Ulrich Eck

1.4k citations
67 papers · 815 · h-index 16

Impact in

Papers in

Ulrich Eck

59 papers receiving 786 citations

Peers

Ulrich Eck
Comparison fields: 5 of 103
  • Human-Computer Interaction 353
  • Computer Vision and Pattern Recognition 508
  • General Dentistry 28
  • Health Informatics 13
  • Computer Graphics and Computer-Aided Design 26
Replace Felix Bork with:
Felix Bork Germany
Patrick Saalfeld Germany
Kevin Yu Germany
Christoph Bichlmeier Germany
K. Salisbury United States
Federico Barbagli United States
M.A. Srinivasan United States
Daniel Mendes Portugal
Carmine Elvezio United States
Kevin Montgomery United States
Ulrich Eck relative to Felix Bork Germany Felix Bork's profile →
Citations per field
00.5×5.3×
Felix Bork · 1×
Citations per year

Countries citing papers authored by Ulrich Eck

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Eck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019112
2 201864
3 202154
4 202049
5 201346
6 202239
7 200030
8 201925
9 202123
10 201721
11 201021
12 201520
13 201320
14 202219
15 201818
16 202118
17 202015
18 202114
19 201213
20 201813

About Ulrich Eck

Ulrich Eck is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Surgery, Biomedical Engineering and Computer Graphics and Computer-Aided Design, having authored 67 papers that have together received 815 indexed citations. Recurring topics across this work include Augmented Reality Applications (48 papers), Virtual Reality Applications and Impacts (24 papers), Surgical Simulation and Training (23 papers), Anatomy and Medical Technology (14 papers), Interactive and Immersive Displays (11 papers), Computer Graphics and Visualization Techniques (8 papers), Advanced Vision and Imaging (6 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Human-Computer Interaction (353 citations), Computer Vision and Pattern Recognition (508 citations), General Dentistry (28 citations), Health Informatics (13 citations) and Computer Graphics and Computer-Aided Design (26 citations). Ulrich Eck has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Nassir Navab, Felix Bork, Kevin Yu, Jens Waschke, Christian Sandor, Daniela Kugelmann, Daniel Roth, Alejandro Martin‐Gomez, Marc Lazarovici and Alexander Winkler. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal of Computer Assisted Radiology and Surgery, Anatomical Sciences Education, Der Unfallchirurg and Intensive Care Medicine Experimental.

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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