Colin Jacobs

7.3k total citations · 1 hit paper
74 papers, 3.1k citations indexed

About

Colin Jacobs is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Colin Jacobs has authored 74 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Pulmonary and Respiratory Medicine, 56 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in Colin Jacobs's work include Lung Cancer Diagnosis and Treatment (62 papers), Radiomics and Machine Learning in Medical Imaging (51 papers) and Lung Cancer Treatments and Mutations (19 papers). Colin Jacobs is often cited by papers focused on Lung Cancer Diagnosis and Treatment (62 papers), Radiomics and Machine Learning in Medical Imaging (51 papers) and Lung Cancer Treatments and Mutations (19 papers). Colin Jacobs collaborates with scholars based in Netherlands, Germany and United States. Colin Jacobs's co-authors include Bram van Ginneken, Arnaud A. A. Setio, Francesco Ciompi, Mathias Prokop, Ernst T. Scholten, Sarah J. van Riel, Clara I. Sá‎nchez, Mathilde Marie Winkler Wille, Paul K. Gerke and Cornelia Schaefer‐Prokop and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Colin Jacobs

70 papers receiving 3.0k 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.

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

2016 863 citations Arnaud A. A. Setio, Francesco Ciompi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Colin Jacobs Netherlands	28	2.3k	2.2k	588	312	247	74	3.1k
Lois Holloway Australia	28	2.6k 1.1×	1.5k 0.7×	448 0.8×	623 2.0×	281 1.1×	260	4.1k
Atilla P. Kiraly United States	14	1.3k 0.5×	865 0.4×	458 0.8×	260 0.8×	318 1.3×	52	2.1k
Samuel G. Armato United States	37	3.6k 1.5×	3.5k 1.6×	943 1.6×	697 2.2×	572 2.3×	176	5.2k
Jiantao Pu United States	28	1.2k 0.5×	948 0.4×	404 0.7×	163 0.5×	631 2.6×	104	2.2k
Dan Nguyen United States	30	1.7k 0.7×	1.1k 0.5×	359 0.6×	601 1.9×	272 1.1×	120	2.8k
Evrim Türkbey United States	30	1.8k 0.8×	677 0.3×	448 0.8×	353 1.1×	325 1.3×	94	3.6k
Shigehiko Katsuragawa Japan	36	2.9k 1.3×	1.8k 0.9×	1.4k 2.4×	502 1.6×	768 3.1×	129	4.1k
Jason Dowling Australia	24	1.7k 0.7×	550 0.3×	381 0.6×	662 2.1×	437 1.8×	129	2.7k
Isaac Shiri Switzerland	36	2.9k 1.2×	860 0.4×	544 0.9×	1.4k 4.5×	178 0.7×	174	3.6k

Countries citing papers authored by Colin Jacobs

Since Specialization

Citations

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

Fields of papers citing papers by Colin Jacobs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colin Jacobs

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

Revel, Marie‐Pierre, Jürgen Biederer, Arjun Nair, et al.. (2025). ESR Essentials: lung cancer screening with low-dose CT—practice recommendations by the European Society of Thoracic Imaging. European Radiology. 36(3). 2064–2073.

Jacobs, Colin, et al.. (2025). Artificial intelligence in radiology: 173 commercially available products and their scientific evidence. European Radiology. 36(1). 526–536. 7 indexed citations

Scholten, Ernst T., et al.. (2025). Artificial intelligence for the detection of airway nodules in chest CT scans. European Radiology. 35(9). 5615–5625.

Snoeckx, Annemiek, Mario Silva, Helmut Prosch, et al.. (2025). Lung cancer screening with low-dose CT: definition of positive, indeterminate, and negative screen results. A nodule management recommendation from the European Society of Thoracic Imaging. European Radiology. 36(1). 135–147. 3 indexed citations

Charbonnier, Jean‐Paul, et al.. (2024). Estimating lung function from computed tomography at the patient and lobe level using machine learning. Medical Physics. 51(4). 2834–2845. 6 indexed citations

Sidorenkov, Grigory, Colin Jacobs, Pim A. de Jong, et al.. (2024). Lung Nodule Management in Low-Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial. Radiology. 313(1). e240535–e240535. 7 indexed citations

Saghir, Zaigham, Ernst T. Scholten, Cornelia Schaefer‐Prokop, et al.. (2024). Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimation. European Radiology. 34(10). 6639–6651.

Jacobs, Colin, et al.. (2023). Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT. Radiology. 308(3). e230275–e230275. 8 indexed citations

Xie, Hui, et al.. (2023). Emphysema subtyping on thoracic computed tomography scans using deep neural networks. Scientific Reports. 13(1). 14147–14147. 4 indexed citations

10.

Jacobs, Colin, Anton Schreuder, Sarah J. van Riel, et al.. (2021). Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS Agreement. Radiology Imaging Cancer. 3(5). e200160–e200160. 21 indexed citations

11.

Jacobs, Colin, et al.. (2020). Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients. arXiv (Cornell University). 2 indexed citations

12.

Grob, D., Luuk J. Oostveen, Colin Jacobs, et al.. (2020). Pulmonary nodule enhancement in subtraction CT and dual-energy CT: A comparison study. European Journal of Radiology. 134. 109443–109443. 1 indexed citations

13.

Schreuder, Anton, Cornelia Schaefer‐Prokop, Ernst T. Scholten, et al.. (2018). Lung cancer risk to personalise annual and biennial follow-up computed tomography screening. Thorax. 73(7). 626–633. 30 indexed citations

14.

Riel, Sarah J. van, Colin Jacobs, Ernst T. Scholten, et al.. (2018). Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management. European Radiology. 29(2). 924–931. 44 indexed citations

15.

Silva, Mario, Mathias Prokop, Colin Jacobs, et al.. (2018). Long-Term Active Surveillance of Screening Detected Subsolid Nodules is a Safe Strategy to Reduce Overtreatment. Journal of Thoracic Oncology. 13(10). 1454–1463. 58 indexed citations

16.

Riel, Sarah J. van, Francesco Ciompi, Colin Jacobs, et al.. (2017). Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines. European Radiology. 27(10). 4019–4029. 39 indexed citations

17.

Setio, Arnaud A. A., et al.. (2015). Automatic detection of large pulmonary solid nodules in thoracic CT images. Medical Physics. 42(10). 5642–5653. 102 indexed citations

18.

Jacobs, Colin, et al.. (2015). Robust semi-automatic segmentation of pulmonary subsolid nodules in chest computed tomography scans. Physics in Medicine and Biology. 60(3). 1307–1323. 65 indexed citations

19.

Scholten, Ernst T., Pim A. de Jong, Bartjan de Hoop, et al.. (2014). Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules?. European Respiratory Journal. 45(3). 765–773. 93 indexed citations

20.

Jacobs, Colin, Clara I. Sá‎nchez, Stefan Saur, et al.. (2011). Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features. Lecture notes in computer science. 14(Pt 3). 207–214. 23 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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