John McGee
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Distributed and Parallel Computing Systems 4
- Opportunistic and Delay-Tolerant Networks 1
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- Scientific Computing and Data Management 3
- Co-authors
- K. Blackburn (2 shared papers)R. Pordes (2 shared papers)Miron Livny (2 shared papers)Doug Olson (2 shared papers)Alain Roy (2 shared papers)Bill Kramer (1 shared paper)Paul Avery (1 shared paper)Don Petravick (1 shared paper)
- Journals
- Geoscientific model development (1 paper)Informatics (1 paper)Journal of Grid Computing (1 paper)Journal of Physics Conference Series (1 paper)Procedia Computer Science (1 paper)
- Partner nations
- United StatesIrelandSpain
In The Last Decade
John McGee
5 papers receiving 542 citations
John McGee's Hit Papers
Peers
Comparison fields: 5 of 104
- Information Systems and Management 151
- Computer Networks and Communications 223
- Hardware and Architecture 38
- Nuclear and High Energy Physics 62
- Information Systems 96
Countries citing papers authored by John McGee
This map shows the geographic impact of John McGee'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 John McGee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John McGee more than expected).
Fields of papers citing papers by John McGee
This network shows the impact of papers produced by John McGee. 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 John McGee. The network helps show where John McGee may publish in the future.
Co-authors
The 25 scholars most cited alongside John McGee, 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 | 467 |
| 2 | 2012 | 45 | |
| 3 | 2010 | 39 | |
| 4 | 2015 | 5 | |
| 5 | 2024 | 1 |
About John McGee
John McGee is a scholar working on Computer Networks and Communications, Information Systems and Management, Atmospheric Science, Information Systems and Health, Toxicology and Mutagenesis, having authored 5 papers that have together received 557 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (4 papers), Scientific Computing and Data Management (3 papers), Research Data Management Practices (1 paper), Atmospheric chemistry and aerosols (1 paper), Tropical and Extratropical Cyclones Research (1 paper), Air Quality and Health Impacts (1 paper), Air Quality Monitoring and Forecasting (1 paper) and Opportunistic and Delay-Tolerant Networks (1 paper). The work is most often cited by research in Information Systems and Management (151 citations), Computer Networks and Communications (223 citations), Hardware and Architecture (38 citations), Nuclear and High Energy Physics (62 citations) and Information Systems (96 citations). John McGee has collaborated with scholars based in United States, Ireland and Spain. Frequent co-authors include K. Blackburn, R. Pordes, Miron Livny, Doug Olson, Alain Roy, Bill Kramer, Paul Avery, Don Petravick, T. Wenaus and Ian Foster. Their work appears in journals such as Geoscientific model development, Informatics, Journal of Grid Computing, Journal of Physics Conference Series and Procedia Computer Science.
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.