Sebastian Eulenstein

589 citations
17 papers · 328 indexed · h-index 10
Topics
Surgical Simulation and Training (6 papers)Medical Image Segmentation Techniques (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
Partner nations
Germany

In The Last Decade

Sebastian Eulenstein

17 papers receiving 309 citations

Peers

Sebastian Eulenstein
Comparison fields: 5 of 46
  • Surgery 141
  • Computer Vision and Pattern Recognition 135
  • Biomedical Engineering 114
  • Radiology, Nuclear Medicine and Imaging 88
  • Hepatology 85
Replace Matthias Peterhans with:
Matthias Peterhans Switzerland
Frank Pianka Germany
Prashanth Dumpuri United States
Matthias Thorn Germany
Holger Bourquain Germany
Logan W. Clements United States
Egidijus Pelanis Norway
Stefan Schmidt Germany
Huoling Luo China
Katia Passera Italy
Sebastian Eulenstein relative to Matthias Peterhans Switzerland Matthias Peterhans's profile →
Citations per field
00.5×1.5×
Matthias Peterhans · 1×
Citations per year

Countries citing papers authored by Sebastian Eulenstein

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Eulenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Eulenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Eulenstein. A scholar is included among the top collaborators of Sebastian Eulenstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sebastian Eulenstein. Sebastian Eulenstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 5
2
Advances in image guided conventional and minimal invasive liver surgery.
5
3 14
4 31
5 10
6 2
7 67
8 28
9 42
10 11
11 1
12 26
13 8
14 4
15 52
16 21
17 1

About Sebastian Eulenstein

Sebastian Eulenstein is a scholar working on Radiation, Computer Vision and Pattern Recognition and Hepatology, having authored 17 papers that have together received 328 indexed citations. Recurring topics across this work include Surgical Simulation and Training (6 papers), Medical Image Segmentation Techniques (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Hepatology (85 citations), Computer Vision and Pattern Recognition (135 citations) and Radiation (56 citations). Sebastian Eulenstein has collaborated with scholars based in Germany. Frequent co-authors include Thomas Lange, M. Hünerbein, S. Beller, P.M. Schlag, Peter M. Schlag, Bernhard Gebauer, Hans Lamecker, Martin Seebaß, P. M. Schlag and Shailendra Chopra. Their work appears in journals such as Annals of Surgery, British journal of surgery and European Journal of Surgical Oncology.

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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