 citations). Diether Kramer has collaborated with scholars based in Austria, Germany and Brazil. Frequent co-authors include Stefan Schulz, Alexander Avian, Andrea Berghold, Markus Boeckle, Doris Preininger, Dieter Hayn, Mary Margaret Kerr, Richard Henker, Franz Quehenberger and S. Rogers. Their work appears in journals such as BMC Medical Informatics and Decision Making, Journal of Medical Systems, European Stroke Journal, Scientific Reports and Journal of the American Medical Informatics Association.
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.