Aniek F. Markus
- Artificial Intelligence top 5%
- Health Informatics top 0.5%
- Radiology, Nuclear Medicine and Imaging
- Health Information Management top 2%
- Safety Research top 10%
- Co-authors
- Peter R. RijnbeekJan A. KorsCynthia YangLuis H. JohnRoss D. WilliamsMaria de RidderErik M. van MulligenEgill A. Friðgeirsson
- Topics
- Machine Learning in Healthcare (7 papers)Artificial Intelligence in Healthcare and Education (4 papers)Sepsis Diagnosis and Treatment (3 papers)
- Journals
- European Journal of Operational ResearchJournal of the American Medical Informatics AssociationFrontiers in Pharmacology
- Partner nations
- NetherlandsUnited StatesBelgium
In The Last Decade
Aniek F. Markus
12 papers receiving 519 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 304
- Health Informatics 197
- Radiology, Nuclear Medicine and Imaging 70
- Health Information Management 65
- Safety Research 51
Countries citing papers authored by Aniek F. Markus
This map shows the geographic impact of Aniek F. Markus'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 Aniek F. Markus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aniek F. Markus more than expected).
Fields of papers citing papers by Aniek F. Markus
This network shows the impact of papers produced by Aniek F. Markus. 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 Aniek F. Markus. The network helps show where Aniek F. Markus may publish in the future.
Co-authorship network of co-authors of Aniek F. Markus
This figure shows the co-authorship network connecting the top 25 collaborators of Aniek F. Markus. A scholar is included among the top collaborators of Aniek F. Markus 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 Aniek F. Markus. Aniek F. Markus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 39 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 37 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategiesbreakdown → | 419 |
| 12 | 6 |
About Aniek F. Markus
Aniek F. Markus is a scholar working on Health Informatics, Issues, ethics and legal aspects and Transplantation, having authored 12 papers that have together received 527 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Sepsis Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (197 citations), Health Information Management (65 citations) and Artificial Intelligence (304 citations). Aniek F. Markus has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Peter R. Rijnbeek, Jan A. Kors, Cynthia Yang, Luis H. John, Ross D. Williams, Maria de Ridder, Erik M. van Mulligen, Egill A. Friðgeirsson, Joris van de Klundert and Katia Verhamme. Their work appears in journals such as European Journal of Operational Research, Journal of the American Medical Informatics Association and Frontiers in Pharmacology.
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.