Kim Luijken
- Statistics and Probability top 5%
- Obstetrics and Gynecology top 10%
- Economics and Econometrics
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Co-authors
- Rolf H. H. GroenwoldMaarten van SmedenBen Van CalsterEwout W. SteyerbergA. Titia LelyArie FranxNina D. PaauwMarianne C. Verhaar
- Topics
- Health Systems, Economic Evaluations, Quality of Life (8 papers)Advanced Causal Inference Techniques (8 papers)Statistical Methods in Clinical Trials (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicineBMJ
- Partner nations
- NetherlandsBelgiumUnited Kingdom
In The Last Decade
Kim Luijken
23 papers receiving 315 citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 65
- Obstetrics and Gynecology 63
- Economics and Econometrics 53
- Artificial Intelligence 49
- Cardiology and Cardiovascular Medicine 48
Countries citing papers authored by Kim Luijken
This map shows the geographic impact of Kim Luijken'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 Kim Luijken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Luijken more than expected).
Fields of papers citing papers by Kim Luijken
This network shows the impact of papers produced by Kim Luijken. 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 Kim Luijken. The network helps show where Kim Luijken may publish in the future.
Co-authorship network of co-authors of Kim Luijken
This figure shows the co-authorship network connecting the top 25 collaborators of Kim Luijken. A scholar is included among the top collaborators of Kim Luijken 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 Kim Luijken. Kim Luijken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | 19 | |
| 17 | 58 | |
| 18 | 4 | |
| 19 | 27 | |
| 20 | 3 |
About Kim Luijken
Kim Luijken is a scholar working on Statistics and Probability, Geriatrics and Gerontology and Statistics, Probability and Uncertainty, having authored 26 papers that have together received 323 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Advanced Causal Inference Techniques (8 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Obstetrics and Gynecology (63 citations), Statistics and Probability (65 citations) and Health Informatics (6 citations). Kim Luijken has collaborated with scholars based in Netherlands, Belgium and United Kingdom. Frequent co-authors include Rolf H. H. Groenwold, Maarten van Smeden, Ben Van Calster, Ewout W. Steyerberg, A. Titia Lely, Arie Franx, Nina D. Paauw, Marianne C. Verhaar, Nan van Geloven and Saskia le Cessie. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and BMJ.
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.