D. Rietveld

8.4k total citations · 3 hit papers
34 papers, 6.2k citations indexed

About

D. Rietveld is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, D. Rietveld has authored 34 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Otorhinolaryngology, 16 papers in Pulmonary and Respiratory Medicine and 11 papers in Oncology. Recurrent topics in D. Rietveld's work include Head and Neck Cancer Studies (22 papers), Oral health in cancer treatment (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). D. Rietveld is often cited by papers focused on Head and Neck Cancer Studies (22 papers), Oral health in cancer treatment (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). D. Rietveld collaborates with scholars based in Netherlands, United States and Canada. D. Rietveld's co-authors include C. René Leemans, Philippe Lambin, Michelle M. Rietbergen, Hugo J.W.L. Aerts, Patrick Großmann, Chintan Parmar, Ralph T. H. Leijenaar, Emmanuel Rios Velazquez, Benjamin Haibe‐Kains and Johan Bussink and has published in prestigious journals such as Nature Communications, Annals of Surgery and Scientific Reports.

In The Last Decade

D. Rietveld

31 papers receiving 6.1k citations

Hit Papers

Decoding tumour phenotype... 2014 2026 2018 2022 2014 2015 2015 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
    2014 3.6k citations Hugo J.W.L. Aerts, Emmanuel Rios Velazquez et al. Nature Communications profile →
  2. Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
    2015 358 citations Chintan Parmar, Ralph T. H. Leijenaar et al. Scientific Reports profile →
  3. Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
    2015 297 citations Chintan Parmar, Patrick Großmann et al. Frontiers in Oncology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
D. Rietveld 4.4k 2.4k 1.3k 1.2k 1.1k 34 6.2k
Frank Hoebers 4.8k 1.1× 2.7k 1.1× 1.5k 1.2× 1.5k 1.2× 1.2k 1.1× 147 7.5k
Sara Carvalho 8.9k 2.0× 3.5k 1.5× 1.7k 1.4× 464 0.4× 2.5k 2.2× 37 9.9k
Michelle M. Rietbergen 4.2k 0.9× 1.8k 0.7× 919 0.7× 637 0.5× 1.1k 1.0× 10 5.0k
Luca Cozzi 5.1k 1.1× 6.4k 2.7× 1.0k 0.8× 602 0.5× 1.3k 1.1× 283 10.5k
Balaji Ganeshan 6.0k 1.4× 2.5k 1.0× 1.8k 1.4× 189 0.2× 1.3k 1.1× 115 7.2k
C. Fiorino 3.3k 0.7× 4.7k 2.0× 945 0.8× 634 0.5× 816 0.7× 323 7.3k
Janita E. van Timmeren 5.5k 1.2× 2.2k 0.9× 1.1k 0.9× 250 0.2× 1.6k 1.4× 49 6.3k
Catharina M.L. Zegers 4.5k 1.0× 1.8k 0.7× 956 0.8× 204 0.2× 1.2k 1.0× 56 5.5k
Ruud G.P.M. van Stiphout 4.4k 1.0× 1.9k 0.8× 1.4k 1.1× 217 0.2× 1.1k 1.0× 22 5.6k
X. Allen Li 4.1k 0.9× 3.6k 1.5× 993 0.8× 278 0.2× 859 0.7× 179 7.1k

Countries citing papers authored by D. Rietveld

Since Specialization
Citations

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

Fields of papers citing papers by D. Rietveld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Rietveld

This figure shows the co-authorship network connecting the top 25 collaborators of D. Rietveld. A scholar is included among the top collaborators of D. Rietveld 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 D. Rietveld. D. Rietveld 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.
Bloemena, Elisabeth, et al.. (2018). The irradiated human mandible: A quantitative study on bone vascularity. Oral Oncology. 87. 126–130. 23 indexed citations
2.
Uden–Kraan, Cornelia F. van, Birgit I. Lissenberg‐Witte, Cees J. T. de Goede, et al.. (2016). Prophylactic exercises among head and neck cancer patients during and after swallowing sparing intensity modulated radiation: adherence and exercise performance levels of a 12-week guided home-based program. European Archives of Oto-Rhino-Laryngology. 274(2). 1129–1138. 45 indexed citations
3.
Parmar, Chintan, Patrick Großmann, D. Rietveld, et al.. (2015). Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer. Frontiers in Oncology. 5. 272–272. 297 indexed citations breakdown →
4.
Parmar, Chintan, Ralph T. H. Leijenaar, Patrick Großmann, et al.. (2015). Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer. Scientific Reports. 5(1). 11044–11044. 358 indexed citations breakdown →
5.
Boekel, Naomi B., Michael Schaapveld, Jourik A. Gietema, et al.. (2015). Cardiovascular Disease Risk in a Large, Population-Based Cohort of Breast Cancer Survivors. International Journal of Radiation Oncology*Biology*Physics. 94(5). 1061–1072. 91 indexed citations
6.
Uden–Kraan, Cornelia F. van, Rico N. P. M. Rinkel, Remco de Bree, et al.. (2014). Multimodal Guided Self-Help Exercise Program to Prevent Speech, Swallowing, and Shoulder Problems Among Head and Neck Cancer Patients: A Feasibility Study. Journal of Medical Internet Research. 16(3). e74–e74. 44 indexed citations
7.
Leeuw, Irma M. Verdonck‐de, Laurien M. Buffart, Martijn W. Heymans, et al.. (2014). The course of health-related quality of life in head and neck cancer patients treated with chemoradiation: A prospective cohort study. Radiotherapy and Oncology. 110(3). 422–428. 80 indexed citations
8.
Aerts, Hugo J.W.L., Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, et al.. (2014). Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications. 5(1). 4006–4006. 3646 indexed citations breakdown →
9.
Langius, J.A.E., Sietske Bakker, D. Rietveld, et al.. (2013). Critical weight loss is a major prognostic indicator for disease-specific survival in patients with head and neck cancer receiving radiotherapy. British Journal of Cancer. 109(5). 1093–1099. 217 indexed citations
10.
Weert, Stijn van, Elisabeth Bloemena, I. van der Waal, et al.. (2013). Adenoid cystic carcinoma of the head and neck: A single-center analysis of 105 consecutive cases over a 30-year period. Oral Oncology. 49(8). 824–829. 141 indexed citations
11.
Dahele, Max, et al.. (2013). Flattening Filter Free vs Flattened Beams for Breast Irradiation. International Journal of Radiation Oncology*Biology*Physics. 85(2). 506–513. 60 indexed citations
12.
Haloua, M.H., N.M.A. Krekel, Henri A. H. Winters, et al.. (2013). A Systematic Review of Oncoplastic Breast-Conserving Surgery. Annals of Surgery. 257(4). 609–620. 132 indexed citations
13.
Karagozoglu, K. Hakki, D. Rietveld, Remco de Bree, et al.. (2013). Proposal for a new staging system for osteoradionecrosis of the mandible. Medicina oral, patología oral y cirugía bucal. 19(5). e433–e437. 13 indexed citations
14.
Bree, Remco de, Rico N. P. M. Rinkel, Simone E. J. Eerenstein, et al.. (2012). Computerized monitoring of patient-reported speech and swallowing problems in head and neck cancer patients in clinical practice. Supportive Care in Cancer. 20(11). 2925–2931. 29 indexed citations
15.
Velazquez, Emmanuel Rios, J.M.A. de Jong, Cary Oberije, et al.. (2011). Development and validation of a nomogram for prediction of survival and local control in laryngeal carcinoma patients treated with radiotherapy alone: A cohort study based on 994 patients. Radiotherapy and Oncology. 100(1). 108–115. 52 indexed citations
16.
Doornaert, Patricia, Wilko F.A.R. Verbakel, D. Rietveld, Ben J. Slotman, & Suresh Senan. (2011). Sparing the contralateral submandibular gland without compromising PTV coverage by using volumetric modulated arc therapy. Radiation Oncology. 6(1). 74–74. 18 indexed citations
17.
18.
Langendijk, Johannes A., Patricia Doornaert, D. Rietveld, et al.. (2009). A predictive model for swallowing dysfunction after curative radiotherapy in head and neck cancer. Radiotherapy and Oncology. 90(2). 189–195. 154 indexed citations
19.
Vergeer, Marije R., Patricia Doornaert, D. Rietveld, et al.. (2008). Intensity-Modulated Radiotherapy Reduces Radiation-Induced Morbidity and Improves Health-Related Quality of Life: Results of a Nonrandomized Prospective Study Using a Standardized Follow-Up Program. International Journal of Radiation Oncology*Biology*Physics. 74(1). 1–8. 256 indexed citations
20.
Doornaert, Patricia, Ben J. Slotman, D. Rietveld, C. René Leemans, & Johannes A. Langendijk. (2007). The Mean Radiation Dose in Pharyngheal Structures is a Strong Predictor of Acute and Persistent Swallowing Dysfunction and Quality of Life in Head and Neck Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 69(3). S55–S55. 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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