Maxwell Hutchinson
- Metals and Alloys top 10%
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- Machine Learning in Materials Science 5
- X-ray Diffraction in Crystallography 2
- Quasicrystal Structures and Properties 1
- Electronic and Structural Properties of Oxides 1
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 2
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- Mineral Processing and Grinding 2
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- Advanced Data Storage Technologies 2
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- Advanced Condensed Matter Physics 1
- Co-authors
- Michael WidomErin AntonoBryce MeredigJulia LingBrenna M. GibbonsAlexander HeineckeSean ParadisoHans Pabst
- Journals
- Computer Physics Communications (1 paper)Theoretical Computer Science (1 paper)Physical Review Materials (1 paper)
- Partner nations
- United StatesEgyptSaudi Arabia
In The Last Decade
Maxwell Hutchinson
9 papers receiving 465 citations
Peers
Comparison fields: 5 of 66
- Computational Mathematics 8
- Metals and Alloys 25
- Materials Chemistry 308
- Hardware and Architecture 44
- Computational Theory and Mathematics 71
Countries citing papers authored by Maxwell Hutchinson
This map shows the geographic impact of Maxwell Hutchinson'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 Maxwell Hutchinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxwell Hutchinson more than expected).
Fields of papers citing papers by Maxwell Hutchinson
This network shows the impact of papers produced by Maxwell Hutchinson. 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 Maxwell Hutchinson. The network helps show where Maxwell Hutchinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maxwell Hutchinson, 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 | 2023 | 20 | |
| 2 | 2020 | 7 | |
| 3 | Solving industrial materials problems by using machine learning across diverse computational and experimental data | 2018 | 4 |
| 4 | 2018 | 23 | |
| 5 | 2018 | 167 | |
| 6 | 2017 | 63 | |
| 7 | 2016 | 67 | |
| 8 | 2015 | 3 | |
| 9 | 2012 | 129 |
About Maxwell Hutchinson
Maxwell Hutchinson is a scholar working on Metals and Alloys, Discrete Mathematics and Combinatorics, Hardware and Architecture, Computer Graphics and Computer-Aided Design and Materials Chemistry, having authored 9 papers that have together received 483 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Parallel Computing and Optimization Techniques (2 papers), Mineral Processing and Grinding (2 papers), X-ray Diffraction in Crystallography (2 papers), Advanced Data Storage Technologies (2 papers), Advanced Condensed Matter Physics (1 paper), Quasicrystal Structures and Properties (1 paper) and Electronic and Structural Properties of Oxides (1 paper). The work is most often cited by research in Computational Mathematics (8 citations), Metals and Alloys (25 citations), Materials Chemistry (308 citations), Hardware and Architecture (44 citations) and Computational Theory and Mathematics (71 citations). Maxwell Hutchinson has collaborated with scholars based in United States, Egypt and Saudi Arabia. Frequent co-authors include Michael Widom, Erin Antono, Bryce Meredig, Julia Ling, Brenna M. Gibbons, Alexander Heinecke, Sean Paradiso, Hans Pabst, Greg Henry and Jason Hattrick‐Simpers. Their work appears in journals such as Computer Physics Communications, Theoretical Computer Science, Physical Review Materials, Molecular Systems Design & Engineering and Concurrency and Computation Practice and Experience.
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.