Kyle Chard
- Information Systems and Management top 0.5%
- Scientific Computing and Data Management 96
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- Distributed and Parallel Computing Systems 68
- Advanced Data Storage Technologies 48
- Peer-to-Peer Network Technologies 14
- Information Systems top 0.5%
- Cloud Computing and Resource Management 45
- Research Data Management Practices 19
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- Data Quality and Management 17
- Materials Chemistry top 5%
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- Parallel Computing and Optimization Techniques 14
- Co-authors
- Ian FosterKris BubendorferSteven TueckeOmer RanaRyan ChardSimon CatonBen BlaiszikRachana Ananthakrishnan
- Journals
- IEEE Transactions on Parallel and Distributed Systems (7 papers)Future Generation Computer Systems (7 papers)IEEE Transactions on Cloud Computing (3 papers)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Kyle Chard
169 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Information Systems and Management 799
- Computer Networks and Communications 1.2k
- Information Systems 1.1k
- Management Science and Operations Research 250
- Materials Chemistry 925
Countries citing papers authored by Kyle Chard
This map shows the geographic impact of Kyle 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 Kyle Chard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Chard more than expected).
Fields of papers citing papers by Kyle Chard
This network shows the impact of papers produced by Kyle 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 Kyle Chard. The network helps show where Kyle Chard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyle 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 27 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2019 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 23 | |
| 20 | 2019 | 22 |
About Kyle Chard
Kyle Chard is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems, having authored 185 papers that have together received 3.3k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (96 papers), Distributed and Parallel Computing Systems (68 papers), Advanced Data Storage Technologies (48 papers), Cloud Computing and Resource Management (45 papers), Research Data Management Practices (19 papers), Data Quality and Management (17 papers), Peer-to-Peer Network Technologies (14 papers) and Parallel Computing and Optimization Techniques (14 papers). The work is most often cited by research in Information Systems and Management (799 citations), Computer Networks and Communications (1.2k citations) and Information Systems (1.1k citations). Kyle Chard has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Ian Foster, Kris Bubendorfer, Steven Tuecke, Omer Rana, Ryan Chard, Simon Caton, Ben Blaiszik, Rachana Ananthakrishnan, Logan Ward and Jim Pruyne. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Future Generation Computer Systems, IEEE Transactions on Cloud Computing, IEEE Cloud Computing and IEEE Transactions on Services 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.