Ryan Johnson

2.0k citations
50 papers · 1.3k · h-index 19

Impact in

    • Parallel Computing and Optimization Techniques
    • Advanced Data Storage Technologies
    • Distributed systems and fault tolerance
    • Advanced Database Systems and Queries
    • Distributed and Parallel Computing Systems
    • Caching and Content Delivery

Papers in

Ryan Johnson

48 papers receiving 1.2k citations

Peers

Ryan Johnson
Comparison fields: 5 of 49
  • Hardware and Architecture 471
  • Computer Networks and Communications 1.2k
  • Information Systems 636
  • Signal Processing 220
  • Software 45
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Citations per field
00.5×9.6×
Paul McJones · 1×
Citations per year

Countries citing papers authored by Ryan Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009163
2 2014156
3 2010132
4 201686
5 201086
6 200862
7
Here are my Data Files. Here are my Queries. Where are my Results
201159
8 201152
9 201150
10 200949
11 201242
12 201130
13 200927
14 201325
15 201423
16 200923
17
To Share Or Not To Share
200721
18 201119
19 201319
20 201717

About Ryan Johnson

Ryan Johnson is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Hardware and Architecture and Software, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (22 papers), Distributed systems and fault tolerance (19 papers), Cloud Computing and Resource Management (12 papers), Parallel Computing and Optimization Techniques (10 papers), Advanced Malware Detection Techniques (10 papers), Software Testing and Debugging Techniques (8 papers), Advanced Database Systems and Queries (8 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Hardware and Architecture (471 citations), Computer Networks and Communications (1.2k citations), Information Systems (636 citations), Signal Processing (220 citations) and Software (45 citations). Ryan Johnson has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Ippokratis Pandis, Anastasia Ailamaki, Tianzheng Wang, Nikos Hardavellas, Manos Athanassoulis, Radu Stoica, Babak Falsafi, Angelos Stavrou, Pınar Tözün and Richard Sidle. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, ACM SIGMOD Record, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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