David A. Egger
- Materials Chemistry top 1%
- Solid-state spectroscopy and crystallography 20
- Quantum Dots Synthesis And Properties 14
- Machine Learning in Materials Science 11
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- Perovskite Materials and Applications 36
- Molecular Junctions and Nanostructures 24
- Chalcogenide Semiconductor Thin Films 9
- Polymers and Plastics top 2%
- Conducting polymers and applications 8
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- Quantum and electron transport phenomena 9
- Co-authors
- Leeor KronikDavid CahenGary HodesAndrew M. RappeThomas M. BrennerEgbert ZojerLiang Z. TanOmer Yaffe
- Journals
- The Journal of Physical Chemistry Letters (13 papers)The Journal of Physical Chemistry C (8 papers)Physical Review Materials (6 papers)
- Partner nations
- GermanyIsraelUnited States
In The Last Decade
David A. Egger
76 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Materials Chemistry 4.2k
- Electrical and Electronic Engineering 5.2k
- Polymers and Plastics 831
- Atomic and Molecular Physics, and Optics 1.0k
- Electronic, Optical and Magnetic Materials 566
Countries citing papers authored by David A. Egger
This map shows the geographic impact of David A. Egger'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 David A. Egger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Egger more than expected).
Fields of papers citing papers by David A. Egger
This network shows the impact of papers produced by David A. Egger. 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 David A. Egger. The network helps show where David A. Egger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David A. Egger, 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 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 17 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 17 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 12 | |
| 12 | 2023 | 15 | |
| 13 | 2022 | 32 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 76 | |
| 17 | 2020 | 12 | |
| 18 | 2019 | 65 | |
| 19 | 2018 | 118 | |
| 20 | 2018 | 31 |
About David A. Egger
David A. Egger is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 78 papers that have together received 5.8k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (36 papers), Molecular Junctions and Nanostructures (24 papers), Solid-state spectroscopy and crystallography (20 papers), Quantum Dots Synthesis And Properties (14 papers), Machine Learning in Materials Science (11 papers), Quantum and electron transport phenomena (9 papers), Chalcogenide Semiconductor Thin Films (9 papers) and Conducting polymers and applications (8 papers). The work is most often cited by research in Materials Chemistry (4.2k citations), Electrical and Electronic Engineering (5.2k citations) and Polymers and Plastics (831 citations). David A. Egger has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Leeor Kronik, David Cahen, Gary Hodes, Andrew M. Rappe, Thomas M. Brenner, Egbert Zojer, Liang Z. Tan, Omer Yaffe, David R. Reichman and Jeffrey B. Neaton. Their work appears in journals such as The Journal of Physical Chemistry Letters, The Journal of Physical Chemistry C, Physical Review Materials, Nano Letters and The Journal of Chemical Physics.
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.