Peter Kaps

39 papers receiving 660 citations

Peers

Peter Kaps
Comparison fields: 5 of 91
  • Numerical Analysis 194
  • Orthopedics and Sports Medicine 162
  • Pulmonary and Respiratory Medicine 267
  • Atmospheric Science 146
  • Computational Mechanics 166
Replace M. A. Martínez with:
M. A. Martínez Spain
Kengo Nakajima Japan
Egon Krause Germany
J. R. Ockendon Slovakia
Long Lee United States
Michael Carver Canada
Mária Lukáčová-Medviďová Germany
Abdelkader Mojtabi France
André Liemert Germany
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Citations per field
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M. A. Martínez · 1×
Citations per year

Countries citing papers authored by Peter Kaps

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kaps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979256
2 198177
3 198434
4 198530
5 199629
6 199629
7 201028
8 201526
9 201620
10 201319
11 201318
12 201415
13 200613
14 198911
15 201011
16 201910
17 199610
18 201010
19 20069
20 20088

About Peter Kaps

Peter Kaps is a scholar working on Orthopedics and Sports Medicine, Pulmonary and Respiratory Medicine, Atmospheric Science, Numerical Analysis and Computational Mechanics, having authored 40 papers that have together received 728 indexed citations. Recurring topics across this work include Winter Sports Injuries and Performance (26 papers), Cryospheric studies and observations (16 papers), Sports injuries and prevention (12 papers), Numerical methods for differential equations (7 papers), Sports Performance and Training (7 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Knee injuries and reconstruction techniques (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). The work is most often cited by research in Numerical Analysis (194 citations), Orthopedics and Sports Medicine (162 citations), Pulmonary and Respiratory Medicine (267 citations), Atmospheric Science (146 citations) and Computational Mechanics (166 citations). Peter Kaps has collaborated with scholars based in Austria, Germany and Canada. Frequent co-authors include P. Rentrop, Werner Nachbauer, Gerhard Wanner, D. Heinrich, Tien Dai Bui, Michael Hasler, Alexander Ostermann, Michael Oberguggenberger, Robert Eberle and Benno M. Nigg. Their work appears in journals such as Scandinavian Journal of Medicine and Science in Sports, Journal of Biomechanics, Journal of Applied Biomechanics, Journal of ASTM International and Numerische Mathematik.

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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