S.C. DeJong

657 citations
18 papers · 459 indexed · h-index 6

Impact in

Papers in

S.C. DeJong

18 papers receiving 445 citations

Peers

S.C. DeJong
Comparison fields: 5 of 76
  • Radiology, Nuclear Medicine and Imaging 205
  • Surgery 244
  • Computer Vision and Pattern Recognition 109
  • Cardiology and Cardiovascular Medicine 108
  • Pulmonary and Respiratory Medicine 134
Replace Makoto Hirose with:
Makoto Hirose Japan
Rade Babić Serbia
Xiaowei Liu China
O. Wink Netherlands
Ken Ohara Japan
Alain De Cesare France
Michael V. Orlov United States
George E. Parcharidis Greece
Theodosis Tyllis Cyprus
Morris Frimer United States
S.C. DeJong relative to Makoto Hirose Japan Makoto Hirose's profile →
Citations per field
00.5×4.7×
Makoto Hirose · 1×
Citations per year

Countries citing papers authored by S.C. DeJong

Since Specialization
Citations

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

Fields of papers citing papers by S.C. DeJong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.C. DeJong. 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 S.C. DeJong. The network helps show where S.C. DeJong may publish in the future.

Co-authorship network

The 19 scholars most cited alongside S.C. DeJong, 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 S.C. DeJong Line = papers co-authored together S.C. DeJong links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20022
2 20021
3 20023
4 20023
5 20021
6 20025
7 20021
8 20022
9 1999126
10 19987
11 199899
12 19971
13 19973
14 19972
15 19961
16 199615
17 1995169
18 198918

About S.C. DeJong

S.C. DeJong is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Surgery, Anesthesiology and Pain Medicine and Biophysics, having authored 18 papers that have together received 459 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (14 papers), Cardiac Imaging and Diagnostics (12 papers), Cardiac Valve Diseases and Treatments (4 papers), Medical Image Segmentation Techniques (3 papers), Cardiovascular Function and Risk Factors (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Optical Coherence Tomography Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (205 citations), Surgery (244 citations), Computer Vision and Pattern Recognition (109 citations), Cardiology and Cardiovascular Medicine (108 citations) and Pulmonary and Respiratory Medicine (134 citations). S.C. DeJong has collaborated with scholars based in United States and Germany. Frequent co-authors include Milan Sonka, G.P.M. Prause, Charles R. McKay, Andreas Wahle, Xiangmin Zhang, Maria Siebes, Stephen M. Collins, Richard E. Kerber, Robin S. Smith and Garry R. Buettner. Their work appears in journals such as Journal of the American College of Cardiology, IEEE Transactions on Medical Imaging, The American Journal of Cardiology, Journal of Vascular Surgery and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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