Ilse Kant
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Intensive Care Unit Cognitive Disorders
Papers in
-
- Artificial Intelligence in Healthcare and Education 6
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- Intensive Care Unit Cognitive Disorders 9
- Co-authors
- Ewout W. SteyerbergAnne de HondSimone J.T. van MontfortArjen J. C. SlooterMarieke van BuchemHendrikus J. A. van OsMaarten van SmedenNiels H. Chavannes
- Journals
- npj Digital Medicine (3 papers)NeuroImage Clinical (2 papers)Neurobiology of Aging (2 papers)Journal of Psychosomatic Research (2 papers)JAMA (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Ilse Kant
30 papers receiving 798 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Health Informatics 196
- Critical Care and Intensive Care Medicine 117
- Health Information Management 98
- Developmental Neuroscience 71
- Geriatrics and Gerontology 46
Countries citing papers authored by Ilse Kant
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 9 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 21 | |
| 6 | 2024 | 20 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 16 | |
| 9 | Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review Hit paper breakdown → | 2022 | 279 |
| 10 | 2022 | 23 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 26 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 15 | |
| 17 | 2018 | 14 | |
| 18 | 2018 | 21 | |
| 19 | 2017 | 34 | |
| 20 | 2015 | 30 |
About Ilse Kant
Ilse Kant is a scholar working on Health Informatics, Critical Care and Intensive Care Medicine, Developmental Neuroscience, Health Information Management and Issues, ethics and legal aspects, having authored 32 papers that have together received 819 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (9 papers), Artificial Intelligence in Healthcare and Education (6 papers), Machine Learning in Healthcare (5 papers), Anesthesia and Neurotoxicity Research (4 papers), Functional Brain Connectivity Studies (4 papers), Anesthesia and Sedative Agents (4 papers), Dementia and Cognitive Impairment Research (3 papers) and Cancer survivorship and care (3 papers). The work is most often cited by research in Health Informatics (196 citations), Critical Care and Intensive Care Medicine (117 citations), Health Information Management (98 citations), Developmental Neuroscience (71 citations) and Geriatrics and Gerontology (46 citations). Ilse Kant has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Ewout W. Steyerberg, Anne de Hond, Simone J.T. van Montfort, Arjen J. C. Slooter, Marieke van Buchem, Hendrikus J. A. van Os, Maarten van Smeden, Niels H. Chavannes, Artuur Leeuwenberg and Jeroen Hendrikse. Their work appears in journals such as npj Digital Medicine, NeuroImage Clinical, Neurobiology of Aging, Journal of Psychosomatic Research and JAMA.
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.