William Arcand

885 citations
37 papers · 503 · h-index 10

Impact in

Papers in

William Arcand

31 papers receiving 444 citations

Peers

William Arcand
Comparison fields: 5 of 89
  • Computer Networks and Communications 259
  • Hardware and Architecture 76
  • Information Systems 148
  • Information Systems and Management 40
  • Artificial Intelligence 115
Replace David Bestor with:
David Bestor United States
Matthew Hubbell United States
Charles Yee United States
Bill Bergeron United States
Peter Michaleas United States
Antonio De Rosa United States
Lauren Milechin United States
Antonio Rosa United States
Daehoon Kim South Korea
K. Erciyes Türkiye
William Arcand relative to David Bestor United States David Bestor's profile →
Citations per field
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Citations per year

Countries citing papers authored by William Arcand

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018149
2 201777
3 201258
4 202228
5 202121
6 201220
7 201319
8 201614
9 201513
10 202110
11 20189
12 20228
13 20177
14 20217
15 20206
16 20196
17 20226
18 20165
19 20124
20 20184

About William Arcand

William Arcand is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 37 papers that have together received 503 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (18 papers), Advanced Data Storage Technologies (13 papers), Cloud Computing and Resource Management (13 papers), Parallel Computing and Optimization Techniques (11 papers), Network Security and Intrusion Detection (6 papers), Complex Network Analysis Techniques (5 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (259 citations), Hardware and Architecture (76 citations), Information Systems (148 citations), Information Systems and Management (40 citations) and Artificial Intelligence (115 citations). William Arcand has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Albert Reuther, Jeremy Kepner, Peter Michaleas, Chansup Byun, Matthew Hubbell, Bill Bergeron, David Bestor, Andrew J. Prout, Michael Jones and Charles Yee. Their work appears in journals such as Journal of Parallel and Distributed Computing, Lecture notes in computer science and arXiv (Cornell University).

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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