Diether Kramer

446 citations
39 papers · 256 · h-index 8

Impact in

Papers in

Diether Kramer

33 papers receiving 248 citations

Peers

Diether Kramer
Comparison fields: 5 of 79
  • Health Informatics 57
  • Critical Care and Intensive Care Medicine 86
  • Health Information Management 43
  • Anesthesiology and Pain Medicine 43
  • Developmental Neuroscience 16
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Hannah Watson United Kingdom
Scott C. Mackenzie United Kingdom
Michelle T. Vaughn United States
J. Nick Pratap United States
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Cédric Gil‐Jardine France
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Citations per field
00.5×10×14.3×
Hannah Watson · 1×
Citations per year

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-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.

Border = papers with Diether Kramer Line = papers co-authored together Diether Kramer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202044
2 202137
3 200124
4 201920
5 201715
6 202312
7 201911
8 20238
9 20196
10 20186
11 20226
12 20195
13 20235
14 20185
15
Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients.
20185
16 20225
17 20195
18 20204
19 20244
20 20194

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 256 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (20 papers), Intensive Care Unit Cognitive Disorders (8 papers), Artificial Intelligence in Healthcare (5 papers), Biomedical Text Mining and Ontologies (4 papers), Natural Language Processing Techniques (3 papers), Dysphagia Assessment and Management (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Health Informatics (57 citations), Critical Care and Intensive Care Medicine (86 citations), Health Information Management (43 citations), Anesthesiology and Pain Medicine (43 citations) and Developmental Neuroscience (16 citations). Diether Kramer has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Andrea Berghold, Alexander Avian, Stefan Schulz, Dieter Hayn, G. Schreier, Doris Preininger, Markus Boeckle, Franz Quehenberger, Mary Margaret Kerr and Richard Henker. Their work appears in journals such as Journal of Medical Systems, BMC Medical Informatics and Decision Making, Scientific Reports, IEEE Journal of Biomedical and Health Informatics and Journal of Neurology.

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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