Glen MacKay
Impact in
- Paleontology top 5%
- Archaeology and ancient environmental studies
- Anthropology top 5%
- Pleistocene-Era Hominins and Archaeology
Papers in
-
- Indigenous Studies and Ecology 8
-
- Archaeology and ancient environmental studies 7
- Co-authors
- T. Daniel Andrews (15 shared papers)Beth Shapiro (4 shared papers)P. Gregory Hare (2 shared papers)Brandon Letts (3 shared papers)Mathias Stiller (3 shared papers)Brian J. Moorman (3 shared papers)Peter D. Heintzman (2 shared papers)Grant D. Zazula (2 shared papers)
- Journals
- Quaternary Science Reviews (2 papers)Proceedings of the National Academy of Sciences (2 papers)Mountain Research and Development (1 paper)Journal of Archaeological Science Reports (1 paper)Forests (1 paper)
- Partner nations
- CanadaUnited StatesRussia
In The Last Decade
Glen MacKay
17 papers receiving 426 citations
Peers
Comparison fields: 5 of 66
- Paleontology 168
- Anthropology 152
- Space and Planetary Science 12
- Atmospheric Science 151
- Archeology 8
Countries citing papers authored by Glen MacKay
This map shows the geographic impact of Glen MacKay'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 Glen MacKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen MacKay more than expected).
Fields of papers citing papers by Glen MacKay
This network shows the impact of papers produced by Glen MacKay. 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 Glen MacKay. The network helps show where Glen MacKay may publish in the future.
Co-authors
The 25 scholars most cited alongside Glen MacKay, 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 | 2016 | 118 | |
| 2 | 2014 | 103 | |
| 3 | 2012 | 40 | |
| 4 | 2009 | 38 | |
| 5 | 2012 | 33 | |
| 6 | 2012 | 22 | |
| 7 | 2012 | 19 | |
| 8 | 2012 | 18 | |
| 9 | 2012 | 17 | |
| 10 | 2012 | 13 | |
| 11 | 2020 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2013 | 3 | |
| 15 | 2022 | 1 | |
| 16 | 2016 | 1 | |
| 17 | The Nii'ii hunting stand site : understanding technological practice as social practice in subarctic prehistory | 2004 | 1 |
| 18 | 2022 | 0 |
About Glen MacKay
Glen MacKay is a scholar working on General Health Professions, Paleontology, Anthropology, Atmospheric Science and Ecology, having authored 18 papers that have together received 454 indexed citations. Recurring topics across this work include Indigenous Studies and Ecology (8 papers), Archaeology and ancient environmental studies (7 papers), Pleistocene-Era Hominins and Archaeology (6 papers), Geology and Paleoclimatology Research (5 papers), Forest Ecology and Biodiversity Studies (3 papers), Cryospheric studies and observations (3 papers), Wildlife Ecology and Conservation (2 papers) and Climate change and permafrost (2 papers). The work is most often cited by research in Paleontology (168 citations), Anthropology (152 citations), Space and Planetary Science (12 citations), Atmospheric Science (151 citations) and Archeology (8 citations). Glen MacKay has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include T. Daniel Andrews, Beth Shapiro, P. Gregory Hare, Brandon Letts, Mathias Stiller, Brian J. Moorman, Peter D. Heintzman, Grant D. Zazula, Claire Alix and John W. Ives. Their work appears in journals such as Quaternary Science Reviews, Proceedings of the National Academy of Sciences, Mountain Research and Development, Journal of Archaeological Science Reports and Forests.
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.