Robert C. Sinclair
Impact in
- Materials Chemistry top 10%
- Graphene research and applications
- Diamond and Carbon-based Materials Research
- Carbon Nanotubes in Composites
Papers in
-
- Graphene research and applications 6
- Carbon Nanotubes in Composites 4
- Machine Learning in Materials Science 3
-
- Graphene and Nanomaterials Applications 3
- Co-authors
- Peter V. Coveney (9 shared papers)James L. Suter (5 shared papers)Shunzhou Wan (1 shared paper)Robin A. Richardson (4 shared papers)Maxime Vassaux (3 shared papers)Paul Smith (1 shared paper)Christian D. Lorenz (1 shared paper)Khuloud T. Al‐Jamal (1 shared paper)
- Journals
- Advanced Theory and Simulations (4 papers)Advanced Materials (2 papers)Journal of Chemical Information and Modeling (1 paper)Carbon (1 paper)Social Cognition (1 paper)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Robert C. Sinclair
14 papers receiving 600 citations
Peers
Comparison fields: 5 of 90
- Materials Chemistry 360
- Polymers and Plastics 54
- Biomedical Engineering 165
- Mechanics of Materials 81
- Computational Theory and Mathematics 40
Countries citing papers authored by Robert C. Sinclair
This map shows the geographic impact of Robert C. Sinclair'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 Robert C. Sinclair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert C. Sinclair more than expected).
Fields of papers citing papers by Robert C. Sinclair
This network shows the impact of papers produced by Robert C. Sinclair. 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 Robert C. Sinclair. The network helps show where Robert C. Sinclair may publish in the future.
Co-authors
The 19 scholars most cited alongside Robert C. Sinclair, 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 | 2020 | 143 | |
| 2 | 2018 | 137 | |
| 3 | 2019 | 90 | |
| 4 | 2021 | 78 | |
| 5 | 2019 | 63 | |
| 6 | 2001 | 23 | |
| 7 | 2020 | 23 | |
| 8 | 2019 | 17 | |
| 9 | 2019 | 15 | |
| 10 | 2020 | 10 | |
| 11 | 1983 | 4 | |
| 12 | 2007 | 4 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 1 |
About Robert C. Sinclair
Robert C. Sinclair is a scholar working on Materials Chemistry, Biomedical Engineering, Molecular Biology, Social Psychology and Mechanics of Materials, having authored 14 papers that have together received 609 indexed citations. Recurring topics across this work include Graphene research and applications (6 papers), Carbon Nanotubes in Composites (4 papers), Graphene and Nanomaterials Applications (3 papers), Machine Learning in Materials Science (3 papers), Color perception and design (2 papers), Advanced Mathematical Modeling in Engineering (2 papers), Force Microscopy Techniques and Applications (2 papers) and Composite Material Mechanics (2 papers). The work is most often cited by research in Materials Chemistry (360 citations), Polymers and Plastics (54 citations), Biomedical Engineering (165 citations), Mechanics of Materials (81 citations) and Computational Theory and Mathematics (40 citations). Robert C. Sinclair has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Peter V. Coveney, James L. Suter, Shunzhou Wan, Robin A. Richardson, Maxime Vassaux, Paul Smith, Christian D. Lorenz, Khuloud T. Al‐Jamal, Jan Węglarz and Wouter Edeling. Their work appears in journals such as Advanced Theory and Simulations, Advanced Materials, Journal of Chemical Information and Modeling, Carbon and Social Cognition.
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.