Ilse Kant

31 papers receiving 869 citations

Ilse Kant's Hit Papers

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review 2022 · 296 citations
2960+1+2Years since publication50100150200250

Peers

Ilse Kant
Comparison fields: 5 of 123
  • Health Informatics 163
  • Critical Care and Intensive Care Medicine 113
  • Health Information Management 65
  • Geriatrics and Gerontology 38
  • Developmental Neuroscience 40
Replace Ira Hofer with:
Ira Hofer United States
Matthew M. Ruppert United States
Chris Giordano United States
Samir Kendale United States
Andrew Bishara United States
Allan F. Simpao United States
X. Borrat Spain
Jorge A. Gálvez United States
Anne de Hond Netherlands
Aman Mahajan United States
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Ilse Kant

Since Specialization
Citations

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

Fields of papers citing papers by Ilse Kant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ilse Kant, 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 Ilse Kant Line = papers co-authored together Ilse Kant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
Hit paper breakdown →
2022296
2 202187
3 201849
4 202343
5 201736
6 201530
7 202229
8 202426
9 202226
10 202424
11 202023
12 201822
13 202221
14 202219
15 202218
16 202116
17 202216
18 202015
19 201814
20 202413

About Ilse Kant

Ilse Kant is a scholar working on Critical Care and Intensive Care Medicine, Health Informatics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Developmental Neuroscience, having authored 33 papers that have together received 890 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (8 papers), Artificial Intelligence in Healthcare and Education (4 papers), Anesthesia and Neurotoxicity Research (3 papers), Dementia and Cognitive Impairment Research (3 papers), Machine Learning in Healthcare (2 papers), Anesthesia and Sedative Agents (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (163 citations), Critical Care and Intensive Care Medicine (113 citations), Health Information Management (65 citations), Geriatrics and Gerontology (38 citations) and Developmental Neuroscience (40 citations). Ilse Kant has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Ewout W. Steyerberg, Anne de Hond, Marieke van Buchem, Simone J.T. van Montfort, Arjen J. C. Slooter, Maarten van Smeden, Jeroen Hendrikse, Artuur Leeuwenberg, Hendrikus J. A. van Os and Niels H. Chavannes. Their work appears in journals such as npj Digital Medicine, Journal of Psychosomatic Research, Neurobiology of Aging, NeuroImage Clinical 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.

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