Kevin Lawrence

2.7k citations
24 papers · 2.1k indexed · 1 hit paper · h-index 15
Topics
Climate variability and models (7 papers)Ecology and Vegetation Dynamics Studies (5 papers)Remote Sensing in Agriculture (4 papers)

In The Last Decade

Kevin Lawrence

23 papers receiving 2.0k citations

Hit Papers

Climate Change and Forest Fire Potential in Russian and C...19982026200720161998100200300400500

Peers

Kevin Lawrence
Comparison fields: 5 of 80
  • Global and Planetary Change 1.4k
  • Atmospheric Science 777
  • Nature and Landscape Conservation 570
  • Ecology 570
  • Ecological Modeling 343
Replace Dave Spittlehouse with:
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Michael D. Halbleib United States
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Kevin Lawrence relative to Dave Spittlehouse Canada Dave Spittlehouse's profile →
Citations per field
00.5×2.5×
Dave Spittlehouse · 1×
Citations per year

Countries citing papers authored by Kevin Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Lawrence. A scholar is included among the top collaborators of Kevin Lawrence 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 Kevin Lawrence. Kevin Lawrence 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
#WorkIndexed citations
1 0
2 2
3 4
4 4
5 16
6 10
7 16
8 63
9 10
10 58
11 54
12 364
13
High-resolution interpolation of climate scenarios for Canada derived from general circulation model simulations
25
14 370
15 32
16 80
17
Climate change projections for Ontario: practical information for policymakers and planners.
40
18 419
19
THE DEVELOPMENT OF PHOTOVOLTAIC RESOURCE MAPS FOR CANADA
14
20
Climate Change and Forest Fire Potential in Russian and Canadian Boreal Forestsbreakdown →
505

About Kevin Lawrence

Kevin Lawrence is a scholar working on Ecological Modeling, Global and Planetary Change and Nature and Landscape Conservation, having authored 24 papers that have together received 2.1k indexed citations. Recurring topics across this work include Climate variability and models (7 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Remote Sensing in Agriculture (4 papers). The work is most often cited by research in Ecological Modeling (343 citations), Global and Planetary Change (1.4k citations) and Nature and Landscape Conservation (570 citations). Kevin Lawrence has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Daniel W. McKenney, John Pedlar, Michael F. Hutchinson, K Campbell, Pia Papadopol, Ron F. Hopkinson, Ewa J. Milewska, David T. Price, T. J. Lynham and B. Mike Wotton. Their work appears in journals such as BioScience, Ecological Economics and Biological Conservation.

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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