Valentin Lang
Impact in
- Computational Mechanics top 5%
- Laser Material Processing Techniques
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
Papers in
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- Laser Material Processing Techniques 18
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- Additive Manufacturing and 3D Printing Technologies 4
- Co-authors
- Andrés Fabián Lasagni (21 shared papers)Teja Roch (6 shared papers)Tim Kunze (10 shared papers)Bogdan Voisiat (5 shared papers)Matthias Bieda (4 shared papers)Michael Hans (1 shared paper)Frank Mücklich (1 shared paper)E. Beyer (1 shared paper)
In The Last Decade
Valentin Lang
26 papers receiving 367 citations
Peers
Comparison fields: 5 of 30
- Computational Mechanics 209
- Surfaces, Coatings and Films 50
- Automotive Engineering 16
- Mechanical Engineering 42
- Biomedical Engineering 38
Countries citing papers authored by Valentin Lang
This map shows the geographic impact of Valentin Lang'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 Valentin Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Lang more than expected).
Fields of papers citing papers by Valentin Lang
This network shows the impact of papers produced by Valentin Lang. 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 Valentin Lang. The network helps show where Valentin Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Valentin Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2015 | 37 | |
| 3 | 2016 | 37 | |
| 4 | 2019 | 30 | |
| 5 | 2017 | 29 | |
| 6 | 2016 | 25 | |
| 7 | 2017 | 21 | |
| 8 | 2016 | 19 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2020 | 13 | |
| 12 | 2016 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2017 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2016 | 3 |
About Valentin Lang
Valentin Lang is a scholar working on Computational Mechanics, Automotive Engineering, Industrial and Manufacturing Engineering, Biomedical Engineering and Management Science and Operations Research, having authored 26 papers that have together received 374 indexed citations. Recurring topics across this work include Laser Material Processing Techniques (18 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Industrial Vision Systems and Defect Detection (2 papers), Nanofabrication and Lithography Techniques (2 papers), Digital Transformation in Industry (1 paper), Impact of AI and Big Data on Business and Society (1 paper), Tribology and Lubrication Engineering (1 paper) and Advancements in Photolithography Techniques (1 paper). The work is most often cited by research in Computational Mechanics (209 citations), Surfaces, Coatings and Films (50 citations), Automotive Engineering (16 citations), Mechanical Engineering (42 citations) and Biomedical Engineering (38 citations). Valentin Lang has collaborated with scholars based in Germany and Argentina. Frequent co-authors include Andrés Fabián Lasagni, Teja Roch, Tim Kunze, Bogdan Voisiat, Matthias Bieda, Michael Hans, Frank Mücklich, E. Beyer, Andreas Rosenkranz and Carsten Gachot. Their work appears in journals such as Advanced Engineering Materials, Journal of Manufacturing and Materials Processing, Applied Sciences, Materials and Applied System Innovation.
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.