Kimberly Keeton
- Computer Networks and Communications top 0.5%
- Hardware and Architecture top 0.5%
- Information Systems top 0.5%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Timothy RoscoeDavid A. PattersonJohn WilkesR. ThomasChristoforos KozyrakisRichard FrommKatherine YelickThomas E. Anderson
- Topics
- Advanced Data Storage Technologies (51 papers)Parallel Computing and Optimization Techniques (26 papers)Cloud Computing and Resource Management (25 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Kimberly Keeton
70 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Networks and Communications 2.6k
- Hardware and Architecture 1.5k
- Information Systems 1000
- Electrical and Electronic Engineering 580
- Artificial Intelligence 437
Countries citing papers authored by Kimberly Keeton
This map shows the geographic impact of Kimberly Keeton'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 Kimberly Keeton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly Keeton more than expected).
Fields of papers citing papers by Kimberly Keeton
This network shows the impact of papers produced by Kimberly Keeton. 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 Kimberly Keeton. The network helps show where Kimberly Keeton may publish in the future.
Co-authorship network of co-authors of Kimberly Keeton
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Keeton. A scholar is included among the top collaborators of Kimberly Keeton 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 Kimberly Keeton. Kimberly Keeton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 32 | |
| 3 | 11 | |
| 4 | Beyond processor-centric operating systems | 45 |
| 5 | 5 | |
| 6 | 24 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | Why traditional storage systems don't help us save stuff forever | 23 |
| 11 | 219 | |
| 12 | Designing for Disasters | 122 |
| 13 | 23 | |
| 14 | 8 | |
| 15 | Hippodrome: running circles around storage administration | 181 |
| 16 | 63 | |
| 17 | Computer architecture support for database applications | 7 |
| 18 | 186 | |
| 19 | 223 | |
| 20 | 45 |
About Kimberly Keeton
Kimberly Keeton is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 72 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (51 papers), Parallel Computing and Optimization Techniques (26 papers) and Cloud Computing and Resource Management (25 papers). The work is most often cited by research in Hardware and Architecture (1.5k citations), Computer Networks and Communications (2.6k citations) and Information Systems (1000 citations). Kimberly Keeton has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Timothy Roscoe, David A. Patterson, John Wilkes, David A. Patterson, R. Thomas, Christoforos Kozyrakis, Richard Fromm, Katherine Yelick, Thomas E. Anderson and Neal Cardwell. Their work appears in journals such as Communications of the ACM, Computer and Proceedings of the VLDB Endowment.
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.