Daniel W. McKenney

9.8k total citations · 2 hit papers
165 papers, 7.6k citations indexed

About

Daniel W. McKenney is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Daniel W. McKenney has authored 165 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Global and Planetary Change, 55 papers in Nature and Landscape Conservation and 45 papers in Ecology. Recurrent topics in Daniel W. McKenney's work include Forest Management and Policy (53 papers), Ecology and Vegetation Dynamics Studies (31 papers) and Forest ecology and management (26 papers). Daniel W. McKenney is often cited by papers focused on Forest Management and Policy (53 papers), Ecology and Vegetation Dynamics Studies (31 papers) and Forest ecology and management (26 papers). Daniel W. McKenney collaborates with scholars based in Canada, Australia and United States. Daniel W. McKenney's co-authors include John Pedlar, Michael F. Hutchinson, Kevin Lawrence, Denys Yemshanov, Pia Papadopol, Lisa Venier, K Campbell, David T. Price, Ron F. Hopkinson and Ewa J. Milewska and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Daniel W. McKenney

156 papers receiving 7.1k citations

Hit Papers

Climate Change and Forest Fire Potential in Russian and C... 1998 2026 2007 2016 1998 2013 100 200 300 400 500

Peers

Daniel W. McKenney
Patrick González United States
Nathan L. Stephenson United States
John B. Bradford United States
Michael C. Dietze United States
Louis R. Iverson United States
P. R. Moorcroft United States
Dominique Bachelet United States
Anantha Prasad United States
Patrick González United States
Daniel W. McKenney
Citations per year, relative to Daniel W. McKenney Daniel W. McKenney (= 1×) peers Patrick González

Countries citing papers authored by Daniel W. McKenney

Since Specialization
Citations

This map shows the geographic impact of Daniel W. McKenney'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 Daniel W. McKenney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. McKenney more than expected).

Fields of papers citing papers by Daniel W. McKenney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. McKenney. 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 Daniel W. McKenney. The network helps show where Daniel W. McKenney may publish in the future.

Co-authorship network of co-authors of Daniel W. McKenney

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. McKenney. A scholar is included among the top collaborators of Daniel W. McKenney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel W. McKenney. Daniel W. McKenney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lu, Pengxin, Jean Beaulieu, John Pedlar, et al.. (2024). Assessing assisted population migration (seed transfer) for eastern white pine at northern planting sites. Forest Ecology and Management. 572. 122309–122309. 2 indexed citations
2.
Pedlar, John, et al.. (2024). Assisted migration outcomes for oak species and seed sources in southern Ontario, Canada. Frontiers in Forests and Global Change. 7.
3.
McKenney, Daniel W., et al.. (2024). A cost-benefit analysis of WildFireSat, a wildfire monitoring satellite mission for Canada. PLoS ONE. 19(5). e0302699–e0302699. 2 indexed citations
4.
McKenney, Daniel W., et al.. (2024). Spatial datasets of CMIP6 climate change projections for Canada and the United States. Data in Brief. 58. 111246–111246.
5.
McKenney, Daniel W., et al.. (2023). Sentiments toward use of forest biomass for heat and power in canadian headlines. Heliyon. 9(2). e13254–e13254. 3 indexed citations
6.
Pedlar, John, et al.. (2023). Effect of tree species and seed origin on climate change trial outcomes in Southern Ontario. New Forests. 55(1). 63–79. 4 indexed citations
7.
Kant, Shashi, et al.. (2023). Decision biases and environmental attitudes among conservation professionals. Conservation Science and Practice. 5(6).
8.
Pedlar, John, Daniel W. McKenney, & Pengxin Lu. (2021). Critical seed transfer distances for selected tree species in eastern North America. Journal of Ecology. 109(6). 2271–2283. 26 indexed citations
9.
McKenney, Daniel W., et al.. (2021). A compilation of North American tree provenance trials and relevant historical climate data for seven species. Scientific Data. 8(1). 29–29. 21 indexed citations
10.
Pedlar, John, et al.. (2020). Assessing the climate suitability and potential economic impacts of Oak wilt in Canada. Scientific Reports. 10(1). 19391–19391. 23 indexed citations
11.
Ng, Victoria, Philippe Gachon, Abla Mawudeku, et al.. (2019). Risk assessment strategies for early detection and prediction of infectious disease outbreaks associated with climate change. Canada Communicable Disease Report. 45(5). 119–126. 21 indexed citations
12.
Stralberg, Diana, Carlos Carroll, John Pedlar, et al.. (2018). Macrorefugia for North American trees and songbirds: Climatic limiting factors and multi‐scale topographic influences. Global Ecology and Biogeography. 27(6). 690–703. 52 indexed citations
13.
Weersink, Alfons, et al.. (2016). Effects of supply chain structure and biomass prices on bioenergy feedstock supply. Applied Energy. 183. 1053–1064. 45 indexed citations
14.
Weersink, Alfons, et al.. (2013). A spatial model of climate change effects on yields and break‐even prices of switchgrass and miscanthus in Ontario, Canada. GCB Bioenergy. 6(4). 390–400. 20 indexed citations
15.
Yemshanov, Denys, Daniel W. McKenney, Peter de Groot, et al.. (2010). A harvest failure approach to assess the threat from an invasive species. Journal of Environmental Management. 92(1). 205–213. 6 indexed citations
16.
Yemshanov, Denys, et al.. (2009). Mapping Invasive Species Risks with Stochastic Models: A Cross‐Border United States‐Canada Application for Sirex noctilio Fabricius. Risk Analysis. 29(6). 868–884. 48 indexed citations
17.
McKenney, Daniel W., John Pedlar, Kevin Lawrence, K Campbell, & Michael F. Hutchinson. (2007). Beyond Traditional Hardiness Zones: Using Climate Envelopes to Map Plant Range Limits. BioScience. 57(11). 929–937. 80 indexed citations
18.
McKenney, Daniel W., A. A. Hopkin, K Campbell, Brendan Mackey, & Robert G. Foottit. (2003). Opportunities for Improved Risk Assessments of Exotic Species in Canada Using Bioclimatic Modeling. Environmental Monitoring and Assessment. 88(1-3). 445–461. 35 indexed citations
19.
McKenney, Daniel W., Brendan Mackey, & Dennis G. Joyce. (1999). Seedwhere: a computer tool to support seed transfer and ecological restoration decisions. Environmental Modelling & Software. 14(6). 589–595. 32 indexed citations
20.
McKenney, Daniel W., Brendan Mackey, & Richard A. Sims. (1996). Primary databases for forest ecosystem management-examples from Ontario and possibilities for Canada: NatGRID. Environmental Monitoring and Assessment. 39(1-3). 399–415. 10 indexed citations

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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