Rob Gardner
Impact in
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- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Advanced Data Storage Technologies
- Software-Defined Networks and 5G
- Caching and Content Delivery
- Information Systems top 1%
- Cloud Computing and Resource Management
Papers in
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- Software System Performance and Reliability 2
- Distributed and Parallel Computing Systems 2
- Peer-to-Peer Network Technologies 2
- Advanced Data Storage Technologies 2
- Software-Defined Networks and 5G 1
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- Cloud Computing and Resource Management 4
- Co-authors
- Ludmila Cherkasova (2 shared papers)Chris Hyser (2 shared papers)Brian J. Watson (2 shared papers)Diwaker Gupta (1 shared paper)Frank Würthwein (1 shared paper)Alan Blatecky (1 shared paper)Rob Quick (1 shared paper)Ian Foster (1 shared paper)
- Journals
- Journal of Physics Conference Series (1 paper)USENIX Annual Technical Conference (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Rob Gardner
6 papers receiving 932 citations
Rob Gardner's Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Networks and Communications 681
- Information Systems 557
- Hardware and Architecture 147
- Information Systems and Management 125
- Nuclear and High Energy Physics 60
Countries citing papers authored by Rob Gardner
This map shows the geographic impact of Rob Gardner'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 Rob Gardner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Gardner more than expected).
Fields of papers citing papers by Rob Gardner
This network shows the impact of papers produced by Rob Gardner. 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 Rob Gardner. The network helps show where Rob Gardner may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob Gardner, 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 | The open science grid Hit paper breakdown → | 2007 | 451 |
| 2 | Measuring CPU overhead for I/O processing in the Xen virtual machine monitor | 2005 | 205 |
| 3 | Autonomic Virtual Machine Placement in the Data Center | 2008 | 110 |
| 4 | 2008 | 103 | |
| 5 | XenMon: QoS Monitoring and Performance Profiling Tool | 2005 | 98 |
| 6 | An International Virtual-Data Grid Laboratory for Data Intensive Science | 2001 | 14 |
About Rob Gardner
Rob Gardner is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Hardware and Architecture and Infectious Diseases, having authored 6 papers that have together received 981 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), Scientific Computing and Data Management (2 papers), Software System Performance and Reliability (2 papers), Distributed and Parallel Computing Systems (2 papers), Peer-to-Peer Network Technologies (2 papers), Advanced Data Storage Technologies (2 papers), Software-Defined Networks and 5G (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (681 citations), Information Systems (557 citations), Hardware and Architecture (147 citations), Information Systems and Management (125 citations) and Nuclear and High Energy Physics (60 citations). Rob Gardner has collaborated with scholars based in United States and Germany. Frequent co-authors include Ludmila Cherkasova, Chris Hyser, Brian J. Watson, Diwaker Gupta, Frank Würthwein, Alan Blatecky, Rob Quick, Ian Foster, R. Pordes and Miron Livny. Their work appears in journals such as Journal of Physics Conference Series and USENIX Annual Technical Conference.
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.