Kyle Mills
Impact in
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- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Papers in
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- Machine Learning in Materials Science 7
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- Catalysis for Biomass Conversion 2
- Co-authors
- Isaac Tamblyn (9 shared papers)Michael Spanner (2 shared papers)Kevin Ryczko (3 shared papers)Lei Wang (1 shared paper)Robert H. Morris (1 shared paper)Rafael C. Carvalho (1 shared paper)Sarah M. Hamylton (1 shared paper)Christa M. Homenick (1 shared paper)
- Journals
- Physical review. A (2 papers)The Journal of Physical Chemistry C (1 paper)Chemical Science (1 paper)The Journal of Physical Chemistry (1 paper)Applied Catalysis A General (1 paper)
- Partner nations
- CanadaUnited StatesThailand
In The Last Decade
Kyle Mills
16 papers receiving 447 citations
Peers
Comparison fields: 5 of 105
- Materials Chemistry 174
- Process Chemistry and Technology 9
- Computational Theory and Mathematics 53
- Ecological Modeling 12
- Atomic and Molecular Physics, and Optics 85
Countries citing papers authored by Kyle Mills
This map shows the geographic impact of Kyle Mills'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 Kyle Mills with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Mills more than expected).
Fields of papers citing papers by Kyle Mills
This network shows the impact of papers produced by Kyle Mills. 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 Kyle Mills. The network helps show where Kyle Mills may publish in the future.
Co-authors
The 23 scholars most cited alongside Kyle Mills, 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 | 2017 | 122 | |
| 2 | 2020 | 81 | |
| 3 | 2019 | 40 | |
| 4 | 2020 | 38 | |
| 5 | 2018 | 34 | |
| 6 | 2020 | 25 | |
| 7 | Treatment of nursing home-acquired pneumonia. | 2009 | 25 |
| 8 | Medical management of stable coronary artery disease. | 2011 | 23 |
| 9 | 2020 | 19 | |
| 10 | 2018 | 17 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2021 | 4 | |
| 14 | 2018 | 2 | |
| 15 | Adversarial Generation of Mesoscale Surfaces from Small-Scale Chemical Motifs | 2020 | 1 |
| 16 | 2020 | 1 |
About Kyle Mills
Kyle Mills is a scholar working on Materials Chemistry, Biomedical Engineering, Inorganic Chemistry, Process Chemistry and Technology and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 453 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Quantum many-body systems (2 papers), Carbon dioxide utilization in catalysis (2 papers), Catalysis for Biomass Conversion (2 papers), Zeolite Catalysis and Synthesis (1 paper), Bartonella species infections research (1 paper), Metal-Organic Frameworks: Synthesis and Applications (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Materials Chemistry (174 citations), Process Chemistry and Technology (9 citations), Computational Theory and Mathematics (53 citations), Ecological Modeling (12 citations) and Atomic and Molecular Physics, and Optics (85 citations). Kyle Mills has collaborated with scholars based in Canada, United States and Thailand. Frequent co-authors include Isaac Tamblyn, Michael Spanner, Kevin Ryczko, Lei Wang, Robert H. Morris, Rafael C. Carvalho, Sarah M. Hamylton, Christa M. Homenick, Ira Dauber and Mohammad Shahinur Rahaman. Their work appears in journals such as Physical review. A, The Journal of Physical Chemistry C, Chemical Science, The Journal of Physical Chemistry and Applied Catalysis A General.
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.