F. Meggendorfer
Impact in
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- Graphene research and applications
- 2D Materials and Applications
- Quantum Dots Synthesis And Properties
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- Molecular Junctions and Nanostructures
- Perovskite Materials and Applications
Papers in
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- Particle Accelerators and Free-Electron Lasers 2
- Molecular Junctions and Nanostructures 2
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- Image and Object Detection Techniques 3
- Co-authors
- Johannes V. Barth (4 shared papers)Carlos‐Andres Palma (4 shared papers)Jonathan J. Finley (3 shared papers)E. Margapoti (2 shared papers)Filippo Nisic (2 shared papers)Claudia Dragonetti (2 shared papers)Juan Li (1 shared paper)Max Seifert (1 shared paper)
In The Last Decade
F. Meggendorfer
8 papers receiving 190 citations
Peers
Comparison fields: 5 of 25
- Materials Chemistry 148
- Electrical and Electronic Engineering 95
- Atomic and Molecular Physics, and Optics 31
- Electronic, Optical and Magnetic Materials 16
- Biomedical Engineering 34
Countries citing papers authored by F. Meggendorfer
This map shows the geographic impact of F. Meggendorfer'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 F. Meggendorfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Meggendorfer more than expected).
Fields of papers citing papers by F. Meggendorfer
This network shows the impact of papers produced by F. Meggendorfer. 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 F. Meggendorfer. The network helps show where F. Meggendorfer may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Meggendorfer, 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 | 2018 | 69 | |
| 2 | 2015 | 57 | |
| 3 | 2014 | 35 | |
| 4 | 2020 | 26 | |
| 5 | 2020 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2018 | 1 | |
| 9 | 2016 | 0 |
About F. Meggendorfer
F. Meggendorfer is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering, having authored 9 papers that have together received 192 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (3 papers), Particle Detector Development and Performance (3 papers), 2D Materials and Applications (2 papers), Particle Accelerators and Free-Electron Lasers (2 papers), Molecular Junctions and Nanostructures (2 papers), Nanowire Synthesis and Applications (1 paper), Graphene and Nanomaterials Applications (1 paper) and Particle physics theoretical and experimental studies (1 paper). The work is most often cited by research in Materials Chemistry (148 citations), Electrical and Electronic Engineering (95 citations), Atomic and Molecular Physics, and Optics (31 citations), Electronic, Optical and Magnetic Materials (16 citations) and Biomedical Engineering (34 citations). F. Meggendorfer has collaborated with scholars based in Germany, Italy and China. Frequent co-authors include Johannes V. Barth, Carlos‐Andres Palma, Jonathan J. Finley, E. Margapoti, Filippo Nisic, Claudia Dragonetti, Juan Li, Max Seifert, Kläus Müllen and Alice Ruini. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials, Applied Physics Letters, Journal of Instrumentation and Zeitschrift für wirtschaftlichen Fabrikbetrieb.
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.