Daniel Großmann
Impact in
- Computational Mechanics top 5%
- Laser Material Processing Techniques
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- Flexible and Reconfigurable Manufacturing Systems
- Digital Transformation in Industry
Papers in
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- Flexible and Reconfigurable Manufacturing Systems 18
- Digital Transformation in Industry 17
- Manufacturing Process and Optimization 8
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- Laser Material Processing Techniques 22
- Co-authors
- Malte Kumkar (19 shared papers)Jonas Kleiner (13 shared papers)Stefan Nolte (13 shared papers)Michael Jenne (12 shared papers)Daniel Flamm (17 shared papers)Klaus Bender (1 shared paper)Martin Reininghaus (3 shared papers)Myriam Kaiser (8 shared papers)
In The Last Decade
Daniel Großmann
61 papers receiving 430 citations
Peers
Comparison fields: 5 of 61
- Computational Mechanics 214
- Industrial and Manufacturing Engineering 100
- Ophthalmology 55
- Biomedical Engineering 164
- Atomic and Molecular Physics, and Optics 92
Countries citing papers authored by Daniel Großmann
This map shows the geographic impact of Daniel Großmann'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 Daniel Großmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Großmann more than expected).
Fields of papers citing papers by Daniel Großmann
This network shows the impact of papers produced by Daniel Großmann. 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 Daniel Großmann. The network helps show where Daniel Großmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Großmann, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 59 | |
| 2 | 2008 | 42 | |
| 3 | 2014 | 36 | |
| 4 | 2016 | 31 | |
| 5 | 2013 | 22 | |
| 6 | 2020 | 20 | |
| 7 | 2017 | 20 | |
| 8 | 2020 | 18 | |
| 9 | 2017 | 17 | |
| 10 | 2018 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2017 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2025 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2020 | 5 |
About Daniel Großmann
Daniel Großmann is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 71 papers that have together received 455 indexed citations. Recurring topics across this work include Laser Material Processing Techniques (22 papers), Flexible and Reconfigurable Manufacturing Systems (18 papers), Digital Transformation in Industry (17 papers), Manufacturing Process and Optimization (8 papers), Nonlinear Optical Materials Studies (8 papers), Ocular and Laser Science Research (7 papers), Advanced Surface Polishing Techniques (7 papers) and Fault Detection and Control Systems (7 papers). The work is most often cited by research in Computational Mechanics (214 citations), Industrial and Manufacturing Engineering (100 citations), Ophthalmology (55 citations), Biomedical Engineering (164 citations) and Atomic and Molecular Physics, and Optics (92 citations). Daniel Großmann has collaborated with scholars based in Germany, Egypt and Italy. Frequent co-authors include Malte Kumkar, Jonas Kleiner, Stefan Nolte, Michael Jenne, Daniel Flamm, Klaus Bender, Martin Reininghaus, Myriam Kaiser, Klaus Bergner and Reinhart Poprawe. Their work appears in journals such as Optics Express, IEEE Access, Sensors, Optics Letters and Applied Physics A.
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.