Cyril Guyot

419 citations
20 papers · 297 · h-index 7

Impact in

Papers in

Cyril Guyot

19 papers receiving 290 citations

Peers

Cyril Guyot
Comparison fields: 5 of 25
  • Hardware and Architecture 104
  • Computer Networks and Communications 244
  • Computational Theory and Mathematics 50
  • Information Systems 47
  • Artificial Intelligence 66
Replace Trevor L. McDonell with:
Trevor L. McDonell Australia
Roman Pletka Switzerland
Eddy Z. Zhang United States
Congming Gao China
Anton Lokhmotov United Kingdom
Benjamin Lipshitz United States
Marco A. A. Sanvido United States
Keita Teranishi United States
Hiroki Honda Japan
Benoît Meister United States
Cyril Guyot relative to Trevor L. McDonell Australia Trevor L. McDonell's profile →
Citations per field
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Trevor L. McDonell · 1×
Citations per year

Countries citing papers authored by Cyril Guyot

Since Specialization
Citations

This map shows the geographic impact of Cyril Guyot'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 Cyril Guyot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cyril Guyot more than expected).

Fields of papers citing papers by Cyril Guyot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cyril Guyot. 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 Cyril Guyot. The network helps show where Cyril Guyot may publish in the future.

Co-authors

The 21 scholars most cited alongside Cyril Guyot, 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 Cyril Guyot Line = papers co-authored together Cyril Guyot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201085
2
Opening the chrysalis: on the real repair performance of MSR codes
201648
3 202345
4 201232
5 201330
6
ZEA, a data management approach for SMR
201617
7 20129
8
Priority {IO} Scheduling in the Cloud
20136
9 20156
10 20174
11 20153
12 20183
13 20193
14 20231
15 20231
16 20191
17 20151
18 20161
19 20241
20 20220

About Cyril Guyot

Cyril Guyot is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Atomic and Molecular Physics, and Optics, having authored 20 papers that have together received 297 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (12 papers), Caching and Content Delivery (5 papers), Parallel Computing and Optimization Techniques (3 papers), Cellular Automata and Applications (3 papers), Magnetic properties of thin films (3 papers), Distributed and Parallel Computing Systems (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Cloud Data Security Solutions (2 papers). The work is most often cited by research in Hardware and Architecture (104 citations), Computer Networks and Communications (244 citations), Computational Theory and Mathematics (50 citations), Information Systems (47 citations) and Artificial Intelligence (66 citations). Cyril Guyot has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Zvonimir Bandić, Dongwoo Kim, Yuval Cassuto, David Hall, Marco A. A. Sanvido, Robert Mateescu, Filip Blagojević, Lluís Pàmies-Juàrez, Adam Manzanares and Carlos Maltzahn. Their work appears in journals such as IEEE Transactions on Communications, ACM Transactions on Storage, IEEE Transactions on Information Forensics and Security, Journal of Media Literacy Education and Cryptologia.

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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