James E. Saal
- Metals and Alloys top 1%
- Materials Chemistry top 0.5%
- Machine Learning in Materials Science 21
- X-ray Diffraction in Crystallography 7
- Electronic and Structural Properties of Oxides 6
- Mechanical Engineering top 0.5%
- High Entropy Alloys Studies 14
- Intermetallics and Advanced Alloy Properties 7
- Biomaterials top 2%
- Magnesium Alloys: Properties and Applications 9
- Aerospace Engineering top 1%
- High-Temperature Coating Behaviors 12
-
- Advanced Materials Characterization Techniques 9
- Co-authors
- Chris WolvertonBryce MeredigScott KirklinMuratahan AykolJeff W. DoakAlexander ThompsonStefan RühlZi‐Kui Liu
- Partner nations
- United StatesFranceChina
In The Last Decade
James E. Saal
74 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Metals and Alloys 315
- Materials Chemistry 5.3k
- Mechanical Engineering 2.4k
- Biomaterials 604
- Aerospace Engineering 1.1k
Countries citing papers authored by James E. Saal
This map shows the geographic impact of James E. Saal'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 James E. Saal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Saal more than expected).
Fields of papers citing papers by James E. Saal
This network shows the impact of papers produced by James E. Saal. 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 James E. Saal. The network helps show where James E. Saal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James E. Saal, 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 | 2024 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 49 | |
| 6 | 2023 | 25 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 30 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 76 | |
| 11 | 2021 | 24 | |
| 12 | 2020 | 30 | |
| 13 | 2020 | 84 | |
| 14 | 2020 | 100 | |
| 15 | 2020 | 89 | |
| 16 | 2018 | 47 | |
| 17 | 2018 | 176 | |
| 18 | 2017 | 20 | |
| 19 | 2017 | 95 | |
| 20 | 2012 | 54 |
About James E. Saal
James E. Saal is a scholar working on General Materials Science, Materials Chemistry, Mechanical Engineering, Metals and Alloys and Condensed Matter Physics, having authored 76 papers that have together received 7.4k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (21 papers), High Entropy Alloys Studies (14 papers), High-Temperature Coating Behaviors (12 papers), Advanced Materials Characterization Techniques (9 papers), Magnesium Alloys: Properties and Applications (9 papers), X-ray Diffraction in Crystallography (7 papers), Intermetallics and Advanced Alloy Properties (7 papers) and Electronic and Structural Properties of Oxides (6 papers). The work is most often cited by research in Metals and Alloys (315 citations), Materials Chemistry (5.3k citations), Mechanical Engineering (2.4k citations), Biomaterials (604 citations) and Aerospace Engineering (1.1k citations). James E. Saal has collaborated with scholars based in United States, France and China. Frequent co-authors include Chris Wolverton, Bryce Meredig, Scott Kirklin, Muratahan Aykol, Jeff W. Doak, Alexander Thompson, Stefan Rühl, Zi‐Kui Liu, John R. Scully and Pin Lu. Their work appears in journals such as Acta Materialia, Scripta Materialia, JOM, Physical Review B and Calphad.
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.