Silvia Born

668 citations
15 papers · 235 · h-index 10

Impact in

Papers in

Silvia Born

14 papers receiving 226 citations

Peers

Silvia Born
Comparison fields: 5 of 46
  • Computer Graphics and Computer-Aided Design 67
  • Computer Vision and Pattern Recognition 74
  • Radiology, Nuclear Medicine and Imaging 73
  • Cardiology and Cardiovascular Medicine 63
  • Critical Care and Intensive Care Medicine 12
Replace Mathias Neugebauer with:
Mathias Neugebauer Germany
Rocco Gasteiger Germany
John D. Hoford United States
Athanasios Karamalis Germany
R. Mullick United States
O. Wink Netherlands
Daniel Rinck Germany
Henning Meyer Germany
R. Collorec France
Tian-ge Zhuang China
Silvia Born relative to Mathias Neugebauer Germany Mathias Neugebauer's profile →
Citations per field
00.5×1.5×
Mathias Neugebauer · 1×
Citations per year

Countries citing papers authored by Silvia Born

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Born

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201040
2 201231
3 201328
4 201626
5 201121
6 200818
7 201614
8 201113
9 201212
10 201810
11 20149
12 20148
13 20153
14 20032
15
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20080

About Silvia Born

Silvia Born is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Epidemiology, having authored 15 papers that have together received 235 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Cardiovascular Function and Risk Factors (3 papers), Advanced MRI Techniques and Applications (3 papers), Infective Endocarditis Diagnosis and Management (2 papers), Coronary Interventions and Diagnostics (2 papers) and Fluid Dynamics and Turbulent Flows (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (67 citations), Computer Vision and Pattern Recognition (74 citations), Radiology, Nuclear Medicine and Imaging (73 citations), Cardiology and Cardiovascular Medicine (63 citations) and Critical Care and Intensive Care Medicine (12 citations). Silvia Born has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Gerik Scheuermann, Michael Markl, Matthias Gutberlet, Dirk Bartz, Jan Friedrich, Alexander Wiebel, Benjamin Köhler, Bernhard Preim, Wolfgang Straßer and Anja Hennemuth. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Critical Care, Computer Graphics Forum, NMR in Biomedicine 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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