Ryan Chard
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- Scientific Computing and Data Management 47
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- Distributed and Parallel Computing Systems 32
- Advanced Data Storage Technologies 24
- Information Systems top 2%
- Cloud Computing and Resource Management 15
- Research Data Management Practices 8
- Structural Biology top 10%
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- Data Quality and Management 6
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- Privacy-Preserving Technologies in Data 10
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- Medical Imaging Techniques and Applications 5
- Co-authors
- Kyle ChardIan FosterKris BubendorferBen BlaiszikLogan WardRavi MadduriMarcus SchwartingYadu Babuji
- Journals
- Future Generation Computer Systems (4 papers)Journal of Parallel and Distributed Computing (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Ryan Chard
71 papers receiving 997 citations
Peers
Comparison fields: 5 of 123
- Information Systems and Management 277
- Computer Networks and Communications 440
- Information Systems 416
- Structural Biology 20
- Management Science and Operations Research 85
Countries citing papers authored by Ryan Chard
This map shows the geographic impact of Ryan Chard'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 Ryan Chard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Chard more than expected).
Fields of papers citing papers by Ryan Chard
This network shows the impact of papers produced by Ryan Chard. 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 Ryan Chard. The network helps show where Ryan Chard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ryan Chard, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 14 | |
| 9 | 2023 | 36 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 22 | |
| 14 | 2023 | 10 | |
| 15 | 2022 | 27 | |
| 16 | 2022 | 25 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 36 | |
| 19 | 2021 | 52 | |
| 20 | 2019 | 8 |
About Ryan Chard
Ryan Chard is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (47 papers), Distributed and Parallel Computing Systems (32 papers), Advanced Data Storage Technologies (24 papers), Cloud Computing and Resource Management (15 papers), Privacy-Preserving Technologies in Data (10 papers), Research Data Management Practices (8 papers), Data Quality and Management (6 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Information Systems and Management (277 citations), Computer Networks and Communications (440 citations) and Information Systems (416 citations). Ryan Chard has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Kyle Chard, Ian Foster, Kris Bubendorfer, Ben Blaiszik, Logan Ward, Ravi Madduri, Marcus Schwarting, Yadu Babuji, Steven Tuecke and Łukasz Łaciński. Their work appears in journals such as Future Generation Computer Systems, Journal of Parallel and Distributed Computing, Nature Communications, The International Journal of High Performance Computing Applications and Computing in Science & Engineering.
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.