Steven Schalekamp

2.1k total citations · 1 hit paper
29 papers, 1.3k citations indexed

About

Steven Schalekamp is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Health Informatics. According to data from OpenAlex, Steven Schalekamp has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 8 papers in Health Informatics. Recurrent topics in Steven Schalekamp's work include COVID-19 diagnosis using AI (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Lung Cancer Diagnosis and Treatment (10 papers). Steven Schalekamp is often cited by papers focused on COVID-19 diagnosis using AI (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Lung Cancer Diagnosis and Treatment (10 papers). Steven Schalekamp collaborates with scholars based in Netherlands, United States and Germany. Steven Schalekamp's co-authors include Bram van Ginneken, Kicky G. van Leeuwen, Matthieu Rutten, Maarten de Rooij, Cornelia Schaefer‐Prokop, Ernst T. Scholten, Keelin Murphy, Nico Karssemeijer, Bart Rijnders and Judith van Paassen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Steven Schalekamp

29 papers receiving 1.3k 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.

Artificial intelligence in radiology: 100 commercially available products and their scientific evidence

2021 260 citations Kicky G. van Leeuwen, Steven Schalekamp et al. European Radiology profile →

Peers

Countries citing papers authored by Steven Schalekamp

Since Specialization

Citations

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

Fields of papers citing papers by Steven Schalekamp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Schalekamp

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Schalekamp. A scholar is included among the top collaborators of Steven Schalekamp 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 Steven Schalekamp. Steven Schalekamp 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

#	Work	Indexed citations
1	How AI should be used in radiology: assessing ambiguity and completeness of intended use statements of commercial AI products 2024 ·Insights into Imaging ·Kicky G. van Leeuwen, Dennis M. Hedderich, Hugh Harvey, Steven Schalekamp	11
2	AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation 2023 ·Heliyon ·Kicky G. van Leeuwen, (unknown), D. Grob, Frank de Lange, (unknown), Steven Schalekamp, Matthieu Rutten, Bram van Ginneken, Maarten de Rooij, Frederick J. A. Meijer	3
3	Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022 2023 ·European Radiology ·Kicky G. van Leeuwen, Maarten de Rooij, Steven Schalekamp, Bram van Ginneken, Matthieu Rutten	24
4	Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans 2023 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Ernst T. Scholten, (unknown), (unknown), Steven Schalekamp, (unknown), (unknown), Bram van Ginneken, Mathias Prokop, Matthieu Rutten, Colin Jacobs	30
5	COVID-19 screening in low resource settings using artificial intelligence for chest radiographs and point-of-care blood tests 2023 ·Scientific Reports ·Keelin Murphy, (unknown), Steven Schalekamp, Bram van Ginneken, Irene Ayakaka, (unknown), (unknown), Alastair van Heerden, (unknown), (unknown), Lucía González Fernández, Aita Signorell, Moniek Bresser, Klaus Reither, Tracy R. Glass	1
6	Explainable emphysema detection on chest radiographs with deep learning 2022 ·PLoS ONE ·Erdi Çallı, Keelin Murphy, Ernst T. Scholten, Steven Schalekamp, Bram van Ginneken	3
7	Artificial intelligence in radiology: 100 commercially available products and their scientific evidence breakdown → 2021 ·European Radiology ·Kicky G. van Leeuwen, Steven Schalekamp, Matthieu Rutten, Bram van Ginneken, Maarten de Rooij	260
8	Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective 2021 ·Pediatric Radiology ·Steven Schalekamp, Willemijn M. Klein, Kicky G. van Leeuwen	40
9	Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists 2021 ·Radiology Artificial Intelligence ·Colin Jacobs, Arnaud A. A. Setio, Ernst T. Scholten, Paul K. Gerke, (unknown), Firdaus A. Mohamed Hoesein, Monique Brink, Erik Ranschaert, Pim A. de Jong, Mario Silva, Bram Geurts, Kaman Chung, Steven Schalekamp, Joke Meersschaert, Anand Devaraj, Paul F. Pinsky, Stephen Lam, Bram van Ginneken, Keyvan Farahani	29
10	Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs 2021 ·Radiology Artificial Intelligence ·(unknown), Ernst T. Scholten, (unknown), Stefan Bruijnen, (unknown), Mathijn de Jong, S.C.E. Diepstraten, (unknown), Steven Schalekamp, Maarten de Rooij, (unknown), (unknown), (unknown), Lee‐Ling Sharon Ong, Eric Postma, Bram van Ginneken, Matthieu Rutten	32
11	How does artificial intelligence in radiology improve efficiency and health outcomes? 2021 ·Pediatric Radiology ·Kicky G. van Leeuwen, Maarten de Rooij, Steven Schalekamp, Bram van Ginneken, Matthieu Rutten	143
12	Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment 2021 ·Insights into Imaging ·Kicky G. van Leeuwen, Frederick J. A. Meijer, Steven Schalekamp, Matthieu Rutten, Ewoud J. van Dijk, Bram van Ginneken, Tim M. Govers, Maarten de Rooij	37
13	Model-based Prediction of Critical Illness in Hospitalized Patients with COVID-19 2020 ·Radiology ·Steven Schalekamp, Merel Huisman, Rogier A. van Dijk, Martijn F. Boomsma, (unknown), (unknown), (unknown), (unknown), (unknown), Eefje Jong, Anton Schreuder, Cornelia Schaefer‐Prokop	57
14	Chest CT in the Emergency Department for Diagnosis of COVID-19 Pneumonia: Dutch Experience 2020 ·Radiology ·Steven Schalekamp, Chantal P. Bleeker‐Rovers, Ludo F.M. Beenen, Henriëtte M. E. Quarles van Ufford, Hester A. Gietema, J. Lauran Stöger, Vanessa Harris, Monique H. Reijers, Janette Rahamat–Langendoen, Daniël A. Korevaar, Loek P. Smits, Christine Korteweg, (unknown), (unknown), Patricia M. Stassen, Henk Scheper, (unknown), (unknown), Anthonius S. M. Dofferhoff, Mathias Prokop	38
15	COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System 2020 ·Radiology ·Keelin Murphy, (unknown), Arnoud J.G. Knoops, (unknown), (unknown), Ernst T. Scholten, Steven Schalekamp, Cornelia Schaefer‐Prokop, Rick H. H. M. Philipsen, (unknown), Jaime Melendez, Bram van Ginneken, Matthieu Rutten	146
16	The Effect of Supplementary Bone-Suppressed Chest Radiographs on the Assessment of a Variety of Common Pulmonary Abnormalities 2016 ·Journal of Thoracic Imaging ·Steven Schalekamp, Nico Karssemeijer, (unknown), Bartjan de Hoop, Bram Geurts, (unknown), Bram van Ginneken, Cornelia Schaefer‐Prokop	8
17	Computer-aided Detection Improves Detection of Pulmonary Nodules in Chest Radiographs beyond the Support by Bone-suppressed Images 2014 ·Radiology ·Steven Schalekamp, Bram van Ginneken, (unknown), Miranda Snoeren, A.M. Tiehuis, Rianne Wittenberg, Nico Karssemeijer, Cornelia Schaefer‐Prokop	61
18	Bone Suppression Increases the Visibility of Invasive Pulmonary Aspergillosis in Chest Radiographs 2014 ·PLoS ONE ·Steven Schalekamp, Bram van Ginneken, Inge A. H. van den Berk, Ieneke J. C. Hartmann, Miranda Snoeren, Arlette E. Odink, (unknown), Sjoert Pegge, (unknown), Nico Karssemeijer, Cornelia Schaefer‐Prokop	12
19	Detektion pulmonaler Rundherde 2014 ·Der Radiologe ·(unknown), Steven Schalekamp, Cornelia Schaefer‐Prokop, Martin Uffmann	2
20	Bone suppressed images improve radiologists’ detection performance for pulmonary nodules in chest radiographs 2013 ·European Journal of Radiology ·Steven Schalekamp, Bram van Ginneken, (unknown), Liesbeth Peters-Bax, Lorentz G.B.A. Quekel, Miranda Snoeren, A.M. Tiehuis, Rianne Wittenberg, Nico Karssemeijer, Cornelia Schaefer‐Prokop	24

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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