Mark Asta
- Materials Chemistry top 0.05%
- Microstructure and mechanical properties 48
- Nuclear Materials and Properties 40
- Machine Learning in Materials Science 33
- Solidification and crystal growth phenomena 28
- Mechanical Engineering top 0.02%
- Intermetallics and Advanced Alloy Properties 54
- High Entropy Alloys Studies 31
- Metals and Alloys top 0.5%
- Condensed Matter Physics top 0.5%
- Theoretical and Computational Physics 39
- Aerospace Engineering top 0.05%
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- nanoparticles nucleation surface interactions 73
Mark Asta
363 papers receiving 28.0k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Materials Chemistry 18.9k
- Mechanical Engineering 10.1k
- Metals and Alloys 608
- Condensed Matter Physics 2.2k
- Aerospace Engineering 4.5k
Countries citing papers authored by Mark Asta
This map shows the geographic impact of Mark Asta'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 Mark Asta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Asta more than expected).
Fields of papers citing papers by Mark Asta
This network shows the impact of papers produced by Mark Asta. 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 Mark Asta. The network helps show where Mark Asta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Asta, 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 | 3 | |
| 2 | A framework to evaluate machine learning crystal stability predictionsbreakdown → | 2025 | 29 |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 53 | |
| 11 | 2023 | 42 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 29 | |
| 14 | Theoretical prediction of high melting temperature for a Mo–Ru–Ta–W HCP multiprincipal element alloybreakdown → | 2021 | 213 |
| 15 | 2020 | 24 | |
| 16 | 2020 | 59 | |
| 17 | 2020 | 252 | |
| 18 | 2020 | 10 | |
| 19 | 2019 | 27 | |
| 20 | 2016 | 43 |
About Mark Asta
Mark Asta is a scholar working on Materials Chemistry, Condensed Matter Physics and Atmospheric Science, having authored 375 papers that have together received 28.7k indexed citations. Recurring topics across this work include nanoparticles nucleation surface interactions (73 papers), Intermetallics and Advanced Alloy Properties (54 papers), Microstructure and mechanical properties (48 papers), Nuclear Materials and Properties (40 papers), Theoretical and Computational Physics (39 papers), Machine Learning in Materials Science (33 papers), High Entropy Alloys Studies (31 papers) and Solidification and crystal growth phenomena (28 papers). The work is most often cited by research in Materials Chemistry (18.9k citations), Mechanical Engineering (10.1k citations) and Metals and Alloys (608 citations). Mark Asta has collaborated with scholars based in United States, China and Canada. Frequent co-authors include J.J. Hoyt, Axel van de Walle, Robert O. Ritchie, Mikhail I. Mendelev, D. Y. Sun, David L. Olmsted, Alain Karma, Gautam Ghosh, Vidvuds Ozoliņš and Jun Ding. Their work appears in journals such as Acta Materialia, Physical Review B, Physical Review Letters, Physical review. B, Condensed matter and Computational Materials Science.
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.