Kai Winands
Impact in
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
- Computational Mechanics top 5%
- Laser Material Processing Techniques
Papers in
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- Laser Material Processing Techniques 8
- Surface Roughness and Optical Measurements 3
-
- Adhesion, Friction, and Surface Interactions 6
- Co-authors
- Fritz Klocke (7 shared papers)Kristian Arntz (7 shared papers)Werner Baumgärtner (4 shared papers)Philipp Comanns (3 shared papers)Alexandros Mimidis (2 shared papers)Evangelos Skoulas (2 shared papers)Emmanuel Stratakis (2 shared papers)Jörg Krüger (2 shared papers)
In The Last Decade
Kai Winands
15 papers receiving 334 citations
Peers
Comparison fields: 5 of 49
- Surfaces, Coatings and Films 73
- Computational Mechanics 164
- Automotive Engineering 75
- Mechanics of Materials 110
- Mechanical Engineering 143
Countries citing papers authored by Kai Winands
This map shows the geographic impact of Kai Winands'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 Kai Winands with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Winands more than expected).
Fields of papers citing papers by Kai Winands
This network shows the impact of papers produced by Kai Winands. 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 Kai Winands. The network helps show where Kai Winands may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Winands, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2017 | 72 | |
| 3 | 2016 | 61 | |
| 4 | 2014 | 21 | |
| 5 | 2012 | 20 | |
| 6 | 2018 | 17 | |
| 7 | 2017 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2016 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 2018 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2013 | 5 | |
| 14 | Vernetzte, adaptive Produktion | 2017 | 5 |
| 15 | 2018 | 1 |
About Kai Winands
Kai Winands is a scholar working on Computational Mechanics, Mechanics of Materials, Mechanical Engineering, Biomedical Engineering and Surfaces, Coatings and Films, having authored 15 papers that have together received 349 indexed citations. Recurring topics across this work include Laser Material Processing Techniques (8 papers), Adhesion, Friction, and Surface Interactions (6 papers), Surface Modification and Superhydrophobicity (4 papers), Advanced Surface Polishing Techniques (4 papers), Surface Roughness and Optical Measurements (3 papers), Additive Manufacturing Materials and Processes (3 papers), Advanced machining processes and optimization (3 papers) and High Entropy Alloys Studies (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (73 citations), Computational Mechanics (164 citations), Automotive Engineering (75 citations), Mechanics of Materials (110 citations) and Mechanical Engineering (143 citations). Kai Winands has collaborated with scholars based in Germany, Austria and Greece. Frequent co-authors include Fritz Klocke, Kristian Arntz, Werner Baumgärtner, Philipp Comanns, Alexandros Mimidis, Evangelos Skoulas, Emmanuel Stratakis, Jörg Krüger, Sabrina V. Kirner and Jörn Bonse. Their work appears in journals such as Applied Physics A, Optics and Lasers in Engineering, Journal of The Royal Society Interface, International Journal of Automation Technology and Applied Surface Science.
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.