Debora Schamel
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Biomedical Engineering top 10%
- Microfluidic and Bio-sensing Technologies
- Molecular Communication and Nanonetworks
- Characterization and Applications of Magnetic Nanoparticles
Papers in
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- Micro and Nano Robotics 4
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- Characterization and Applications of Magnetic Nanoparticles 2
- Molecular Communication and Nanonetworks 1
- Co-authors
- Andrew G. Mark (5 shared papers)Peer Fischer (5 shared papers)John G. Gibbs (4 shared papers)Cornelia Miksch (1 shared paper)Alexander M. Leshansky (1 shared paper)Konstantin I. Morozov (1 shared paper)Marcel Pfeifer (1 shared paper)Tung‐Chun Lee (1 shared paper)
- Journals
- Journal of the American Chemical Society (1 paper)ACS Nano (1 paper)Nanoscale (1 paper)Angewandte Chemie International Edition (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- GermanySwitzerlandIreland
In The Last Decade
Debora Schamel
7 papers receiving 559 citations
Peers
Comparison fields: 5 of 49
- Condensed Matter Physics 352
- Biomedical Engineering 350
- Electronic, Optical and Magnetic Materials 73
- Mechanical Engineering 132
- Surfaces, Coatings and Films 21
Countries citing papers authored by Debora Schamel
This map shows the geographic impact of Debora Schamel'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 Debora Schamel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Schamel more than expected).
Fields of papers citing papers by Debora Schamel
This network shows the impact of papers produced by Debora Schamel. 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 Debora Schamel. The network helps show where Debora Schamel may publish in the future.
Co-authors
The 15 scholars most cited alongside Debora Schamel, 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 | 2014 | 282 | |
| 2 | 2013 | 105 | |
| 3 | 2014 | 104 | |
| 4 | 2012 | 52 | |
| 5 | 2014 | 13 | |
| 6 | 2012 | 8 | |
| 7 | 2014 | 1 |
About Debora Schamel
Debora Schamel is a scholar working on Condensed Matter Physics, Biomedical Engineering, Materials Chemistry, Organic Chemistry and Mechanical Engineering, having authored 7 papers that have together received 565 indexed citations. Recurring topics across this work include Pickering emulsions and particle stabilization (4 papers), Micro and Nano Robotics (4 papers), Characterization and Applications of Magnetic Nanoparticles (2 papers), Advanced Polymer Synthesis and Characterization (2 papers), Mesoporous Materials and Catalysis (1 paper), Modular Robots and Swarm Intelligence (1 paper), Molecular Communication and Nanonetworks (1 paper) and Surface Modification and Superhydrophobicity (1 paper). The work is most often cited by research in Condensed Matter Physics (352 citations), Biomedical Engineering (350 citations), Electronic, Optical and Magnetic Materials (73 citations), Mechanical Engineering (132 citations) and Surfaces, Coatings and Films (21 citations). Debora Schamel has collaborated with scholars based in Germany, Switzerland and Ireland. Frequent co-authors include Andrew G. Mark, Peer Fischer, John G. Gibbs, Cornelia Miksch, Alexander M. Leshansky, Konstantin I. Morozov, Marcel Pfeifer, Tung‐Chun Lee, Sahand Eslami and Michael D. Gilchrist. Their work appears in journals such as Journal of the American Chemical Society, ACS Nano, Nanoscale, Angewandte Chemie International Edition and Lecture notes in computer 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.