Duncan S. Wilson

657 total citations
21 papers, 513 citations indexed

About

Duncan S. Wilson is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Duncan S. Wilson has authored 21 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nature and Landscape Conservation, 15 papers in Global and Planetary Change and 8 papers in Atmospheric Science. Recurrent topics in Duncan S. Wilson's work include Forest ecology and management (14 papers), Tree-ring climate responses (8 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Duncan S. Wilson is often cited by papers focused on Forest ecology and management (14 papers), Tree-ring climate responses (8 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Duncan S. Wilson collaborates with scholars based in United States and Brazil. Duncan S. Wilson's co-authors include Klaus J. Puettmann, Douglas A. Maguire, Rodney E. Will, Eric J. Jokela, James E. Allen, Aaron R. Weiskittel, John P. Brown, Linda S. Heath, Sean M. Garber and Robert S. Seymour and has published in prestigious journals such as Conservation Biology, Ecological Monographs and Forest Ecology and Management.

In The Last Decade

Duncan S. Wilson

21 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duncan S. Wilson United States 13 351 341 151 124 57 21 513
John M. Goodburn United States 9 290 0.8× 295 0.9× 231 1.5× 117 0.9× 42 0.7× 11 469
Douglas N. Kastendick United States 11 259 0.7× 208 0.6× 149 1.0× 112 0.9× 36 0.6× 18 393
Allan Sims Estonia 13 232 0.7× 269 0.8× 166 1.1× 94 0.8× 113 2.0× 39 407
Wolfgang Falk Germany 11 310 0.9× 406 1.2× 93 0.6× 146 1.2× 54 0.9× 16 618
Lars Drößler Sweden 11 492 1.4× 552 1.6× 286 1.9× 101 0.8× 95 1.7× 18 743
Ahto Kangur Estonia 14 397 1.1× 369 1.1× 231 1.5× 113 0.9× 111 1.9× 45 626
Sanja Perić Croatia 8 239 0.7× 283 0.8× 86 0.6× 69 0.6× 59 1.0× 44 445
Donald L. Sachs Canada 12 351 1.0× 334 1.0× 251 1.7× 138 1.1× 60 1.1× 17 587
Ken Stadt Canada 7 370 1.1× 440 1.3× 120 0.8× 132 1.1× 81 1.4× 10 582
François Ningre France 17 405 1.2× 464 1.4× 104 0.7× 82 0.7× 93 1.6× 42 653

Countries citing papers authored by Duncan S. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Duncan S. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duncan S. Wilson. 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 Duncan S. Wilson. The network helps show where Duncan S. Wilson may publish in the future.

Co-authorship network of co-authors of Duncan S. Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan S. Wilson. A scholar is included among the top collaborators of Duncan S. Wilson 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 Duncan S. Wilson. Duncan S. Wilson 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.
Wilson, Duncan S., Vicente J. Monleón, & Aaron R. Weiskittel. (2019). Quantification and incorporation of uncertainty in forest growth and yield projections using a Bayesian probabilistic framework: A demonstration for plantation coastal Douglas-fir in the Pacific Northwest, USA. 11(2). 264–285. 6 indexed citations
2.
Hallgren, Stephen W., et al.. (2017). Low-basal area treatment and prescribed fire to restore oak-pine savannas alter small mammal communities. Forest Ecology and Management. 400. 353–362. 6 indexed citations
3.
4.
Will, Rodney E., et al.. (2016). Fertilization reduced stomatal conductance but not photosynthesis of Pinus taeda which compensated for lower water availability in regards to growth. Forest Ecology and Management. 381. 37–47. 30 indexed citations
5.
6.
Will, Rodney E., et al.. (2016). Relationship between photosynthetically active radiation and understory productivity across a forest-savanna continuum. Forest Ecology and Management. 374. 51–60. 17 indexed citations
7.
Will, Rodney E., et al.. (2016). The effects of decreased water availability on loblolly pine (Pinus taeda L.) productivity and the interaction between fertilizer and drought. 212. 355–357. 1 indexed citations
8.
Lynch, Thomas B., et al.. (2015). Influence of weather and climate variables on the basal area growth of individual shortleaf pine trees. 2015. 406–408. 1 indexed citations
9.
Will, Rodney E., et al.. (2013). Water use of Juniperus virginiana trees encroached into mesic prairies in Oklahoma, USA. Ecohydrology. 7(4). 1124–1134. 48 indexed citations
10.
Temesgen, Hailemariam, Vicente J. Monleón, Aaron R. Weiskittel, & Duncan S. Wilson. (2011). Sampling Strategies for Efficient Estimation of Tree Foliage Biomass. Forest Science. 57(2). 153–163. 22 indexed citations
11.
Wilson, Duncan S., et al.. (2009). Evaluating the consistency of understorey vegetation response to forest thinning through synthetic analysis of operational-scale experiments. Forestry An International Journal of Forest Research. 82(5). 583–596. 17 indexed citations
12.
Wilson, Duncan S., et al.. (2009). Bayesian Small Area Models for Assessing Wildlife Conservation Risk in Patchy Populations. Conservation Biology. 23(4). 982–991. 5 indexed citations
13.
Wilson, Duncan S. & Douglas A. Maguire. (2009). Environmental basis of soil–site productivity relationships in ponderosa pine. Ecological Monographs. 79(4). 595–617. 5 indexed citations
14.
Wilson, Duncan S., et al.. (2008). Monitoring amphibian populations with incomplete survey information using a Bayesian probabilistic model. Ecological Modelling. 214(2-4). 210–218. 14 indexed citations
15.
Weiskittel, Aaron R., Hailemariam Temesgen, Duncan S. Wilson, & Douglas A. Maguire. (2007). Sources of within- and between-stand variability in specific leaf area of three ecologically distinct conifer species. Annals of Forest Science. 65(1). 103–103. 35 indexed citations
16.
Wilson, Duncan S. & Klaus J. Puettmann. (2007). Density management and biodiversity in young Douglas-fir forests: Challenges of managing across scales. Forest Ecology and Management. 246(1). 123–134. 81 indexed citations
17.
Garber, Sean M., John P. Brown, Duncan S. Wilson, Douglas A. Maguire, & Linda S. Heath. (2005). Snag longevity under alternative silvicultural regimes in mixed-species forests of central Maine. Canadian Journal of Forest Research. 35(4). 787–796. 76 indexed citations
18.
Jokela, Eric J., Duncan S. Wilson, & James E. Allen. (2000). Early Growth Responses of Slash and Loblolly Pine Following Fertilization and Herbaceous Weed Control Treatments at Establishment. Southern Journal of Applied Forestry. 24(1). 23–30. 52 indexed citations
19.
Wilson, Duncan S., Robert S. Seymour, & Douglas A. Maguire. (1999). Density Management Diagram for Northeastern Red Spruce and Balsam Fir Forests. Northern Journal of Applied Forestry. 16(1). 48–56. 43 indexed citations
20.
Jokela, Eric J., et al.. (1999). Pitch Canker in Young Loblolly Pines: Influence of Precommercial Thinning and Fertilization on Disease Incidence and Severity. Southern Journal of Applied Forestry. 23(3). 139–143. 11 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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