Yoav Lederer
Impact in
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- High Entropy Alloys Studies
- Additive Manufacturing Materials and Processes
- Advanced materials and composites
- Aerospace Engineering top 10%
- High-Temperature Coating Behaviors
Papers in
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- Nuclear reactor physics and engineering 2
- High-Temperature Coating Behaviors 1
- Nuclear Engineering Thermal-Hydraulics 1
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- Machine Learning in Materials Science 2
- X-ray Diffraction in Crystallography 2
- Nuclear Materials and Properties 1
- Co-authors
- Cormac Toher (3 shared papers)Stefano Curtarolo (3 shared papers)Kenneth S. Vecchio (1 shared paper)Ohad Levy (2 shared papers)Ichiro Takeuchi (2 shared papers)David Hicks (2 shared papers)Corey Oses (2 shared papers)Michael J. Mehl (2 shared papers)
- Journals
- Acta Materialia (1 paper)Journal of Chemical Information and Modeling (1 paper)Annals of Nuclear Energy (1 paper)Computational Materials Science (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- GermanyIsraelUnited States
In The Last Decade
Yoav Lederer
5 papers receiving 252 citations
Peers
Comparison fields: 5 of 34
- Mechanical Engineering 156
- Aerospace Engineering 100
- Materials Chemistry 131
- Ceramics and Composites 11
- Metals and Alloys 3
Countries citing papers authored by Yoav Lederer
This map shows the geographic impact of Yoav Lederer'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 Yoav Lederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoav Lederer more than expected).
Fields of papers citing papers by Yoav Lederer
This network shows the impact of papers produced by Yoav Lederer. 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 Yoav Lederer. The network helps show where Yoav Lederer may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoav Lederer, 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 | 156 | |
| 2 | 2018 | 74 | |
| 3 | 2022 | 23 | |
| 4 | 2018 | 5 | |
| 5 | A simplified spatial model for BWR stability | 2012 | 1 |
About Yoav Lederer
Yoav Lederer is a scholar working on Aerospace Engineering, Materials Chemistry, Radiation, Mechanical Engineering and Statistics, Probability and Uncertainty, having authored 5 papers that have together received 259 indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (2 papers), Machine Learning in Materials Science (2 papers), X-ray Diffraction in Crystallography (2 papers), Nuclear Physics and Applications (1 paper), Inorganic Chemistry and Materials (1 paper), High-Temperature Coating Behaviors (1 paper), Nuclear Materials and Properties (1 paper) and Nuclear Engineering Thermal-Hydraulics (1 paper). The work is most often cited by research in Mechanical Engineering (156 citations), Aerospace Engineering (100 citations), Materials Chemistry (131 citations), Ceramics and Composites (11 citations) and Metals and Alloys (3 citations). Yoav Lederer has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Cormac Toher, Stefano Curtarolo, Kenneth S. Vecchio, Ohad Levy, Ichiro Takeuchi, David Hicks, Corey Oses, Michael J. Mehl, Matthias Scheffler and Stefano Sanvito. Their work appears in journals such as Acta Materialia, Journal of Chemical Information and Modeling, Annals of Nuclear Energy, Computational Materials Science and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.