Robert Seibt

31 papers receiving 439 citations

Peers

Robert Seibt
Comparison fields: 5 of 63
  • Rehabilitation 135
  • Medical Laboratory Technology 32
  • Pharmacology 149
  • Biomedical Engineering 247
  • Radiological and Ultrasound Technology 25
Replace Maria Lazzaroni with:
Maria Lazzaroni Italy
Matthias B. Näf Belgium
Matteo Sposito Italy
Axel S. Koopman Netherlands
Aaron Yang United States
Andreas Kannenberg Germany
Charles Woolley United States
Karen N. Gregorczyk United States
Chris L. Zimmermann United States
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Citations per field
00.5×3.2×
Maria Lazzaroni · 1×
Citations per year

Countries citing papers authored by Robert Seibt

Since Specialization
Citations

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

Fields of papers citing papers by Robert Seibt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201969
2 202162
3 202151
4 201943
5 201428
6 202026
7 201519
8 202018
9 202215
10 202215
11 202215
12 201912
13 201711
14 20199
15 20209
16 20187
17 20136
18 20235
19 20205
20 20205

About Robert Seibt

Robert Seibt is a scholar working on Surgery, Pharmacology, Biomedical Engineering, Rehabilitation and Social Psychology, having authored 35 papers that have together received 456 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (13 papers), Surgical Simulation and Training (10 papers), Muscle activation and electromyography studies (6 papers), Prosthetics and Rehabilitation Robotics (6 papers), Stroke Rehabilitation and Recovery (4 papers), Infection Control and Ventilation (3 papers), Diagnosis and Treatment of Venous Diseases (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Rehabilitation (135 citations), Medical Laboratory Technology (32 citations), Pharmacology (149 citations), Biomedical Engineering (247 citations) and Radiological and Ultrasound Technology (25 citations). Robert Seibt has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Benjamin Steinhilber, Monika A. Rieger, Tessy Luger, Ralf Rothmund, Bernhard Kraemer, Thomas Läubli, Thomas Maier, Peter Martus, Stefan Pfeffer and Bernhard Krämer. Their work appears in journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, International Journal of Environmental Research and Public Health, Surgical Endoscopy, Applied Ergonomics and International Journal of Industrial Ergonomics.

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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