John Pedlar

6.3k total citations · 2 hit papers
77 papers, 4.8k citations indexed

About

John Pedlar is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, John Pedlar has authored 77 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Global and Planetary Change, 32 papers in Nature and Landscape Conservation and 28 papers in Ecology. Recurrent topics in John Pedlar's work include Ecology and Vegetation Dynamics Studies (20 papers), Forest Insect Ecology and Management (18 papers) and Plant Water Relations and Carbon Dynamics (14 papers). John Pedlar is often cited by papers focused on Ecology and Vegetation Dynamics Studies (20 papers), Forest Insect Ecology and Management (18 papers) and Plant Water Relations and Carbon Dynamics (14 papers). John Pedlar collaborates with scholars based in Canada, United States and Australia. John Pedlar's co-authors include Daniel W. McKenney, Michael F. Hutchinson, Kevin Lawrence, K Campbell, Pia Papadopol, Lenore Fahrig, Lisa Venier, Philip Taylor, John Wegner and Shealagh E. Pope and has published in prestigious journals such as PLoS ONE, Scientific Reports and Global Change Biology.

In The Last Decade

John Pedlar

70 papers receiving 4.5k citations

Hit Papers

Effect of road traffic on amphibian density 1995 2026 2005 2015 1995 2013 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Pedlar Canada 30 2.5k 1.9k 1.7k 1.0k 995 77 4.8k
Linda A. Joyce United States 31 3.8k 1.5× 2.1k 1.1× 2.0k 1.1× 897 0.9× 470 0.5× 76 6.0k
Daniel W. McKenney Canada 46 4.2k 1.7× 2.3k 1.2× 2.5k 1.4× 1.7k 1.6× 1.3k 1.3× 165 7.6k
Thomas Dirnböck Austria 27 1.1k 0.4× 1.3k 0.7× 1.9k 1.1× 764 0.7× 1.4k 1.4× 70 3.8k
Jeremy W. Lichstein United States 34 2.2k 0.9× 1.8k 0.9× 2.5k 1.5× 606 0.6× 753 0.8× 68 4.8k
Robert M. Scheller United States 43 3.8k 1.5× 1.7k 0.9× 2.8k 1.6× 508 0.5× 661 0.7× 120 5.1k
Sean M. McMahon United States 32 1.6k 0.6× 1.4k 0.7× 2.2k 1.3× 531 0.5× 1.3k 1.3× 72 3.9k
Nathan L. Stephenson United States 34 6.5k 2.6× 2.6k 1.4× 4.3k 2.5× 2.1k 2.1× 1.0k 1.1× 72 8.4k
Heike Lischke Switzerland 31 1.6k 0.6× 752 0.4× 1.6k 1.0× 805 0.8× 816 0.8× 77 3.1k
Jüergen Kreyling Germany 49 3.1k 1.2× 2.1k 1.1× 2.8k 1.6× 1.6k 1.5× 1.1k 1.1× 136 7.1k
Pieter De Frenne Belgium 41 2.0k 0.8× 1.7k 0.9× 3.1k 1.8× 562 0.5× 1.5k 1.5× 196 6.3k

Countries citing papers authored by John Pedlar

Since Specialization
Citations

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

Fields of papers citing papers by John Pedlar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Pedlar. 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 Pedlar. The network helps show where John Pedlar may publish in the future.

Co-authorship network of co-authors of John Pedlar

This figure shows the co-authorship network connecting the top 25 collaborators of John Pedlar. A scholar is included among the top collaborators of John Pedlar 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 John Pedlar. John Pedlar 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.
D’Orangeville, Loïc, Nelson Thiffault, John Pedlar, et al.. (2025). Correction: Challenges and opportunities for the operationalization of forest-assisted migration in Canada. Canadian Journal of Forest Research. 55. 1–1.
2.
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
3.
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.
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.
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.
Pedlar, John, et al.. (2023). Heating degree day spatial datasets for Canada. Data in Brief. 49. 109450–109450. 4 indexed citations
8.
Elliott, Ken A., et al.. (2022). Enhancing forest resilience: Advances in Ontario’s wild tree seed transfer policy. The Forestry Chronicle. 98(1). 44–53. 5 indexed citations
9.
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
10.
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
11.
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
12.
McKenney, Daniel W., et al.. (2020). North American historical monthly spatial climate dataset, 1901–2016. Scientific Data. 7(1). 411–411. 16 indexed citations
13.
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
14.
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
15.
Pedlar, John & Daniel W. McKenney. (2017). Assessing the anticipated growth response of northern conifer populations to a warming climate. Scientific Reports. 7(1). 43881–43881. 63 indexed citations
16.
McKenney, Daniel W., et al.. (2016). Wildfire Suppression Costs for Canada under a Changing Climate. PLoS ONE. 11(8). e0157425–e0157425. 62 indexed citations
17.
McKenney, Daniel W., et al.. (2015). HARDINESS ZONES AND BIOCLIMATIC MODELLING OF PLANT SPECIES DISTRIBUTIONS IN NORTH AMERICA©. Acta Horticulturae. 139–148. 2 indexed citations
18.
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
19.
McKenney, Daniel W., John Pedlar, & Gregory A. O’Neill. (2009). Climate change and forest seed zones: Past trends, future prospects and challenges to ponder. The Forestry Chronicle. 85(2). 258–266. 62 indexed citations
20.
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

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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