Dennis Säring

570 citations
28 papers · 418 · h-index 12

Impact in

Papers in

Dennis Säring

27 papers receiving 416 citations

Peers

Dennis Säring
Comparison fields: 5 of 45
  • Radiology, Nuclear Medicine and Imaging 188
  • Radiation 68
  • Computer Vision and Pattern Recognition 119
  • Neurology 78
  • Pulmonary and Respiratory Medicine 82
Replace Juergen Weese with:
Juergen Weese Germany
David Robben Belgium
Joël Schaerer France
Hongxia Yin China
Danielle F. Pace United States
Fabíola Macruz United States
Christopher Rohkohl Germany
Michael Helle Germany
R. Mullick United States
Damian Borys Poland
Dennis Säring relative to Juergen Weese Germany Juergen Weese's profile →
Citations per field
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Juergen Weese · 1×
Citations per year

Countries citing papers authored by Dennis Säring

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Säring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007110
2 201256
3 200833
4 201030
5 200926
6 201020
7 201318
8 201217
9 200614
10 201213
11 200612
12 200711
13 201110
14 20108
15
Generation of 4D CT image data and analysis of lung tumour mobility during the breathing cycle.
20066
16 20066
17 20115
18 20094
19 20123
20 20123

About Dennis Säring

Dennis Säring is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Neurology and Radiation, having authored 28 papers that have together received 418 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Medical Imaging Techniques and Applications (6 papers), Advanced MRI Techniques and Applications (6 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Advanced Radiotherapy Techniques (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (188 citations), Radiation (68 citations), Computer Vision and Pattern Recognition (119 citations), Neurology (78 citations) and Pulmonary and Respiratory Medicine (82 citations). Dennis Säring has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Heinz Handels, Jens Fiehler, Jan Ehrhardt, Till Illies, Nils D. Forkert, Dietmar P. F. Möller, Wei Lü, René Werner, Daniel A. Low and Thorsten Frenzel. Their work appears in journals such as Methods of Information in Medicine, Neuroradiology, Journal of Magnetic Resonance Imaging, American Journal of Neuroradiology and Medical Physics.

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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