Greg Mackey

576 citations
7 papers · 414 · h-index 5

Impact in

Papers in

Greg Mackey

7 papers receiving 373 citations

Peers

Greg Mackey
Comparison fields: 5 of 67
  • Nature and Landscape Conservation 123
  • Computational Theory and Mathematics 126
  • Numerical Analysis 39
  • Aquatic Science 42
  • Computational Mechanics 91
Replace Jarle Berntsen with:
Jarle Berntsen Norway
Fasma Diele Italy
Jiří Souček Czechia
B. W. Rust United States
Olivier Goubet France
Masahiro Nakamura Japan
Marcus R. Garvie Canada
Carmela Curró Italy
David L. Ragozin United States
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Citations per year

Countries citing papers authored by Greg Mackey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Greg Mackey Line = papers co-authored together Greg Mackey links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2006232
2 2001103
3
Molecular methods for the genetic identification of salmonid prey from Pacific harbor seal (Phoca vitulina richardsi ) scat
200453
4 201116
5
High performance semantic factoring of giga-scale semantic graph databases.
20108
6 20131
7
High Performance Descriptive Semantic Analysis of Semantic Graph Databases
20111

About Greg Mackey

Greg Mackey is a scholar working on Computer Networks and Communications, Nature and Landscape Conservation, Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, having authored 7 papers that have together received 414 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (2 papers), Fish Ecology and Management Studies (2 papers), Graph Theory and Algorithms (2 papers), Electromagnetic Simulation and Numerical Methods (1 paper), Electromagnetic Scattering and Analysis (1 paper), Marine animal studies overview (1 paper), Genetic diversity and population structure (1 paper) and Fish Biology and Ecology Studies (1 paper). The work is most often cited by research in Nature and Landscape Conservation (123 citations), Computational Theory and Mathematics (126 citations), Numerical Analysis (39 citations), Aquatic Science (42 citations) and Computational Mechanics (91 citations). Greg Mackey has collaborated with scholars based in United States and Argentina. Frequent co-authors include Eric de Sturler, Michael L. Parks, Spandan Maiti, D. D. Johnson, Paul Bentzen, Carla Rossi, Miguel Pascual, R. Walker, Michael T. Kinnison and Harriet R. Huber. Their work appears in journals such as Gastroenterology, SIAM Journal on Scientific Computing, Transactions of the American Fisheries Society, Environmental Biology of Fishes and AquaDocs (United Nations Educational, Scientific and Cultural Organization).

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.

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