Tim van de Brug

722 total citations
23 papers, 404 citations indexed

About

Tim van de Brug is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology. According to data from OpenAlex, Tim van de Brug has authored 23 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Tim van de Brug's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). Tim van de Brug is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). Tim van de Brug collaborates with scholars based in Netherlands, United States and Spain. Tim van de Brug's co-authors include Ronald Boellaard, Otto S. Hoekstra, Elisabeth Pfaehler, Daniela E. Oprea‐Lager, André N. Vis, B.H.E. Jansen, Gerben J.C. Zwezerijnen, R. Jeroen A. van Moorselaar, Matthijs C. F. Cysouw and Geert Kazemier and has published in prestigious journals such as Blood, Annals of Surgery and Radiology.

In The Last Decade

Tim van de Brug

21 papers receiving 401 citations

Peers

Tim van de Brug

RNMI

PRM

ONCOL

SURGE

PFM

Edward J. Somer United Kingdom

Bernard Crawford United States

Benjapa Khiewvan Thailand

Neal S. McCall United States

Russell Frood United Kingdom

Cristina Piva Italy

Shyam Singh Bisht India

Nosheen Fatima Pakistan

Stephanie Lee‐Felker United States

Edward J. Somer United Kingdom

Tim van de Brug

256 ×1.3

RNMI

112 ×0.8

PRM

90 ×0.8

ONCOL

29 ×0.3

SURGE

180 ×2.3

PFM

Citations per year, relative to Tim van de Brug Tim van de Brug (= 1×) peers Edward J. Somer

Countries citing papers authored by Tim van de Brug

Since Specialization

Citations

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

Fields of papers citing papers by Tim van de Brug

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim van de Brug. 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 Tim van de Brug. The network helps show where Tim van de Brug may publish in the future.

Co-authorship network of co-authors of Tim van de Brug

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

All Works

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20 of 20 papers shown

Roemer, Margaretha G.M., Tim van de Brug, Nathalie J. Hijmering, et al.. (2023). Multi-scale spatial modeling of immune cell distributions enables survival prediction in primary central nervous system lymphoma. iScience. 26(8). 107331–107331. 3 indexed citations

Martens, Roland M., Thomas Koopman, Cristina Lavini, et al.. (2022). Early Response Prediction of Multiparametric Functional MRI and 18F-FDG-PET in Patients with Head and Neck Squamous Cell Carcinoma Treated with (Chemo)Radiation. Cancers. 14(1). 216–216. 13 indexed citations

Bootsma, Boukje T., et al.. (2022). Intraoperative conditions of patients undergoing pancreatoduodenectomy. Surgical Oncology. 46. 101897–101897. 1 indexed citations

Nispen, Ruth M. A. van, et al.. (2022). Trends in low vision service utilisation: A retrospective study based on general population healthcare claims. Ophthalmic and Physiological Optics. 42(4). 828–838. 3 indexed citations

Braver, Nicolette R. den, Jeroen Lakerveld, Peter Gozdyra, et al.. (2022). Development of a neighborhood drivability index and its association with transportation behavior in Toronto. Environment International. 163. 107182–107182. 7 indexed citations

Stevens, Markus F., et al.. (2022). Perioperative Hypoxemia and Postoperative Respiratory Events in Infants with Hypertrophic Pyloric Stenosis. European Journal of Pediatric Surgery. 33(6). 485–492.

Vogel, Wouter V., Tim van de Brug, Daniela E. Oprea‐Lager, et al.. (2021). Diagnostic Performance of [18F]FDG PET in Staging Grade 1–2, Estrogen Receptor Positive Breast Cancer. Diagnostics. 11(11). 1954–1954. 13 indexed citations

Gallego‐Alberto, Laura, Hanneke J. A. Smaling, Anneke L. Francke, et al.. (2021). The relationship between guilt feelings, conflicts with staff and satisfaction with care in relatives of nursing home residents with dementia: A longitudinal analysis. Dementia. 21(1). 5–20. 2 indexed citations

Bootsma, Boukje T., Tim van de Brug, Babs M. Zonderhuis, et al.. (2021). Somatostatin Analogues for the Prevention of Pancreatic Fistula after Open Pancreatoduodenectomy: A Nationwide Analysis. HPB. 23. S743–S744. 5 indexed citations

10.

Eertink, Jakoba J., Tim van de Brug, Sanne E. Wiegers, et al.. (2021). 18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma. European Journal of Nuclear Medicine and Molecular Imaging. 49(3). 932–942. 90 indexed citations

11.

Roosendaal, Stefan D., Tim van de Brug, Cesar Alves, et al.. (2021). Imaging Patterns Characterizing Mitochondrial Leukodystrophies. American Journal of Neuroradiology. 42(7). 1334–1340. 18 indexed citations

12.

Zwezerijnen, Gerben J.C., Heiko Schöder, Alison J. Moskowitz, et al.. (2021). PREDICTIVE VALUE OF QUANTITATIVE ¹⁸F‐FDG‐PET‐CT RADIOMICS ANALYSIS IN 174 PATIENTS WITH RELAPSED/REFRACTORY CLASSICAL HODGKIN LYMPHOMA. Hematological Oncology. 39(S2). 1 indexed citations

13.

Littooij, Annemieke S., Thomas C. Kwee, Nelleke Tolboom, et al.. (2020). Whole-body MRI versus an FDG-PET/CT-based reference standard for staging of paediatric Hodgkin lymphoma: a prospective multicentre study. European Radiology. 31(3). 1494–1504. 15 indexed citations

14.

Woensel, Job B. M. van, et al.. (2020). Respiratory problems owing to severe metabolic alkalosis in infants presenting with hypertrophic pyloric stenosis. Journal of Pediatric Surgery. 55(12). 2772–2776. 6 indexed citations

15.

Cysouw, Matthijs C. F., B.H.E. Jansen, Tim van de Brug, et al.. (2020). Machine learning-based analysis of [18F]DCFPyL PET radiomics for risk stratification in primary prostate cancer. European Journal of Nuclear Medicine and Molecular Imaging. 48(2). 340–349. 103 indexed citations

16.

Allema, Jan Hein, Marc A. Benninga, Ivo de Blaauw, et al.. (2020). The Dutch Incidence of Infantile Hypertrophic Pyloric Stenosis and the Influence of Seasons. European Journal of Pediatric Surgery. 31(6). 525–529. 1 indexed citations

17.

Eertink, Jakoba J., Tim van de Brug, Sanne E. Wiegers, et al.. (2020). 18f-FDG PET/CT Baseline Rdiomics Features Improve the Prediction of Treatment Outcome in Diffuse Large B-Cell Lymphoma Patients. Blood. 136(Supplement 1). 27–28. 3 indexed citations

18.

Brug, Tim van de, et al.. (2016). RANDOM WALK LOOP SOUPS AND CONFORMAL LOOP ENSEMBLES. 3 indexed citations

19.

Brug, Tim van de, et al.. (2011). Fat fractal percolation and k-fractal percolation. Latin American Journal of Probability and Mathematical Statistics. 9(2). 279–301.

20.

Brug, Tim van de & Ronald Meester. (2003). On central limit theorems in the random connection model. Physica A Statistical Mechanics and its Applications. 332. 263–278. 1 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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