D. Reith
Impact in
- Condensed Matter Physics top 5%
- Rare-earth and actinide compounds
- Physics of Superconductivity and Magnetism
- Advanced Condensed Matter Physics
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- Iron-based superconductors research
Papers in
-
- Microstructure and mechanical properties 4
- Machine Learning in Materials Science 4
- Nuclear Materials and Properties 2
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- Iron-based superconductors research 6
- Co-authors
- R. Podloucky (12 shared papers)P. Rogl (6 shared papers)E. Bauer (6 shared papers)H. Michor (4 shared papers)W. Wolf (5 shared papers)Martijn Marsman (2 shared papers)E. Royanian (2 shared papers)E.-W. Scheidt (1 shared paper)
In The Last Decade
D. Reith
18 papers receiving 384 citations
Peers
Comparison fields: 5 of 28
- Condensed Matter Physics 242
- Electronic, Optical and Magnetic Materials 223
- Inorganic Chemistry 73
- Materials Chemistry 145
- Metals and Alloys 8
Countries citing papers authored by D. Reith
This map shows the geographic impact of D. Reith'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 D. Reith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Reith more than expected).
Fields of papers citing papers by D. Reith
This network shows the impact of papers produced by D. Reith. 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 D. Reith. The network helps show where D. Reith may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Reith, 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 | 2009 | 101 | |
| 2 | 2015 | 46 | |
| 3 | 2013 | 40 | |
| 4 | 2014 | 34 | |
| 5 | 2010 | 31 | |
| 6 | 2018 | 24 | |
| 7 | 2009 | 23 | |
| 8 | 2016 | 18 | |
| 9 | 2022 | 15 | |
| 10 | 2011 | 15 | |
| 11 | 2012 | 14 | |
| 12 | 2012 | 11 | |
| 13 | 2011 | 8 | |
| 14 | 2018 | 6 | |
| 15 | 2014 | 4 | |
| 16 | 2024 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2011 | 1 | |
| 19 | 2017 | 0 |
About D. Reith
D. Reith is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Mechanical Engineering and Inorganic Chemistry, having authored 19 papers that have together received 395 indexed citations. Recurring topics across this work include Rare-earth and actinide compounds (6 papers), Iron-based superconductors research (6 papers), Microstructure and mechanical properties (4 papers), Machine Learning in Materials Science (4 papers), Inorganic Chemistry and Materials (4 papers), Physics of Superconductivity and Magnetism (3 papers), Intermetallics and Advanced Alloy Properties (3 papers) and Nuclear Materials and Properties (2 papers). The work is most often cited by research in Condensed Matter Physics (242 citations), Electronic, Optical and Magnetic Materials (223 citations), Inorganic Chemistry (73 citations), Materials Chemistry (145 citations) and Metals and Alloys (8 citations). D. Reith has collaborated with scholars based in Austria, France and Germany. Frequent co-authors include R. Podloucky, P. Rogl, E. Bauer, H. Michor, W. Wolf, Martijn Marsman, E. Royanian, E.-W. Scheidt, N. Melnychenko‐Koblyuk and A. Grytsiv. Their work appears in journals such as Physical Review B, International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde), Journal of Materials Science, Integrating materials and manufacturing innovation and Physica C Superconductivity.
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.