Rianne Fijten

1.4k total citations
49 papers, 906 citations indexed

About

Rianne Fijten is a scholar working on General Health Professions, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rianne Fijten has authored 49 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 15 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rianne Fijten's 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). Rianne Fijten is often cited by papers focused on 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). Rianne Fijten collaborates with scholars based in Netherlands, United States and Ethiopia. Rianne Fijten's co-authors include Frederik‐Jan van Schooten, Agnieszka Smolinska, Jan W. Dallinga, André Dekker, Agnes W. Boots, Jan Baumbach, Anne-Christin Hauschild, Ellen E. Stobberingh, Marie‐Louise Boumans and Adriana Berlanga and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Rianne Fijten

46 papers receiving 900 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rianne Fijten Netherlands 14 418 165 150 148 118 49 906
C. William Hanson United States 18 492 1.2× 75 0.5× 78 0.5× 115 0.8× 130 1.1× 48 1.3k
Tianyu Liu China 20 184 0.4× 344 2.1× 336 2.2× 188 1.3× 48 0.4× 100 2.0k
Emily Stone Australia 15 153 0.4× 243 1.5× 309 2.1× 341 2.3× 47 0.4× 64 1.1k
David D. Koch United States 20 95 0.2× 170 1.0× 52 0.3× 76 0.5× 33 0.3× 51 1.3k
Yi Tsong United States 21 112 0.3× 235 1.4× 50 0.3× 168 1.1× 20 0.2× 96 2.1k
Guangming Ye China 16 260 0.6× 387 2.3× 329 2.2× 297 2.0× 44 0.4× 43 2.9k
Dandan Chen China 18 109 0.3× 249 1.5× 58 0.4× 187 1.3× 21 0.2× 86 976
Swapnil Tiwari India 10 196 0.5× 167 1.0× 32 0.2× 44 0.3× 33 0.3× 16 840
Jennifer L. Johnson United States 20 129 0.3× 225 1.4× 411 2.7× 437 3.0× 54 0.5× 54 1.5k

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
1.
Schmidt, Eva, Paul Martin Putora, & Rianne Fijten. (2025). The Epistemic Cost of Opacity: How the Use of Artificial Intelligence Undermines the Knowledge of Medical Doctors in High-Stakes Contexts. Philosophy & Technology. 38(1). 1 indexed citations
2.
Boersma, Liesbeth, et al.. (2025). Criteria for establishing a centre of excellence in oncology: a scoping review. BMC Health Services Research. 25(1). 981–981.
3.
Cloots, Michael, Jin Zhang, Iñigo Bermejo, et al.. (2025). P0956 Predicting Clinical Remission in Crohn’s Disease: A Comparative Study of Expert-Generated and Computer-Generated Bayesian Networks. Journal of Crohn s and Colitis. 19(Supplement_1). i1783–i1783. 1 indexed citations
4.
5.
Boersma, Liesbeth, et al.. (2024). Implementation Strategy for Artificial Intelligence in Radiotherapy: Can Implementation Science Help?. JCO Clinical Cancer Informatics. 8(8). e2400101–e2400101. 4 indexed citations
6.
Fijten, Rianne, Liesbeth Boersma, Petros Kalendralis, et al.. (2023). External validation of a prediction model for timely implementation of innovations in radiotherapy. Radiotherapy and Oncology. 179. 109459–109459. 3 indexed citations
7.
Kalendralis, Petros, Richard Canters, Ana Vaniqui, et al.. (2023). Automatic quality assurance of radiotherapy treatment plans using Bayesian networks: A multi-institutional study. Frontiers in Oncology. 13. 1099994–1099994. 3 indexed citations
8.
Bermejo, Iñigo, Henk G. van der Poel, Ben Vanneste, et al.. (2023). A comparison of machine learning models for predicting urinary incontinence in men with localized prostate cancer. Frontiers in Oncology. 13. 1168219–1168219. 6 indexed citations
9.
Dekker, André, Cheryl Roumen, Dirk De Ruysscher, et al.. (2022). Clinician perspectives on clinical decision support systems in lung cancer: Implications for shared decision‐making. Health Expectations. 25(4). 1342–1351. 13 indexed citations
10.
Armeni, Kristijan, Loek Brinkman, Rickard Carlsson, et al.. (2021). Towards wide-scale adoption of open science practices: The role of open science communities. Science and Public Policy. 48(5). 605–611. 37 indexed citations
11.
Kalendralis, Petros, Richard Canters, Alan M. Kalet, et al.. (2021). External Validation of a Bayesian Network for Error Detection in Radiotherapy Plans. IEEE Transactions on Radiation and Plasma Medical Sciences. 6(2). 200–206. 5 indexed citations
12.
Ruysscher, Dirk De, Bart Reymen, Ruud Houben, et al.. (2021). Shared decision-making for prophylactic cranial irradiation in extensive-stage small-cell lung cancer: an exploratory study. Translational Lung Cancer Research. 10(7). 3120–3131. 9 indexed citations
13.
Zhovannik, Ivan, Suraj Pai, André Dekker, et al.. (2021). Radiomics integration into a picture archiving and communication system. Physics and Imaging in Radiation Oncology. 20. 30–33. 5 indexed citations
14.
Steffensen, Karina Dahl, et al.. (2021). Practitioners’ views on shared decision-making implementation: A qualitative study. PLoS ONE. 16(11). e0259844–e0259844. 13 indexed citations
15.
Zhovannik, Ivan, Johan Bussink, André Dekker, Rianne Fijten, & René Monshouwer. (2019). Volume Bias in Textural Radiomics. International Journal of Radiation Oncology*Biology*Physics. 105(1). S118–S119. 1 indexed citations
16.
Zhovannik, Ivan, Johan Bussink, Alberto Traverso, et al.. (2019). Learning from scanners: Bias reduction and feature correction in radiomics. Clinical and Translational Radiation Oncology. 19. 33–38. 64 indexed citations
17.
Lustberg, Tim, et al.. (2018). Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. Studies in health technology and informatics. 247. 855–859. 5 indexed citations
18.
Fijten, Rianne, Agnieszka Smolinska, Marjolein Drent, et al.. (2017). The necessity of external validation in exhaled breath research: a case study of sarcoidosis. Journal of Breath Research. 12(1). 16004–16004. 17 indexed citations
19.
Schnabel, Ronny M., Rianne Fijten, Agnieszka Smolinska, et al.. (2015). Analysis of volatile organic compounds in exhaled breath to diagnose ventilator-associated pneumonia. Scientific Reports. 5(1). 17179–17179. 135 indexed citations
20.
Fijten, Rianne, Danyel Jennen, & Joost H.M. van Delft. (2013). Pathways for Ligand Activated Nuclear Receptors to Unravel the Genomic Responses Induced by Hepatotoxicants. Current Drug Metabolism. 14(10). 1022–1028. 5 indexed citations

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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