Kyle Bystrom
- Materials Chemistry top 10%
- Machine Learning in Materials Science 6
- X-ray Diffraction in Crystallography 3
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- Computational Drug Discovery Methods 2
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- Nuclear Physics and Applications 1
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- Surface and Thin Film Phenomena 1
- Advanced Chemical Physics Studies 1
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- Electrochemical Analysis and Applications 1
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- Semiconductor materials and devices 1
- Co-authors
- Kristin A. PerssonMark AstaKyle ChardAlireza FaghaniniaSaurabh BajajMaxwell DyllaIan FosterQi Wang
- Journals
- npj Computational Materials (2 papers)Physical review. B. (1 paper)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- United StatesNorwayUnited Kingdom
In The Last Decade
Kyle Bystrom
6 papers receiving 741 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Materials Chemistry 654
- Computational Theory and Mathematics 127
- Metals and Alloys 19
- Catalysis 49
- Surfaces, Coatings and Films 25
Countries citing papers authored by Kyle Bystrom
This map shows the geographic impact of Kyle Bystrom'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 Bystrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Bystrom more than expected).
Fields of papers citing papers by Kyle Bystrom
This network shows the impact of papers produced by Kyle Bystrom. 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 Bystrom. The network helps show where Kyle Bystrom may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyle Bystrom, 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 | 5 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 20 | |
| 4 | 2024 | 23 | |
| 5 | 2023 | 32 | |
| 6 | Matminer: An open source toolkit for materials data miningbreakdown → | 2018 | 675 |
About Kyle Bystrom
Kyle Bystrom is a scholar working on Catalysis, Electrochemistry, Materials Chemistry, Computational Theory and Mathematics and Radiation, having authored 6 papers that have together received 760 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), X-ray Diffraction in Crystallography (3 papers), Computational Drug Discovery Methods (2 papers), Nuclear Physics and Applications (1 paper), Surface and Thin Film Phenomena (1 paper), Electrochemical Analysis and Applications (1 paper), Semiconductor materials and devices (1 paper) and Advanced Chemical Physics Studies (1 paper). The work is most often cited by research in Materials Chemistry (654 citations), Computational Theory and Mathematics (127 citations), Metals and Alloys (19 citations), Catalysis (49 citations) and Surfaces, Coatings and Films (25 citations). Kyle Bystrom has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Kristin A. Persson, Mark Asta, Kyle Chard, Alireza Faghaninia, Saurabh Bajaj, Maxwell Dylla, Ian Foster, Qi Wang, Jiming Chen and Joseph H. Montoya. Their work appears in journals such as npj Computational Materials, Physical review. B., Journal of Chemical Theory and Computation, The Journal of Physical Chemistry Letters 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.