Andreas Schrempf

503 citations
44 papers · 319 · h-index 11

Impact in

Papers in

    • Surgical Simulation and Training 16
    • Spinal Fractures and Fixation Techniques 12
    • Soft Robotics and Applications 11
    • Anatomy and Medical Technology 10

Andreas Schrempf

44 papers receiving 308 citations

Peers

Andreas Schrempf
Comparison fields: 5 of 78
  • Human-Computer Interaction 61
  • Surgery 138
  • Biomedical Engineering 114
  • Pathology and Forensic Medicine 44
  • Physiology 54
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Matthieu Poyade United Kingdom
Takaomi Kobayashi Japan
Masatsugu Tsukamoto Japan
Giuseppe Turini Italy
Kaoru Inoue Japan
Ryan Lohre United States
Rosanna Maria Viglialoro Italy
Antoine Muller France
Kevin Yu Germany
Samet Kapakin Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Schrempf

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Schrempf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201424
2 201119
3 201718
4 201815
5 201214
6 201713
7 201213
8 201413
9 201312
10 201612
11 201311
12 201710
13 201910
14 20209
15 20149
16 20188
17 20158
18 20038
19 20187
20 20177

About Andreas Schrempf

Andreas Schrempf is a scholar working on Surgery, Biomedical Engineering, Pathology and Forensic Medicine, Control and Systems Engineering and Social Psychology, having authored 44 papers that have together received 319 indexed citations. Recurring topics across this work include Surgical Simulation and Training (16 papers), Spine and Intervertebral Disc Pathology (12 papers), Spinal Fractures and Fixation Techniques (12 papers), Soft Robotics and Applications (11 papers), Anatomy and Medical Technology (10 papers), Advanced Control Systems Optimization (5 papers), Ergonomics and Musculoskeletal Disorders (5 papers) and Fault Detection and Control Systems (5 papers). The work is most often cited by research in Human-Computer Interaction (61 citations), Surgery (138 citations), Biomedical Engineering (114 citations), Pathology and Forensic Medicine (44 citations) and Physiology (54 citations). Andreas Schrempf has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Marianne Hollensteiner, Michael Haller, Peter Augat, Kathrin Probst, David Lindlbauer, Luigi del Re, Falk Schrödl, Daniel Stephan, Arnold Baca and Jay Kapellusch. Their work appears in journals such as Journal of the mechanical behavior of biomedical materials, IEEE Transactions on Biomedical Engineering, Journal of Materials Science Materials in Medicine, Journal of surgical education and Materials Science and Engineering C.

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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