Geoff Kuenning

52 papers receiving 1.3k citations

Peers

Geoff Kuenning
Comparison fields: 5 of 52
  • Computer Networks and Communications 1.3k
  • Information Systems 604
  • Hardware and Architecture 267
  • Artificial Intelligence 162
  • Electrical and Electronic Engineering 146
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Citations per year

Countries citing papers authored by Geoff Kuenning

Since Specialization
Citations

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

Fields of papers citing papers by Geoff Kuenning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoff Kuenning

This figure shows the co-authorship network connecting the top 25 collaborators of Geoff Kuenning. A scholar is included among the top collaborators of Geoff Kuenning 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 Geoff Kuenning. Geoff Kuenning 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 1
3 1
4 2
5
Carver: Finding Important Parameters for Storage System Tuning.
8
6
Graphs are not enough: using interactive visual analytics in storage research
3
7 28
8
Using hints to improve inline block-layer deduplication
19
9 9
10 5
11
Improving I/O performance using virtual disk introspection
13
12
Improving the security of Android inter-component communication
4
13 29
14
Virtual Machine Workloads: The Case for New {NAS} Benchmarks
15
15 32
16
Generating realistic datasets for deduplication analysis
62
17
WOWCS scribe notes
0
18
Anonymization Techniques for URLs and Filenames
4
19
Conquest: Better Performance Through a Disk/Persistent-RAM Hybrid File System
70
20
An analysis of trace data for predictive file caching in mobile computing
40

About Geoff Kuenning

Geoff Kuenning is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Science Applications, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (34 papers), Caching and Content Delivery (22 papers) and Distributed systems and fault tolerance (10 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Hardware and Architecture (267 citations) and Information Systems (604 citations). Geoff Kuenning has collaborated with scholars based in United States, Portugal and China. Frequent co-authors include Peter Reiher, Gerald J. Popek, Alexey Rudenko, An-I Andy Wang, Erez Zadok, Vasily Tarasov, Jin-yuan Qian, Gia Nhu Nguyen, Dean Hildebrand and Philip Shilane. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Personal and Ubiquitous Computing and Mobile Networks and Applications.

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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