Scott F. Kaplan
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 15
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- Advanced Data Storage Technologies 13
- Distributed systems and fault tolerance 6
- Distributed and Parallel Computing Systems 3
- Optimization and Search Problems 3
- Caching and Content Delivery 3
- Information Systems top 5%
- Cloud Computing and Resource Management 3
- Artificial Intelligence top 10%
- Algorithms and Data Compression 2
- Co-authors
- Paul R. WilsonYannis SmaragdakisJ. Eliot B. MossEmery D. BergerTing YangMatthew HertzLyle A. McGeochMegan F. Cole
- Journals
- ACM SIGPLAN Notices (1 paper)ACM SIGMETRICS Performance Evaluation Review (2 papers)Performance Evaluation (1 paper)
- Partner nations
- United States
In The Last Decade
Scott F. Kaplan
17 papers receiving 549 citations
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 429
- Computer Networks and Communications 526
- Information Systems 184
- Artificial Intelligence 149
- Software 8
Countries citing papers authored by Scott F. Kaplan
This map shows the geographic impact of Scott F. Kaplan'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 Scott F. Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott F. Kaplan more than expected).
Fields of papers citing papers by Scott F. Kaplan
This network shows the impact of papers produced by Scott F. Kaplan. 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 Scott F. Kaplan. The network helps show where Scott F. Kaplan may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Scott F. Kaplan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 53 | |
| 2 | 2006 | 79 | |
| 3 | 2004 | 1 | |
| 4 | 2004 | 58 | |
| 5 | 2004 | 4 | |
| 6 | 2004 | 2 | |
| 7 | 2003 | 1 | |
| 8 | 2003 | 25 | |
| 9 | 2003 | 39 | |
| 10 | CKRM: Class-based Prioritized Resource Control in Linux | 2003 | 8 |
| 11 | 2002 | 3 | |
| 12 | 2002 | 29 | |
| 13 | The case for compressed caching in virtual memory systems | 1999 | 113 |
| 14 | 1999 | 19 | |
| 15 | 1999 | 27 | |
| 16 | 1999 | 2 | |
| 17 | 1999 | 104 | |
| 18 | Compressed caching and modern virtual memory simulation | 1999 | 23 |
About Scott F. Kaplan
Scott F. Kaplan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 18 papers that have together received 590 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (13 papers), Distributed systems and fault tolerance (6 papers), Distributed and Parallel Computing Systems (3 papers), Optimization and Search Problems (3 papers), Cloud Computing and Resource Management (3 papers), Caching and Content Delivery (3 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Hardware and Architecture (429 citations), Computer Networks and Communications (526 citations) and Information Systems (184 citations). Scott F. Kaplan has collaborated with scholars based in United States. Frequent co-authors include Paul R. Wilson, Yannis Smaragdakis, J. Eliot B. Moss, Emery D. Berger, Ting Yang, Matthew Hertz, Lyle A. McGeoch, Megan F. Cole, Tongping Liu and Donald S. Fussell. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGMETRICS Performance Evaluation Review and Performance Evaluation.
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.