J. Risson

454 citations
6 papers · 233 · h-index 5

Impact in

    • Peer-to-Peer Network Technologies
    • Caching and Content Delivery
    • Advanced Data Storage Technologies
    • Opportunistic and Delay-Tolerant Networks
    • Distributed and Parallel Computing Systems
    • Advanced Database Systems and Queries
    • Data Management and Algorithms

Papers in

    • Caching and Content Delivery 5
    • Peer-to-Peer Network Technologies 5
    • Advanced Data Storage Technologies 3
    • Distributed systems and fault tolerance 2
    • Distributed and Parallel Computing Systems 1
    • Network Traffic and Congestion Control 1
    • Data Management and Algorithms 1

J. Risson

6 papers receiving 206 citations

Peers

J. Risson
Comparison fields: 5 of 24
  • Computer Networks and Communications 222
  • Signal Processing 26
  • Information Systems 36
  • Statistical and Nonlinear Physics 11
  • Hardware and Architecture 5
Replace Francisco Matias Cuenca-Acuna with:
Francisco Matias Cuenca-Acuna United States
Prakash Linga United States
Luc Onana Alima Belgium
S. Sahu United States
Alexander D. Kent United States
Yingwu Zhu United States
Michel Riguidel France
James Robertson United States
Chris Lesniewski-Laas United States
Michal Szymaniak Netherlands
J. Risson relative to Francisco Matias Cuenca-Acuna United States Francisco Matias Cuenca-Acuna's profile →
Citations per field
00.5×
Francisco Matias Cuenca-Acuna · 1×
Citations per year

Countries citing papers authored by J. Risson

Since Specialization
Citations

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

Fields of papers citing papers by J. Risson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside J. Risson, 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. Risson Line = papers co-authored together J. Risson links everyone, so they are left out of the graph.

All Works

About J. Risson

J. Risson is a scholar working on Computer Networks and Communications, Signal Processing, Infectious Diseases, Organic Chemistry and Surgery, having authored 6 papers that have together received 233 indexed citations. Recurring topics across this work include Caching and Content Delivery (5 papers), Peer-to-Peer Network Technologies (5 papers), Advanced Data Storage Technologies (3 papers), Distributed systems and fault tolerance (2 papers), Distributed and Parallel Computing Systems (1 paper), Data Management and Algorithms (1 paper) and Network Traffic and Congestion Control (1 paper). The work is most often cited by research in Computer Networks and Communications (222 citations), Signal Processing (26 citations), Information Systems (36 citations), Statistical and Nonlinear Physics (11 citations) and Hardware and Architecture (5 citations). J. Risson has collaborated with scholars based in Australia. Frequent co-authors include Tim Moors, Aaron Harwood, Ken Robinson and Sameer Qazi. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Computer Networks and Minerva Access (University of Melbourne).

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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