K. Eberhardt

915 citations
38 papers · 709 · h-index 15

Impact in

Papers in

K. Eberhardt

37 papers receiving 668 citations

Peers

K. Eberhardt
Comparison fields: 5 of 88
  • Computer Graphics and Computer-Aided Design 79
  • Neurology 108
  • Otorhinolaryngology 22
  • Radiology, Nuclear Medicine and Imaging 117
  • Hematology 54
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Citations per year

Countries citing papers authored by K. Eberhardt

Since Specialization
Citations

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

Fields of papers citing papers by K. Eberhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003149
2 199559
3 199750
4 200048
5 199246
6 199738
7 200335
8 199833
9 200032
10
HMGIC expression patterns in non-small lung cancer and surrounding tissue.
199826
11 198625
12 200324
13 200223
14 199720
15 199915
16 200010
17
[3D-MR myelography in diagnosis of lumbar spinal nerve root compression syndromes. Comparative study with conventional myelography].
199410
18 19958
19 20016
20 20015

About K. Eberhardt

K. Eberhardt is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Pulmonary and Respiratory Medicine, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 709 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), Medical Image Segmentation Techniques (7 papers), Digital Image Processing Techniques (4 papers), Advanced MRI Techniques and Applications (4 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), 3D Shape Modeling and Analysis (3 papers), Epilepsy research and treatment (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (79 citations), Neurology (108 citations), Otorhinolaryngology (22 citations), Radiology, Nuclear Medicine and Imaging (117 citations) and Hematology (54 citations). K. Eberhardt has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include Bernd Tomandl, W. Huk, Peter Hastreiter, Suzanne Fateh‐Moghadam, René Handschu, Ernst Klotz, Brigitte Stemper, Thomas Ertl, Klaus Engel and M. Deimling. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Blood, European Radiology, Radiographics and Lung Cancer.

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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