J.-F. Paris

2.5k citations
129 papers · 1.6k · h-index 19

Impact in

Papers in

    • Distributed systems and fault tolerance 49
    • Advanced Data Storage Technologies 46
    • Peer-to-Peer Network Technologies 34
    • Caching and Content Delivery 32
    • Age of Information Optimization 15
    • Network Traffic and Congestion Control 14
    • Multimedia Communication and Technology 23

J.-F. Paris

116 papers receiving 1.5k citations

Peers

J.-F. Paris
Comparison fields: 5 of 86
  • Computer Networks and Communications 1.4k
  • Hardware and Architecture 183
  • Computer Vision and Pattern Recognition 254
  • Signal Processing 125
  • Sociology and Political Science 445
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Citations per field
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Citations per year

Countries citing papers authored by J.-F. Paris

Since Specialization
Citations

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

Fields of papers citing papers by J.-F. Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-F. Paris. 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 J.-F. Paris. The network helps show where J.-F. Paris may publish in the future.

Co-authors

The 25 scholars most cited alongside J.-F. Paris, 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 J.-F. Paris Line = papers co-authored together J.-F. Paris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998126
2
Voting with Witnesses: A Constistency Scheme for Replicated Files.
1986119
3 2002108
4 200291
5 200784
6 200377
7 201159
8 199959
9 201057
10 200652
11 200349
12 201738
13 200235
14 200231
15 200322
16 200222
17 201021
18
Block-Level Consistency of Replicated Files.
198720
19
On Improving the Availability of Replicated Files
198720
20 200218

About J.-F. Paris

J.-F. Paris is a scholar working on Computer Networks and Communications, Sociology and Political Science, Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 129 papers that have together received 1.6k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (49 papers), Advanced Data Storage Technologies (46 papers), Peer-to-Peer Network Technologies (34 papers), Caching and Content Delivery (32 papers), Multimedia Communication and Technology (23 papers), Image and Video Quality Assessment (15 papers), Age of Information Optimization (15 papers) and Network Traffic and Congestion Control (14 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Hardware and Architecture (183 citations), Computer Vision and Pattern Recognition (254 citations), Signal Processing (125 citations) and Sociology and Political Science (445 citations). J.-F. Paris has collaborated with scholars based in United States, France and Uruguay. Frequent co-authors include Darrell D. E. Long, Ahmed Amer, Ethan L. Miller, Thomas Schwarz, Patrick E. Mantey, Jinsuk Baek, Randal Burns, Jo Holliday, Deepavali Bhagwat and T.J.E. Schwarz. Their work appears in journals such as Performance Evaluation, ETRI Journal, Information Sciences, IEEE Transactions on Magnetics and La Revue de Médecine Interne.

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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