Max C. Gallant
Impact in
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- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Electronic and Structural Properties of Oxides
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- Scientific Computing and Data Management
Papers in
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- Catalysis and Oxidation Reactions 2
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- Machine Learning in Materials Science 6
- X-ray Diffraction in Crystallography 4
- Electronic and Structural Properties of Oxides 3
- Catalytic Processes in Materials Science 1
- Co-authors
- Kristin A. PerssonMatthew J. McDermottChristopher J. BartelGerbrand CederAnubhav JainTanjin HeBernardus RendyAmil Merchant
- Journals
- Nature (2 papers)npj Computational Materials (1 paper)Chemistry of Materials (1 paper)ACS Central Science (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- United StatesDenmarkSouth Korea
In The Last Decade
Max C. Gallant
8 papers receiving 482 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Materials Chemistry 317
- Information Systems and Management 36
- Catalysis 28
- Health Informatics 4
- Computational Theory and Mathematics 47
Countries citing papers authored by Max C. Gallant
This map shows the geographic impact of Max C. Gallant'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 Max C. Gallant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max C. Gallant more than expected).
Fields of papers citing papers by Max C. Gallant
This network shows the impact of papers produced by Max C. Gallant. 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 Max C. Gallant. The network helps show where Max C. Gallant may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Max C. Gallant, 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 | 2024 | 21 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 19 | |
| 7 | An autonomous laboratory for the accelerated synthesis of inorganic materials Hit paper breakdown → | 2023 | 451 |
| 8 | 2022 | 2 |
About Max C. Gallant
Max C. Gallant is a scholar working on Catalysis, Materials Chemistry, Information Systems and Management, Inorganic Chemistry and Ocean Engineering, having authored 8 papers that have together received 505 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), X-ray Diffraction in Crystallography (4 papers), Electronic and Structural Properties of Oxides (3 papers), Catalysis and Oxidation Reactions (2 papers), Additive Manufacturing Materials and Processes (1 paper), Catalytic Processes in Materials Science (1 paper), Perovskite Materials and Applications (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Materials Chemistry (317 citations), Information Systems and Management (36 citations), Catalysis (28 citations), Health Informatics (4 citations) and Computational Theory and Mathematics (47 citations). Max C. Gallant has collaborated with scholars based in United States, Denmark and South Korea. Frequent co-authors include Kristin A. Persson, Matthew J. McDermott, Christopher J. Bartel, Gerbrand Ceder, Anubhav Jain, Tanjin He, Bernardus Rendy, Amil Merchant, Ekin D. Cubuk and Rishi E. Kumar. Their work appears in journals such as Nature, npj Computational Materials, Chemistry of Materials, ACS Central Science and Advanced Functional Materials.
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.