Evan J. Reed
- Materials Chemistry top 0.5%
- Electrical and Electronic Engineering top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Biomedical Engineering top 2%
- Mechanics of Materials top 1%
- Co-authors
- Karel-Alexander N. DuerlooMitchell T. OngLaurence E. FriedYao LiAustin D. SendekJohn D. JoannopoulosEkin D. CubukYao Zhou
- Topics
- 2D Materials and Applications (29 papers)High-pressure geophysics and materials (25 papers)Machine Learning in Materials Science (22 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Evan J. Reed
120 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Materials Chemistry 6.6k
- Electrical and Electronic Engineering 3.4k
- Atomic and Molecular Physics, and Optics 1.4k
- Biomedical Engineering 1.3k
- Mechanics of Materials 1.1k
Countries citing papers authored by Evan J. Reed
This map shows the geographic impact of Evan J. Reed'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 Evan J. Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan J. Reed more than expected).
Fields of papers citing papers by Evan J. Reed
This network shows the impact of papers produced by Evan J. Reed. 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 Evan J. Reed. The network helps show where Evan J. Reed may publish in the future.
Co-authorship network of co-authors of Evan J. Reed
This figure shows the co-authorship network connecting the top 25 collaborators of Evan J. Reed. A scholar is included among the top collaborators of Evan J. Reed 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 Evan J. Reed. Evan J. Reed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 19 | |
| 3 | 16 | |
| 4 | 23 | |
| 5 | 48 | |
| 6 | Quantifying the search for solid Li-ion electrolyte materials by anion: A data-driven perspective | 45 |
| 7 | 64 | |
| 8 | 11 | |
| 9 | 25 | |
| 10 | 51 | |
| 11 | 11 | |
| 12 | 6 | |
| 13 | A review on mechanics and mechanical properties of 2D materials—Graphene and beyondbreakdown → | 1048 |
| 14 | 205 | |
| 15 | 98 | |
| 16 | 29 | |
| 17 | 17 | |
| 18 | 6 | |
| 19 | 22 | |
| 20 | Complexity Growth in Almost Periodic Fluids in the Case of Lattice Gas Cellular Automata and Vlasov Systems. | 1 |
About Evan J. Reed
Evan J. Reed is a scholar working on Geophysics, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 121 papers that have together received 9.2k indexed citations. Recurring topics across this work include 2D Materials and Applications (29 papers), High-pressure geophysics and materials (25 papers) and Machine Learning in Materials Science (22 papers). The work is most often cited by research in Materials Chemistry (6.6k citations), Electrical and Electronic Engineering (3.4k citations) and Geophysics (647 citations). Evan J. Reed has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Karel-Alexander N. Duerloo, Mitchell T. Ong, Laurence E. Fried, Yao Li, Austin D. Sendek, John D. Joannopoulos, Ekin D. Cubuk, Yao Zhou, Yi Cui and M. Riad Manaa. Their work appears in journals such as Nature, Science 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.