Garth R. Goodson

27 papers receiving 1.7k citations

Peers

Garth R. Goodson
Comparison fields: 5 of 40
  • Computer Networks and Communications 1.8k
  • Information Systems 844
  • Artificial Intelligence 411
  • Hardware and Architecture 324
  • Electrical and Electronic Engineering 59
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Citations per year

Countries citing papers authored by Garth R. Goodson

Since Specialization
Citations

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

Fields of papers citing papers by Garth R. Goodson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garth R. Goodson. 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 Garth R. Goodson. The network helps show where Garth R. Goodson may publish in the future.

Co-authorship network of co-authors of Garth R. Goodson

This figure shows the co-authorship network connecting the top 25 collaborators of Garth R. Goodson. A scholar is included among the top collaborators of Garth R. Goodson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Garth R. Goodson. Garth R. Goodson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 0
6 0
7 0
8 0
9 202
10
Design Tradeoffs in a Flash Translation Layer
5
11
Fido: fast inter-virtual-machine communication for enterprise appliances
55
12
An analysis of data corruption in the storage stack
14
13
Measurement and analysis of large-scale network file system workloads
175
14
Parity lost and parity regained
57
15
The Safety and Liveness Properties of a Protocol Family for Versatile Survivable Storage Infrastructures
8
16 127
17
Metadata Efficiency in Versioning File Systems
112
18
A Protocol Family for Versatile Survivable Storage Infrastructures
7
19 36
20 130

About Garth R. Goodson

Garth R. Goodson is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (25 papers), Distributed systems and fault tolerance (17 papers) and Caching and Content Delivery (9 papers). The work is most often cited by research in Computer Networks and Communications (1.8k citations), Hardware and Architecture (324 citations) and Information Systems (844 citations). Garth R. Goodson has collaborated with scholars based in United States and Canada. Frequent co-authors include Gregory R. Ganger, Lakshmi N. Bairavasundaram, Shankar Pasupathy, Jay J. Wylie, Kiran Srinivasan, Jiří Schindler, John D. Strunk, Craig A. N. Soules, Michael K. Reiter and Michael Abd-El-Malek. Their work appears in journals such as ACM SIGOPS Operating Systems Review, ACM SIGMETRICS Performance Evaluation Review and ACM Transactions on Storage.

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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