Ethan Berger
Impact in
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- MXene and MAX Phase Materials
- 2D Materials and Applications
- Machine Learning in Materials Science
Papers in
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- Machine Learning in Materials Science 6
- 2D Materials and Applications 5
- MXene and MAX Phase Materials 3
- Electronic and Structural Properties of Oxides 1
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- Perovskite Materials and Applications 3
- Co-authors
- Hannu‐Pekka Komsa (8 shared papers)Zhong‐Peng Lv (2 shared papers)Jin Zhou (2 shared papers)Xiaodan Hong (1 shared paper)Vesa Virtanen (1 shared paper)Seyed Hossein Hosseini Shokouh (1 shared paper)Krisztián Kordás (1 shared paper)Parisa Talebi (1 shared paper)
In The Last Decade
Ethan Berger
9 papers receiving 264 citations
Peers
Comparison fields: 5 of 35
- Materials Chemistry 205
- Structural Biology 5
- Electrical and Electronic Engineering 158
- Bioengineering 11
- Polymers and Plastics 23
Countries citing papers authored by Ethan Berger
This map shows the geographic impact of Ethan Berger'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 Ethan Berger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Berger more than expected).
Fields of papers citing papers by Ethan Berger
This network shows the impact of papers produced by Ethan Berger. 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 Ethan Berger. The network helps show where Ethan Berger may publish in the future.
Co-authors
The 25 scholars most cited alongside Ethan Berger, 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 | 2023 | 88 | |
| 2 | 2022 | 70 | |
| 3 | 2022 | 37 | |
| 4 | 2023 | 21 | |
| 5 | 2024 | 19 | |
| 6 | 2020 | 11 | |
| 7 | 2024 | 10 | |
| 8 | 2025 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2026 | 0 | |
| 11 | 2026 | 0 | |
| 12 | 2026 | 0 |
About Ethan Berger
Ethan Berger is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Mechanics of Materials, Computational Theory and Mathematics and Biophysics, having authored 12 papers that have together received 266 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), 2D Materials and Applications (5 papers), MXene and MAX Phase Materials (3 papers), Perovskite Materials and Applications (3 papers), Metal and Thin Film Mechanics (1 paper), Electronic and Structural Properties of Oxides (1 paper), Organic and Molecular Conductors Research (1 paper) and Conducting polymers and applications (1 paper). The work is most often cited by research in Materials Chemistry (205 citations), Structural Biology (5 citations), Electrical and Electronic Engineering (158 citations), Bioengineering (11 citations) and Polymers and Plastics (23 citations). Ethan Berger has collaborated with scholars based in Finland, Sweden and China. Frequent co-authors include Hannu‐Pekka Komsa, Zhong‐Peng Lv, Jin Zhou, Xiaodan Hong, Vesa Virtanen, Seyed Hossein Hosseini Shokouh, Krisztián Kordás, Parisa Talebi, Julia Wiktor and Jingshan Luo. Their work appears in journals such as The Journal of Physical Chemistry Letters, Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation, Sustainable Energy & Fuels and ACS Applied Materials & Interfaces.
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.