William Arcand
Impact in
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
- Advanced Database Systems and Queries
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- Parallel Computing and Optimization Techniques
Papers in
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- Distributed and Parallel Computing Systems 7
- Advanced Data Storage Technologies 5
- Peer-to-Peer Network Technologies 2
- Caching and Content Delivery 1
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- Cloud Computing and Resource Management 4
- Co-authors
- Jeremy Kepner (10 shared papers)Chansup Byun (9 shared papers)Peter Michaleas (9 shared papers)Matthew Hubbell (10 shared papers)Albert Reuther (10 shared papers)Andrew Prout (3 shared papers)Bill Bergeron (7 shared papers)Antonio De Rosa (6 shared papers)
- Partner nations
- United States
In The Last Decade
William Arcand
7 papers receiving 118 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 82
- Hardware and Architecture 24
- Information Systems 64
- Information Systems and Management 17
- Computational Mathematics 1
Countries citing papers authored by William Arcand
This map shows the geographic impact of William Arcand'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 William Arcand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Arcand more than expected).
Fields of papers citing papers by William Arcand
This network shows the impact of papers produced by William Arcand. 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 William Arcand. The network helps show where William Arcand may publish in the future.
Co-authors
The 25 scholars most cited alongside William Arcand, 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 | 2017 | 61 | |
| 2 | 2012 | 36 | |
| 3 | 2012 | 15 | |
| 4 | 2013 | 9 | |
| 5 | 2018 | 4 | |
| 6 | 2007 | 2 | |
| 7 | 2012 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 0 |
About William Arcand
William Arcand is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 10 papers that have together received 129 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (5 papers), Cloud Computing and Resource Management (4 papers), Peer-to-Peer Network Technologies (2 papers), Graph Theory and Algorithms (1 paper), Image Processing and 3D Reconstruction (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Computer Networks and Communications (82 citations), Hardware and Architecture (24 citations), Information Systems (64 citations), Information Systems and Management (17 citations) and Computational Mathematics (1 citation). William Arcand has collaborated with scholars based in United States. Frequent co-authors include Jeremy Kepner, Chansup Byun, Peter Michaleas, Matthew Hubbell, Albert Reuther, Andrew Prout, Bill Bergeron, Antonio De Rosa, David Bestor and Michael Jones. Their work appears in journals such as Journal of Parallel and Distributed 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.