Sharlotte Kramer
- Polymers and Plastics top 1%
- Biomedical Engineering top 5%
- Materials Chemistry top 10%
- Organic Chemistry top 5%
- Mechanical Engineering top 10%
- Co-authors
- Nancy R. SottosScott R. WhiteJeffrey S. MooreBen BlaiszikSolar C. OlugebefolaBrett A. BeiermannDavid A. McIlroyMartha E. Grady
- Topics
- Additive Manufacturing Materials and Processes (5 papers)Model Reduction and Neural Networks (5 papers)Metal Forming Simulation Techniques (5 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Sharlotte Kramer
31 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Polymers and Plastics 1.1k
- Biomedical Engineering 577
- Materials Chemistry 554
- Organic Chemistry 514
- Mechanical Engineering 302
Countries citing papers authored by Sharlotte Kramer
This map shows the geographic impact of Sharlotte Kramer'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 Sharlotte Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharlotte Kramer more than expected).
Fields of papers citing papers by Sharlotte Kramer
This network shows the impact of papers produced by Sharlotte Kramer. 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 Sharlotte Kramer. The network helps show where Sharlotte Kramer may publish in the future.
Co-authorship network of co-authors of Sharlotte Kramer
This figure shows the co-authorship network connecting the top 25 collaborators of Sharlotte Kramer. A scholar is included among the top collaborators of Sharlotte Kramer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sharlotte Kramer. Sharlotte Kramer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 3 | |
| 5 | 42 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 32 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 48 | |
| 15 | 2 | |
| 16 | Digital Volume Correlation for Materials Characterization. | 3 |
| 17 | 100 | |
| 18 | 269 | |
| 19 | 6 | |
| 20 | 10 |
About Sharlotte Kramer
Sharlotte Kramer is a scholar working on Mechanics of Materials, Statistical and Nonlinear Physics and Industrial and Manufacturing Engineering, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (5 papers), Model Reduction and Neural Networks (5 papers) and Metal Forming Simulation Techniques (5 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Surfaces, Coatings and Films (204 citations) and Biomaterials (266 citations). Sharlotte Kramer has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Nancy R. Sottos, Scott R. White, Jeffrey S. Moore, Ben Blaiszik, Solar C. Olugebefola, Brett A. Beiermann, David A. McIlroy, Martha E. Grady, Douglas A. Davis and Craig M. Hamel. Their work appears in journals such as Advanced Materials, Advanced Functional Materials and Journal of Materials Chemistry.
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.