Stefan Saur

649 citations
19 papers · 465 indexed · h-index 11

Impact in

Papers in

Stefan Saur

19 papers receiving 449 citations

Peers

Stefan Saur
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 202
  • Radiology, Nuclear Medicine and Imaging 199
  • Surgery 260
  • Pulmonary and Respiratory Medicine 130
  • Health Informatics 4
Replace Antonis I. Sakellarios with:
Antonis I. Sakellarios Greece
Fernando Vega-Higuera Germany
Stéphanie Marchesseau France
Juhwan Lee United States
Panagiotis K. Siogkas Greece
Yazan Gharaibeh United States
Mark E. Olszewski United States
Alina G. van der Giessen Netherlands
William Kongto Hau Hong Kong
Alexander I. Veress United States
Stefan Saur relative to Antonis I. Sakellarios Greece Antonis I. Sakellarios's profile →
Citations per field
00.5×1.5×
Antonis I. Sakellarios · 1×
Citations per year

Countries citing papers authored by Stefan Saur

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Saur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Stefan Saur, 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 Stefan Saur Line = papers co-authored together Stefan Saur links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202310
2 20227
3 20221
4 20222
5
Localizing Neurosurgical Instruments Across Domains and in the Wild
202113
6 20214
7 20218
8 201616
9 201296
10 201126
11 201123
12 201097
13 201021
14 200987
15 20094
16 20094
17 200827
18 200812
19 20087

About Stefan Saur

Stefan Saur is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 465 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (6 papers), Cardiac Imaging and Diagnostics (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Anatomy and Medical Technology (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Medical Imaging Techniques and Applications (2 papers), Surgical Simulation and Training (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (202 citations), Radiology, Nuclear Medicine and Imaging (199 citations), Surgery (260 citations), Pulmonary and Respiratory Medicine (130 citations) and Health Informatics (4 citations). Stefan Saur has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Hatem Alkadhi, Dimos Poulikakos, Ufuk Olgaç, Vartan Kurtcuoglu, Philippe C. Cattin, Joseph A. Knight, Lotus Desbiolles, William G. Marshall, Farhad R. Nezami and Gábor Székely. Their work appears in journals such as Atherosclerosis, European Radiology, Translational Vision Science & Technology, Investigative Radiology and Journal of Biomechanics.

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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