Justin Moore
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Information Systems top 1%
- Cloud Computing and Resource Management
Papers in
-
- Advanced Data Storage Technologies 3
- Software System Performance and Reliability 1
- Distributed and Parallel Computing Systems 1
-
- Cloud Computing and Resource Management 5
- Co-authors
- Parthasarathy Ranganathan (2 shared papers)Jeff Chase (2 shared papers)Ratnesh Sharma (1 shared paper)Jeffrey S. Chase (3 shared papers)David E. Irwin (1 shared paper)Laura Grit (1 shared paper)Sara Sprenkle (1 shared paper)Dianne V. Jewell (1 shared paper)
- Journals
- Physical Therapy (3 papers)USENIX Annual Technical Conference (1 paper)
- Partner nations
- United States
In The Last Decade
Justin Moore
8 papers receiving 829 citations
Justin Moore's Hit Papers
Peers
Comparison fields: 5 of 56
- Hardware and Architecture 339
- Information Systems 693
- Computer Networks and Communications 697
- Information Systems and Management 34
- Electrical and Electronic Engineering 131
Countries citing papers authored by Justin Moore
This map shows the geographic impact of Justin Moore'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 Justin Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Moore more than expected).
Fields of papers citing papers by Justin Moore
This network shows the impact of papers produced by Justin Moore. 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 Justin Moore. The network helps show where Justin Moore may publish in the future.
Co-authors
The 12 scholars most cited alongside Justin Moore, 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 | Making scheduling cool: temperature-aware workload placement in data centers Hit paper breakdown → | 2005 | 487 |
| 2 | 2004 | 189 | |
| 3 | 2006 | 159 | |
| 4 | 2012 | 33 | |
| 5 | A Sense of Place: Toward a Location-aware Information Plane for Data Centers | 2003 | 6 |
| 6 | 2016 | 4 | |
| 7 | Automated cost-aware data center management | 2006 | 3 |
| 8 | 2012 | 1 |
About Justin Moore
Justin Moore is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Economics and Econometrics and General Health Professions, having authored 8 papers that have together received 882 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Healthcare Policy and Management (3 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Data Storage Technologies (3 papers), Software System Performance and Reliability (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Patient Satisfaction in Healthcare (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Hardware and Architecture (339 citations), Information Systems (693 citations), Computer Networks and Communications (697 citations), Information Systems and Management (34 citations) and Electrical and Electronic Engineering (131 citations). Justin Moore has collaborated with scholars based in United States. Frequent co-authors include Parthasarathy Ranganathan, Jeff Chase, Ratnesh Sharma, Jeffrey S. Chase, David E. Irwin, Laura Grit, Sara Sprenkle, Dianne V. Jewell, Marc S. Goldstein and Keith I. Farkas. Their work appears in journals such as Physical Therapy 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.