J.-F. Paris

2.5k citations
138 papers · 1.8k · h-index 21

Impact in

Papers in

    • Distributed systems and fault tolerance 54
    • Advanced Data Storage Technologies 48
    • Peer-to-Peer Network Technologies 35
    • Caching and Content Delivery 32
    • Age of Information Optimization 17
    • Network Traffic and Congestion Control 15
    • Multimedia Communication and Technology 23

J.-F. Paris

124 papers receiving 1.7k citations

Peers

J.-F. Paris
Comparison fields: 5 of 87
  • Computer Networks and Communications 1.5k
  • Hardware and Architecture 200
  • Computer Vision and Pattern Recognition 277
  • Signal Processing 142
  • Sociology and Political Science 493
Replace Sasikanth Avancha with:
Sasikanth Avancha United States
Magda El Zarki United States
S. V. Raghavan India
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Jonathan T. Moore United States
John L. Larson United States
Seppo Virtanen Finland
Daniel Alexander Ford United States
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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 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998134
2
Voting with Witnesses: A Constistency Scheme for Replicated Files.
1986132
3 2002118
4 200296
5 200792
6 200383
7 201161
8 199961
9 200658
10 201057
11 200352
12 201740
13 200236
14 200235
15 200326
16 201025
17 200223
18 200522
19 200122
20
Block-Level Consistency of Replicated Files.
198721

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 138 papers that have together received 1.8k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (54 papers), Advanced Data Storage Technologies (48 papers), Peer-to-Peer Network Technologies (35 papers), Caching and Content Delivery (32 papers), Multimedia Communication and Technology (23 papers), Age of Information Optimization (17 papers), Image and Video Quality Assessment (15 papers) and Network Traffic and Congestion Control (15 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Hardware and Architecture (200 citations), Computer Vision and Pattern Recognition (277 citations), Signal Processing (142 citations) and Sociology and Political Science (493 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, Jinsuk Baek, Patrick E. Mantey, Randal Burns, Deepavali Bhagwat, K.T. Pollack and T.J.E. Schwarz. Their work appears in journals such as Performance Evaluation, ETRI Journal, Information Sciences, IEEE Transactions on Magnetics and Lecture notes in computer science.

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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