Ryan Chard
Impact in
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- Scientific Computing and Data Management
- Information Systems top 1%
- Cloud Computing and Resource Management
Papers in
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- Scientific Computing and Data Management 32
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- Cloud Computing and Resource Management 29
- Research Data Management Practices 10
- Co-authors
- Ian T. Foster (66 shared papers)Kyle Chard (61 shared papers)Kris Bubendorfer (8 shared papers)Ben J. Blaiszik (15 shared papers)Yadu Babuji (20 shared papers)Zhuozhao Li (12 shared papers)Logan T. Ward (11 shared papers)Anna Elizabeth Woodard (7 shared papers)
- Journals
- Future Generation Computer Systems (4 papers)The International Journal of High Performance Computing Applications (2 papers)Journal of Parallel and Distributed Computing (2 papers)MRS Communications (1 paper)IEEE Cloud Computing (1 paper)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Ryan Chard
82 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Information Systems and Management 251
- Information Systems 579
- Computer Networks and Communications 310
- Hardware and Architecture 79
- Radiation 43
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-authors
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
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 170 | |
| 2 | 2020 | 150 | |
| 3 | 2019 | 147 | |
| 4 | 2021 | 89 | |
| 5 | 2021 | 54 | |
| 6 | 2019 | 51 | |
| 7 | 2023 | 46 | |
| 8 | 2021 | 40 | |
| 9 | 2015 | 39 | |
| 10 | 2022 | 38 | |
| 11 | 2015 | 37 | |
| 12 | 2017 | 32 | |
| 13 | 2022 | 31 | |
| 14 | 2017 | 27 | |
| 15 | 2023 | 26 | |
| 16 | 2015 | 24 | |
| 17 | 2017 | 22 | |
| 18 | 2018 | 22 | |
| 19 | 2020 | 22 | |
| 20 | 2021 | 21 |
About Ryan Chard
Ryan Chard is a scholar working on Information Systems and Management, Information Systems, Computer Networks and Communications, Hardware and Architecture and Radiation, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (32 papers), Cloud Computing and Resource Management (29 papers), Distributed and Parallel Computing Systems (21 papers), Research Data Management Practices (10 papers), Privacy-Preserving Technologies in Data (6 papers), Advanced X-ray Imaging Techniques (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Information Systems and Management (251 citations), Information Systems (579 citations), Computer Networks and Communications (310 citations), Hardware and Architecture (79 citations) and Radiation (43 citations). Ryan Chard has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Ian T. Foster, Kyle Chard, Kris Bubendorfer, Ben J. Blaiszik, Yadu Babuji, Zhuozhao Li, Logan T. Ward, Anna Elizabeth Woodard, Tyler J. Skluzacek and Ravi Madduri. Their work appears in journals such as Future Generation Computer Systems, The International Journal of High Performance Computing Applications, Journal of Parallel and Distributed Computing, MRS Communications and IEEE Cloud 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.