Bobby G. Sumpter
- Materials Chemistry top 0.1%
- Graphene research and applications 76
- Carbon Nanotubes in Composites 53
- Material Dynamics and Properties 48
- Machine Learning in Materials Science 40
- 2D Materials and Applications 37
- Polymers and Plastics top 0.2%
- Catalysis top 0.5%
- Structural Biology top 1%
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- Spectroscopy and Quantum Chemical Studies 44
- Advanced Chemical Physics Studies 39
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- Molecular Junctions and Nanostructures 43
- Co-authors
- Vincent MeunierJingsong HuangLiangbo LiangDonald W. NoidD. W. NoidRui QiaoSheng DaiHumberto Terrones
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (9 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Bobby G. Sumpter
570 papers receiving 24.6k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Materials Chemistry 14.3k
- Polymers and Plastics 3.7k
- Catalysis 1.8k
- Electronic, Optical and Magnetic Materials 4.4k
- Structural Biology 232
Countries citing papers authored by Bobby G. Sumpter
This map shows the geographic impact of Bobby G. Sumpter'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 Bobby G. Sumpter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bobby G. Sumpter more than expected).
Fields of papers citing papers by Bobby G. Sumpter
This network shows the impact of papers produced by Bobby G. Sumpter. 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 Bobby G. Sumpter. The network helps show where Bobby G. Sumpter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bobby G. Sumpter, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 40 | |
| 11 | Benchmarking graph neural networks for materials chemistrybreakdown → | 2021 | 207 |
| 12 | 2021 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 5 | |
| 16 | 2019 | 60 | |
| 17 | 2018 | 15 | |
| 18 | 2018 | 55 | |
| 19 | 2017 | 212 | |
| 20 | 2017 | 183 |
About Bobby G. Sumpter
Bobby G. Sumpter is a scholar working on Structural Biology, Materials Chemistry and Physical and Theoretical Chemistry, having authored 583 papers that have together received 25.0k indexed citations. Recurring topics across this work include Graphene research and applications (76 papers), Carbon Nanotubes in Composites (53 papers), Material Dynamics and Properties (48 papers), Spectroscopy and Quantum Chemical Studies (44 papers), Molecular Junctions and Nanostructures (43 papers), Machine Learning in Materials Science (40 papers), Advanced Chemical Physics Studies (39 papers) and 2D Materials and Applications (37 papers). The work is most often cited by research in Materials Chemistry (14.3k citations), Polymers and Plastics (3.7k citations) and Catalysis (1.8k citations). Bobby G. Sumpter has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Vincent Meunier, Jingsong Huang, Liangbo Liang, Donald W. Noid, D. W. Noid, Rui Qiao, Sheng Dai, Humberto Terrones, David B. Geohegan and Kai Xiao. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.