Richard Mills
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- Parallel Computing and Optimization Techniques 4
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- Advanced Numerical Methods in Computational Mathematics 1
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- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 2
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- Scientific Computing and Data Management 3
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- Numerical Methods and Algorithms 1
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- Climate change and permafrost 1
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- Particle accelerators and beam dynamics 1
- Co-authors
- Matthew G. KnepleyJed BrownStefano ZampiniSatish BalayTodd MunsonBarry SmithMark F. AdamsAlp Dener
- Journals
- SIAM Journal on Scientific Computing (2 papers)IEEE Transactions on Parallel and Distributed Systems (1 paper)Parallel Computing (1 paper)
- Partner nations
- United StatesSaudi ArabiaSwitzerland
In The Last Decade
Richard Mills
10 papers receiving 91 citations
Peers
Comparison fields: 5 of 43
- Computational Mathematics 3
- Hardware and Architecture 23
- Computational Mechanics 25
- Computer Graphics and Computer-Aided Design 4
- Numerical Analysis 6
Countries citing papers authored by Richard Mills
This map shows the geographic impact of Richard 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 Richard Mills with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Mills more than expected).
Fields of papers citing papers by Richard Mills
This network shows the impact of papers produced by Richard 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 Richard Mills. The network helps show where Richard Mills may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 36 | |
| 7 | EarthInsights: Parallel Clustering of Large Earth Science Datasets on the Summit Supercomputer | 2018 | 1 |
| 8 | 2018 | 10 | |
| 9 | 2017 | 8 | |
| 10 | 2016 | 1 |
About Richard Mills
Richard Mills is a scholar working on Hardware and Architecture, Information Systems and Management and Computer Networks and Communications, having authored 10 papers that have together received 92 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (4 papers), Scientific Computing and Data Management (3 papers), Advanced Data Storage Technologies (2 papers), Numerical Methods and Algorithms (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper), Climate change and permafrost (1 paper) and Particle accelerators and beam dynamics (1 paper). The work is most often cited by research in Computational Mathematics (3 citations), Hardware and Architecture (23 citations) and Computational Mechanics (25 citations). Richard Mills has collaborated with scholars based in United States, Saudi Arabia and Switzerland. Frequent co-authors include Matthew G. Knepley, Jed Brown, Stefano Zampini, Satish Balay, Todd Munson, Barry Smith, Mark F. Adams, Alp Dener, Oana Marin and Scott Kruger. Their work appears in journals such as SIAM Journal on Scientific Computing, IEEE Transactions on Parallel and Distributed Systems and Parallel Computing.
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.