Ryan Chard

2.0k citations
81 papers · 1.0k · h-index 18

Impact in

Papers in

Ryan Chard

71 papers receiving 997 citations

Peers

Ryan Chard
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
Replace Jim Pruyne with:
Jim Pruyne United States
Ming Mao United States
Jens Dietrich New Zealand
Ian Dunlop United Kingdom
Christian D. Jensen Denmark
Mingfeng Huang Taiwan
A. K. Ghosh India
Vipul Kashyap United States
Larisa Soldatova United Kingdom
Tehmina Amjad Pakistan
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Citations per field
00.5×3.6×
Jim Pruyne · 1×
Citations per year

Countries citing papers authored by Ryan Chard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ryan Chard Line = papers co-authored together Ryan Chard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014146
2 2019124
3 202152
4 201537
5 202336
6 202236
7 201532
8 201728
9 202227
10 201726
11 202225
12 202322
13 201520
14 201720
15 202019
16 202119
17 201818
18 202217
19 202216
20 202414

About Ryan Chard

Ryan Chard is a scholar working on Information Systems and Management, Computer Networks and Communications, Information Systems, Artificial Intelligence and Management Science and Operations Research, 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 Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Information Systems and Management (277 citations), Computer Networks and Communications (440 citations), Information Systems (416 citations), Structural Biology (20 citations) and Management Science and Operations Research (85 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, Łukasz Łaciński and Steven Tuecke. 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.

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