Simon Keek

1.1k total citations · 1 hit paper
12 papers, 497 citations indexed

About

Simon Keek is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Simon Keek has authored 12 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Simon Keek's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (5 papers) and AI in cancer detection (3 papers). Simon Keek is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (5 papers) and AI in cancer detection (3 papers). Simon Keek collaborates with scholars based in Netherlands, Germany and Switzerland. Simon Keek's co-authors include Henry C. Woodruff, Philippe Lambin, Abdalla Ibrahim, Sebastian Sanduleanu, Turkey Refaee, Ralph T. H. Leijenaar, Janita E. van Timmeren, Sergey Primakov, Arthur Jochems and Renée W. Y. Granzier and has published in prestigious journals such as PLoS ONE, Scientific Reports and Annals of Oncology.

In The Last Decade

Simon Keek

12 papers receiving 488 citations

Hit Papers

align trajectories

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.

Radiomics: from qualitative to quantitative imaging

2020 224 citations William Rogers, Turkey Refaee et al. British Journal of Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Keek Netherlands	8	390	138	115	102	70	12	497
Giorgio Maria Agazzi Italy	13	343 0.9×	152 1.1×	69 0.6×	89 0.9×	102 1.5×	24	477
Manon Beuque Netherlands	5	396 1.0×	136 1.0×	128 1.1×	102 1.0×	74 1.1×	11	469
Rushuang Mao China	7	415 1.1×	85 0.6×	93 0.8×	237 2.3×	63 0.9×	12	521
H. Geng United States	10	288 0.7×	184 1.3×	83 0.7×	55 0.5×	47 0.7×	26	509
M.V. Villas Spain	5	436 1.1×	179 1.3×	197 1.7×	68 0.7×	82 1.2×	6	503
Eralda Mema United States	11	370 0.9×	116 0.8×	62 0.5×	70 0.7×	95 1.4×	26	495
Xueyi Zheng China	9	418 1.1×	110 0.8×	101 0.9×	228 2.2×	102 1.5×	15	605
Michael C. Tjong Canada	10	239 0.6×	234 1.7×	68 0.6×	44 0.4×	100 1.4×	36	489
Mi Huang United States	10	403 1.0×	195 1.4×	119 1.0×	61 0.6×	84 1.2×	10	505

Countries citing papers authored by Simon Keek

Since Specialization

Citations

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

Fields of papers citing papers by Simon Keek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Keek

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

All Works

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12 of 12 papers shown

Connor, Kate, Emer Conroy, Kieron White, et al.. (2024). A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring. Scientific Reports. 14(1). 2720–2720. 2 indexed citations

Keek, Simon, A. Mans, Marlies E. Nowee, et al.. (2024). 865: Clinical evaluation of organs at risk deep learning auto-segmentation for cervix brachytherapy. Radiotherapy and Oncology. 194. S333–S336. 1 indexed citations

Hendriks, Lizza, Simon Keek, Avishek Chatterjee, et al.. (2022). 127P Does radiomics have added value in predicting the development of brain metastases in patients with radically treated stage III non-small cell lung cancer (NSCLC)?. Annals of Oncology. 33. S91–S91. 1 indexed citations

Keek, Simon, Manon Beuque, Sergey Primakov, et al.. (2022). Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics. Frontiers in Oncology. 12. 920393–920393. 8 indexed citations

Keek, Simon, Frederik Wesseling, Henry C. Woodruff, et al.. (2021). A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images. Cancers. 13(13). 3271–3271. 19 indexed citations

Primakov, Sergey, Janita E. van Timmeren, Guorong Wu, et al.. (2021). OC-0557 AI-based NSCLC detection and segmentation: faster and more prognostic than manual segmentation. Radiotherapy and Oncology. 161. S441–S443. 1 indexed citations

Granzier, Renée W. Y., Abdalla Ibrahim, Sergey Primakov, et al.. (2021). Test–Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability. Journal of Magnetic Resonance Imaging. 56(2). 592–604. 20 indexed citations

Keek, Simon, Sebastian Sanduleanu, Frederik Wesseling, et al.. (2020). Computed tomography-derived radiomic signature of head and neck squamous cell carcinoma (peri)tumoral tissue for the prediction of locoregional recurrence and distant metastasis after concurrent chemo-radiotherapy. PLoS ONE. 15(5). e0232639–e0232639. 35 indexed citations

Rogers, William, Turkey Refaee, R. Lieverse, et al.. (2020). Radiomics: from qualitative to quantitative imaging. British Journal of Radiology. 93(1108). 20190948–20190948. 224 indexed citations breakdown →

10.

Ibrahim, Abdalla, Martin Vallières, Henry C. Woodruff, et al.. (2019). Radiomics Analysis for Clinical Decision Support in Nuclear Medicine. Seminars in Nuclear Medicine. 49(5). 438–449. 37 indexed citations

11.

Walsh, Seán, Evelyn E.C. de Jong, Janita E. van Timmeren, et al.. (2019). Decision Support Systems in Oncology. JCO Clinical Cancer Informatics. 3(3). 1–9. 100 indexed citations

12.

Keek, Simon, Ralph T. H. Leijenaar, Arthur Jochems, & Henry C. Woodruff. (2018). A review on radiomics and the future of theranostics for patient selection in precision medicine. British Journal of Radiology. 91(1091). 20170926–20170926. 49 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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