Maria Jacobs

549 total citations
22 papers, 218 citations indexed

About

Maria Jacobs is a scholar working on Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health and Sociology and Political Science. According to data from OpenAlex, Maria Jacobs has authored 22 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Sociology and Political Science. Recurrent topics in Maria Jacobs's work include Advances in Oncology and Radiotherapy (14 papers), Delphi Technique in Research (5 papers) and Health and Medical Research Impacts (3 papers). Maria Jacobs is often cited by papers focused on Advances in Oncology and Radiotherapy (14 papers), Delphi Technique in Research (5 papers) and Health and Medical Research Impacts (3 papers). Maria Jacobs collaborates with scholars based in Netherlands, United States and Switzerland. Maria Jacobs's co-authors include André Dekker, Philippe Lambin, A. Minken, S. Nijsten, Wouter J. C. van Elmpt, Ben J. Mijnheer, Liesbeth Boersma, Carol Xiaojuan Ou, Gaby Odekerken‐Schröder and Frits van Merode and has published in prestigious journals such as Medical Physics, Radiotherapy and Oncology and BMC Health Services Research.

In The Last Decade

Maria Jacobs

16 papers receiving 211 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Jacobs Netherlands 7 104 85 79 25 23 22 218
Charisma Hehakaya Netherlands 5 34 0.3× 126 1.5× 39 0.5× 5 0.2× 19 0.8× 10 240
Sunil Xavier Raj Norway 9 21 0.2× 31 0.4× 38 0.5× 2 0.1× 19 0.8× 17 237
Daniel G. Hamilton Australia 11 18 0.2× 21 0.2× 18 0.2× 2 0.1× 24 1.0× 27 337
J Williamson United States 10 126 1.2× 79 0.9× 85 1.1× 3 0.1× 45 2.0× 23 302
Jim Malone Ireland 8 15 0.1× 91 1.1× 11 0.1× 8 0.3× 87 3.8× 15 313
Marie-Andrée Fortin Canada 7 33 0.3× 12 0.1× 23 0.3× 3 0.1× 15 0.7× 14 110
Jeffrey J Williamson United States 8 8 0.1× 35 0.4× 10 0.1× 8 0.3× 168 7.3× 10 404
R. van den Hoven van Genderen Netherlands 5 6 0.1× 303 3.6× 18 0.2× 2 0.1× 16 0.7× 8 453
Peter Paul Yu United States 9 4 0.0× 52 0.6× 21 0.3× 1 0.0× 25 1.1× 25 277
Stephen Dean United States 5 4 0.0× 64 0.8× 21 0.3× 3 0.1× 19 0.8× 8 221

Countries citing papers authored by Maria Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Maria Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Jacobs

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Jacobs. A scholar is included among the top collaborators of Maria Jacobs 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 Maria Jacobs. Maria Jacobs 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
2.
Verhaegen, Frank, Stefan Scheib, Maria Jacobs, et al.. (2025). Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy. Journal of Applied Clinical Medical Physics. 26(6). e70071–e70071.
3.
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.
4.
Ho, Felix, et al.. (2025). The road to successful implementation of innovation in radiotherapy: A research-based implementation protocol. Radiotherapy and Oncology. 207. 110874–110874.
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.
7.
Jacobs, Maria, Maarten L.P. Dirkx, Katrien De Jaeger, et al.. (2024). A taskforce for national improvement of innovation implementation in radiotherapy. Radiotherapy and Oncology. 192. 110105–110105. 2 indexed citations
8.
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
9.
Odekerken‐Schröder, Gaby, et al.. (2022). Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study. BMC Health Services Research. 22(1). 890–890. 35 indexed citations
10.
Boersma, Liesbeth, et al.. (2022). Clues to address barriers for access to proton therapy in the Netherlands. Radiotherapy and Oncology. 178. 109432–109432. 4 indexed citations
11.
Jacobs, Maria, Linda G.W. Kerkmeijer, Dirk De Ruysscher, et al.. (2021). Implementation of MR-linac and proton therapy in two radiotherapy departments in The Netherlands: Recommendations based on lessons learned. Radiotherapy and Oncology. 167. 14–24. 6 indexed citations
12.
Jacobs, Maria, et al.. (2019). Electronic Health Record implementation in a large academic radiotherapy department: Temporarily disruptions but long-term benefits. International Journal of Medical Informatics. 129. 342–348. 6 indexed citations
13.
Jacobs, Maria, et al.. (2018). [Implementation of innovations in healthcare: radiotherapy as an example].. PubMed. 162. 1 indexed citations
14.
Bergs, Jochen, et al.. (2017). The effects of a lean transition on process times, patients and employees. International Journal of Health Care Quality Assurance. 30(2). 103–118. 34 indexed citations
15.
Jacobs, Maria, Liesbeth Boersma, André Dekker, et al.. (2017). What is the impact of innovation on output in healthcare with a special focus on treatment innovations in radiotherapy? A literature review. British Journal of Radiology. 90(1079). 20170251–20170251. 12 indexed citations
16.
Jacobs, Maria, Liesbeth Boersma, Frits van Merode, et al.. (2016). How efficient is translational research in radiation oncology? The example of a large Dutch academic radiation oncology department. British Journal of Radiology. 89(1064). 20160129–20160129. 6 indexed citations
17.
Jacobs, Maria, Liesbeth Boersma, André Dekker, et al.. (2016). What is the degree of innovation routinely implemented in Dutch radiotherapy centres? A multicentre cross-sectional study. British Journal of Radiology. 89(1067). 20160601–20160601. 8 indexed citations
18.
Jacobs, Maria, Liesbeth Boersma, André Dekker, et al.. (2015). How to measure innovation in radiotherapy: an application of the Delphi method. Journal of Hospital Administration. 4(4). 14–14. 3 indexed citations
19.
Nijsten, S., Wouter J. C. van Elmpt, Maria Jacobs, et al.. (2007). A global calibration model for EPIDs used for transit dosimetry. Medical Physics. 34(10). 3872–3884. 83 indexed citations
20.
Jacobs, Maria, S. Nijsten, Philippe Lambin, & A. Minken. (2005). 6 Dosimetric calibration of a Siemens OptiVue 500 amorphous silicon electronic portal imaging device. Radiotherapy and Oncology. 76. S15–S16.

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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