Greg Mackey
Impact in
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- Fish Ecology and Management Studies
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- Matrix Theory and Algorithms
Papers in
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- Fish Ecology and Management Studies 2
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- Advanced Database Systems and Queries 2
- Co-authors
- Eric de Sturler (1 shared paper)Duane D. Johnson (1 shared paper)Michael L. Parks (1 shared paper)Spandan Maiti (1 shared paper)Carla Riva Rossi (1 shared paper)Michael T. Kinnison (1 shared paper)Miguel Alberto Pascual (1 shared paper)Rob Walker (1 shared paper)
- Journals
- SIAM Journal on Scientific Computing (1 paper)Transactions of the American Fisheries Society (1 paper)Environmental Biology of Fishes (1 paper)AquaDocs (United Nations Educational, Scientific and Cultural Organization) (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United StatesArgentina
In The Last Decade
Greg Mackey
7 papers receiving 387 citations
Peers
Comparison fields: 5 of 67
- Nature and Landscape Conservation 124
- Computational Theory and Mathematics 132
- Numerical Analysis 42
- Aquatic Science 43
- Computational Mechanics 96
Countries citing papers authored by Greg Mackey
This map shows the geographic impact of Greg Mackey'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 Greg Mackey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Mackey more than expected).
Fields of papers citing papers by Greg Mackey
This network shows the impact of papers produced by Greg Mackey. 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 Greg Mackey. The network helps show where Greg Mackey may publish in the future.
Co-authors
The 20 scholars most cited alongside Greg Mackey, 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 | 2006 | 244 | |
| 2 | 2001 | 107 | |
| 3 | Molecular methods for the genetic identification of salmonid prey from Pacific harbor seal (Phoca vitulina richardsi ) scat | 2004 | 52 |
| 4 | 2011 | 14 | |
| 5 | High performance semantic factoring of giga-scale semantic graph databases. | 2010 | 7 |
| 6 | 2013 | 1 | |
| 7 | High Performance Descriptive Semantic Analysis of Semantic Graph Databases | 2011 | 1 |
About Greg Mackey
Greg Mackey is a scholar working on Nature and Landscape Conservation, Computer Networks and Communications, Computer Vision and Pattern Recognition, Aquatic Science and Hardware and Architecture, having authored 7 papers that have together received 426 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (2 papers), Graph Theory and Algorithms (2 papers), Advanced Database Systems and Queries (2 papers), Genetic diversity and population structure (1 paper), Parallel Computing and Optimization Techniques (1 paper), Algorithms and Data Compression (1 paper), Fish Biology and Ecology Studies (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Nature and Landscape Conservation (124 citations), Computational Theory and Mathematics (132 citations), Numerical Analysis (42 citations), Aquatic Science (43 citations) and Computational Mechanics (96 citations). Greg Mackey has collaborated with scholars based in United States and Argentina. Frequent co-authors include Eric de Sturler, Duane D. Johnson, Michael L. Parks, Spandan Maiti, Carla Riva Rossi, Michael T. Kinnison, Miguel Alberto Pascual, Rob Walker, Paul Bentzen and Eric S. LaHood. Their work appears in journals such as SIAM Journal on Scientific Computing, Transactions of the American Fisheries Society, Environmental Biology of Fishes, AquaDocs (United Nations Educational, Scientific and Cultural Organization) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.