Lilian Minne
- Epidemiology top 10%
- Surgery
- Cardiology and Cardiovascular Medicine
- Emergency Medicine top 5%
- Critical Care and Intensive Care Medicine top 5%
- Co-authors
- Ameen Abu‐HannaEvert de JongeJeroen LudikhuizeSaeid EslamiNicolette F. de KeizerSophia de RooijSophia E. J. A. de RooijTudor Toma
- Topics
- Sepsis Diagnosis and Treatment (5 papers)Machine Learning in Healthcare (3 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)
- Partner nations
- NetherlandsSwitzerland
In The Last Decade
Lilian Minne
10 papers receiving 601 citations
Peers
Comparison fields: 5 of 87
- Epidemiology 351
- Surgery 158
- Cardiology and Cardiovascular Medicine 128
- Emergency Medicine 117
- Critical Care and Intensive Care Medicine 93
Countries citing papers authored by Lilian Minne
This map shows the geographic impact of Lilian Minne'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 Lilian Minne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lilian Minne more than expected).
Fields of papers citing papers by Lilian Minne
This network shows the impact of papers produced by Lilian Minne. 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 Lilian Minne. The network helps show where Lilian Minne may publish in the future.
Co-authorship network of co-authors of Lilian Minne
This figure shows the co-authorship network connecting the top 25 collaborators of Lilian Minne. A scholar is included among the top collaborators of Lilian Minne 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 Lilian Minne. Lilian Minne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Mortality prediction in the intensive care: Role of mathematical models in benchmarking and decision-making | 2 |
| 2 | 11 | |
| 3 | 18 | |
| 4 | Five years of therapeutic drug monitoring in the intensive care did not change vancomycin prescription behaviour: perceived needs for decision support. | 10 |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 77 | |
| 8 | 17 | |
| 9 | 57 | |
| 10 | 395 |
About Lilian Minne
Lilian Minne is a scholar working on Geriatrics and Gerontology, Applied Microbiology and Biotechnology and Demography, having authored 10 papers that have together received 614 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (5 papers), Machine Learning in Healthcare (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (93 citations), Health Informatics (18 citations) and Emergency Medicine (117 citations). Lilian Minne has collaborated with scholars based in Netherlands and Switzerland. Frequent co-authors include Ameen Abu‐Hanna, Evert de Jonge, Jeroen Ludikhuize, Saeid Eslami, Nicolette F. de Keizer, Sophia de Rooij, Sophia E. J. A. de Rooij, Tudor Toma and Dave A. Dongelmans. Their work appears in journals such as Journal of the American Geriatrics Society, Intensive Care Medicine and Critical Care.
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.