Michael G. Scheer
Impact in
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- Quantum and electron transport phenomena
- Topological Materials and Phenomena
- Quantum many-body systems
- Mechanical and Optical Resonators
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Advanced Condensed Matter Physics 4
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- Topological Materials and Phenomena 6
- Quantum and electron transport phenomena 3
- Co-authors
- Biao Lian (6 shared papers)Marc J. F. Wouters (1 shared paper)Hakan E. Türeci (1 shared paper)Ryan L. Lee (1 shared paper)Kenji Watanabe (1 shared paper)Kevin P. Nuckolls (1 shared paper)Jonah Herzog-Arbeitman (1 shared paper)Ali Yazdani (1 shared paper)
- Journals
- Physical review. B. (2 papers)Physical Review Letters (2 papers)Science Advances (1 paper)Physical Review A (1 paper)Nature (1 paper)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Michael G. Scheer
10 papers receiving 381 citations
Peers
Comparison fields: 5 of 41
- Atomic and Molecular Physics, and Optics 284
- Artificial Intelligence 283
- Condensed Matter Physics 32
- Computational Theory and Mathematics 24
- Structural Biology 2
Countries citing papers authored by Michael G. Scheer
This map shows the geographic impact of Michael G. Scheer'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 Michael G. Scheer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Scheer more than expected).
Fields of papers citing papers by Michael G. Scheer
This network shows the impact of papers produced by Michael G. Scheer. 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 Michael G. Scheer. The network helps show where Michael G. Scheer may publish in the future.
Co-authors
The 12 scholars most cited alongside Michael G. Scheer, 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 | 188 | |
| 2 | 2018 | 130 | |
| 3 | 2016 | 20 | |
| 4 | 2022 | 17 | |
| 5 | 2025 | 10 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 1 | |
| 11 | 2026 | 0 |
About Michael G. Scheer
Michael G. Scheer is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Materials Chemistry, Artificial Intelligence and Management of Technology and Innovation, having authored 11 papers that have together received 397 indexed citations. Recurring topics across this work include Topological Materials and Phenomena (6 papers), Graphene research and applications (5 papers), Advanced Condensed Matter Physics (4 papers), Quantum Information and Cryptography (3 papers), Quantum and electron transport phenomena (3 papers), Quantum Computing Algorithms and Architecture (2 papers), 2D Materials and Applications (1 paper) and Quality Function Deployment in Product Design (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (284 citations), Artificial Intelligence (283 citations), Condensed Matter Physics (32 citations), Computational Theory and Mathematics (24 citations) and Structural Biology (2 citations). Michael G. Scheer has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Biao Lian, Marc J. F. Wouters, Hakan E. Türeci, Ryan L. Lee, Kenji Watanabe, Kevin P. Nuckolls, Jonah Herzog-Arbeitman, Ali Yazdani, Dillon Wong and Myungchul Oh. Their work appears in journals such as Physical review. B., Physical Review Letters, Science Advances, Physical Review A and Nature.
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.