Daniel Peek
Impact in
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- Advanced Data Storage Technologies
- Caching and Content Delivery
- Distributed systems and fault tolerance
- Software System Performance and Reliability
- Peer-to-Peer Network Technologies
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Parallel Computing and Optimization Techniques 3
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- Advanced Malware Detection Techniques 3
- Co-authors
- Jason FlinnRajesh NishtalaHerman LeeTony TungVenkateshwaran VenkataramaniDavid StaffordEdmund B. NightingalePeter M. Chen
- Journals
- ACM SIGPLAN Notices (1 paper)Computer (1 paper)Networked Systems Design and Implementation (1 paper)USENIX Annual Technical Conference (2 papers)Operating Systems Design and Implementation (2 papers)
- Partner nations
- United StatesIsraelIndia
In The Last Decade
Daniel Peek
10 papers receiving 713 citations
Hit Papers
Peers
Comparison fields: 5 of 25
- Computer Networks and Communications 683
- Hardware and Architecture 192
- Information Systems 415
- Software 21
- Signal Processing 56
Countries citing papers authored by Daniel Peek
This map shows the geographic impact of Daniel Peek'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 Daniel Peek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Peek more than expected).
Fields of papers citing papers by Daniel Peek
This network shows the impact of papers produced by Daniel Peek. 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 Daniel Peek. The network helps show where Daniel Peek may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Daniel Peek, 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 | 2014 | 122 | |
| 2 | Scaling Memcache at Facebook Hit paper breakdown → | 2013 | 435 |
| 3 | 2010 | 1 | |
| 4 | 2008 | 9 | |
| 5 | 2008 | 7 | |
| 6 | 2008 | 107 | |
| 7 | Sprockets: safe extensions for distributed file systems | 2007 | 4 |
| 8 | 2007 | 2 | |
| 9 | 2006 | 47 | |
| 10 | Drive-Thru: fast, accurate evaluation of storage power management | 2005 | 9 |
About Daniel Peek
Daniel Peek is a scholar working on Hardware and Architecture, Signal Processing, Computer Networks and Communications, Information Systems and Management and Artificial Intelligence, having authored 10 papers that have together received 743 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (4 papers), Peer-to-Peer Network Technologies (3 papers), Parallel Computing and Optimization Techniques (3 papers), Caching and Content Delivery (3 papers), Security and Verification in Computing (3 papers), Advanced Malware Detection Techniques (3 papers), Radiation Effects in Electronics (2 papers) and Personal Information Management and User Behavior (1 paper). The work is most often cited by research in Computer Networks and Communications (683 citations), Hardware and Architecture (192 citations), Information Systems (415 citations), Software (21 citations) and Signal Processing (56 citations). Daniel Peek has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Jason Flinn, Rajesh Nishtala, Herman Lee, Tony Tung, Venkateshwaran Venkataramani, David Stafford, Edmund B. Nightingale, Peter M. Chen, Thomas F. Wenisch and David Meisner. Their work appears in journals such as ACM SIGPLAN Notices, Computer, Networked Systems Design and Implementation, USENIX Annual Technical Conference and Operating Systems Design and Implementation.
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.