Rianne Fijten

1.4k citations
49 papers · 906 indexed · h-index 14
Topics
Radiomics and Machine Learning in Medical Imaging (11 papers)Patient-Provider Communication in Healthcare (10 papers)Palliative Care and End-of-Life Issues (6 papers)

In The Last Decade

Rianne Fijten

46 papers receiving 900 citations

Peers

Rianne Fijten
Comparison fields: 5 of 146
  • Biomedical Engineering 418
  • Molecular Biology 165
  • Radiology, Nuclear Medicine and Imaging 150
  • Pulmonary and Respiratory Medicine 148
  • General Health Professions 118
Replace C. William Hanson with:
C. William Hanson United States
Guangming Ye China
Emily Stone Australia
Xiaofen Li China
Yi Ye China
Tianyu Liu China
Laura H. Goetz United States
Josch K. Pauling Germany
Dong Eun Lee South Korea
Yixuan Wang China
Rianne Fijten relative to C. William Hanson United States C. William Hanson's profile →
Citations per field
00.5×1.5×2.2×
C. William Hanson · 1×
Citations per year

Countries citing papers authored by Rianne Fijten

Since Specialization
Citations

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

Fields of papers citing papers by Rianne Fijten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rianne Fijten

This figure shows the co-authorship network connecting the top 25 collaborators of Rianne Fijten. A scholar is included among the top collaborators of Rianne Fijten 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 Rianne Fijten. Rianne Fijten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 2
5 4
6 2
7 3
8 6
9 3
10 37
11 5
12 13
13 5
14 9
15 41
16 1
17 17
18 135
19 165
20 5

About Rianne Fijten

Rianne Fijten is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and General Health Professions, having authored 49 papers that have together received 906 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Patient-Provider Communication in Healthcare (10 papers) and Palliative Care and End-of-Life Issues (6 papers). The work is most often cited by research in Health Informatics (34 citations), Sensory Systems (54 citations) and Biomedical Engineering (418 citations). Rianne Fijten has collaborated with scholars based in Netherlands, United States and Ethiopia. Frequent co-authors include Frederik‐Jan van Schooten, Agnieszka Smolinska, Jan W. Dallinga, André Dekker, Agnes W. Boots, Anne-Christin Hauschild, Jan Baumbach, Marie‐Louise Boumans, Ellen E. Stobberingh and Adriana Berlanga. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

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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