Colin Jacobs

7.6k citations
78 papers · 3.4k · 1 hit paper · h-index 30

Impact in

Papers in

Colin Jacobs

75 papers receiving 3.3k citations

Colin Jacobs's Hit Papers

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks 2016 · 976 citations
9760+3+6Years since publication250500750

Peers

Colin Jacobs
Comparison fields: 5 of 114
  • Radiology, Nuclear Medicine and Imaging 2.0k
  • Health Informatics 110
  • Pulmonary and Respiratory Medicine 2.1k
  • Artificial Intelligence 619
  • Neurology 98
Replace Chuan Zhou with:
Chuan Zhou United States
Samuel G. Armato United States
Isaac Shiri Switzerland
Evrim Türkbey United States
Mu Zhou United States
Henkjan Huisman Netherlands
Atilla P. Kiraly United States
Farzad Khalvati Canada
Lois Holloway Australia
Colin Jacobs relative to Chuan Zhou United States Chuan Zhou's profile →
Citations per field
00.5×2×3×3.8×
Chuan Zhou · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Colin Jacobs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Colin Jacobs Line = papers co-authored together Colin Jacobs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
Hit paper breakdown →
2016976
2 2015224
3 2013205
4 2015146
5 2015111
6 2021108
7 201595
8 201493
9
Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans.
202087
10 201567
11 201564
12 201860
13 201458
14 202155
15 201247
16 201846
17 201746
18 201445
19 202341
20 201441

About Colin Jacobs

Colin Jacobs is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering and Oncology, having authored 78 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (61 papers), Radiomics and Machine Learning in Medical Imaging (33 papers), COVID-19 diagnosis using AI (12 papers), Lung Cancer Treatments and Mutations (8 papers), AI in cancer detection (6 papers), Advanced X-ray and CT Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.0k citations), Health Informatics (110 citations), Pulmonary and Respiratory Medicine (2.1k citations), Artificial Intelligence (619 citations) and Neurology (98 citations). Colin Jacobs has collaborated with scholars based in Netherlands, Germany and United States. Frequent 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. Their work appears in journals such as European Radiology, Radiology, PLoS ONE, Radiology Artificial Intelligence and European Respiratory Journal.

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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