D. Edwin Swift

950 total citations
31 papers, 798 citations indexed

About

D. Edwin Swift is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, D. Edwin Swift has authored 31 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Nature and Landscape Conservation, 11 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in D. Edwin Swift's work include Forest ecology and management (21 papers), Tree Root and Stability Studies (9 papers) and Forest Biomass Utilization and Management (7 papers). D. Edwin Swift is often cited by papers focused on Forest ecology and management (21 papers), Tree Root and Stability Studies (9 papers) and Forest Biomass Utilization and Management (7 papers). D. Edwin Swift collaborates with scholars based in Canada, United States and Finland. D. Edwin Swift's co-authors include Ronald J. Hall, G Pavlic, H. Peter White, Derek R. Peddle, J. A. Trofymow, Douglas J. King, Sylvain G. Leblanc, Petri Pellikka, J.J. van der Sanden and J. Cihlar and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Forest Ecology and Management.

In The Last Decade

D. Edwin Swift

29 papers receiving 731 citations

Peers

D. Edwin Swift

GPC

ECOLO

EE

NLC

PS

Chhun-Huor Ung Canada

Jaakko Repola Finland

Henrique Ferraço Scolforo Brazil

Eric C. Turnblom United States

Pauline Oker‐Blom Finland

Timothy A. Max United States

Brian E. Roth United States

David M. Drew South Africa

Jean‐Christophe Hervé France

Sebastião Fonseca Brazil

Chhun-Huor Ung Canada

D. Edwin Swift

601 ×1.4

GPC

166 ×0.4

ECOLO

334 ×1.0

EE

763 ×2.6

NLC

105 ×0.5

PS

Citations per year, relative to D. Edwin Swift D. Edwin Swift (= 1×) peers Chhun-Huor Ung

Countries citing papers authored by D. Edwin Swift

Since Specialization

Citations

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

Fields of papers citing papers by D. Edwin Swift

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Edwin Swift. 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 D. Edwin Swift. The network helps show where D. Edwin Swift may publish in the future.

Co-authorship network of co-authors of D. Edwin Swift

This figure shows the co-authorship network connecting the top 25 collaborators of D. Edwin Swift. A scholar is included among the top collaborators of D. Edwin Swift 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 D. Edwin Swift. D. Edwin Swift is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Baah‐Acheamfour, Mark, Charles P.‐A. Bourque, Fan‐Rui Meng, & D. Edwin Swift. (2017). Incorporating interspecific competition into species-distribution mapping by upward scaling of small-scale model projections to the landscape. PLoS ONE. 12(2). e0171487–e0171487. 3 indexed citations

2.

Duchesne, Isabelle, et al.. (2013). Characterization of Knots in Plantation White Spruce. Wood and Fiber Science. 45(1). 84–97. 25 indexed citations

3.

Zhao, Zhengyong, David A. MacLean, Charles P.‐A. Bourque, D. Edwin Swift, & Fan‐Rui Meng. (2013). Generation of soil drainage equations from an artificial neural network-analysis approach. Canadian Journal of Plant Science. 1 indexed citations

4.

Duchesne, Isabelle, et al.. (2013). Assessment of white spruce and jack pine stem curvature from a nelder spacing experiment.. Wood and Fiber Science. 45(3). 237–249. 7 indexed citations

5.

Baah‐Acheamfour, Mark, Charles P.‐A. Bourque, Fan‐Rui Meng, & D. Edwin Swift. (2013). Classifying forestland from model-generated tree species habitat suitability in the Western Ecoregion of Nova Scotia, Canada. Canadian Journal of Forest Research. 43(6). 517–527. 6 indexed citations

6.

Zhao, Zhengyong, David A. MacLean, Charles P.‐A. Bourque, D. Edwin Swift, & Fan‐Rui Meng. (2013). Generation of soil drainage equations from an artificial neural network-analysis approach. Canadian Journal of Soil Science. 93(3). 329–342. 5 indexed citations

7.

Schneider, Robert, et al.. (2011). Modeling Jack Pine (Pinus banksiana) Foliage Density Distribution. Forest Science. 57(3). 180–188. 1 indexed citations

8.

Schneider, Robert, et al.. (2011). Modeling jack pine branch characteristics in Eastern Canada. Forest Ecology and Management. 262(9). 1748–1757. 20 indexed citations

9.

Schneider, Robert, Frank Berninger, Chhun-Huor Ung, et al.. (2011). Within crown variation in the relationship between foliage biomass and sapwood area in jack pine. Tree Physiology. 31(1). 22–29. 17 indexed citations

10.

Wetzel, Suzanne, et al.. (2010). Research in Canada's National Research Forests—Past, present and future. Forest Ecology and Management. 261(5). 893–899. 11 indexed citations

11.

Xing, Zisheng, Charles P.‐A. Bourque, Fan‐Rui Meng, et al.. (2008). Modification of an ecosystem model for filling medium-sized gaps in tower-based estimates of net ecosystem productivity. Ecological Modelling. 213(1). 86–97. 2 indexed citations

12.

Xing, Zisheng, Charles P.‐A. Bourque, Fan‐Rui Meng, et al.. (2007). A simple net ecosystem productivity model for gap filling of tower-based fluxes: An extension of Landsberg's equation with modifications to the light interception term. Ecological Modelling. 206(3-4). 250–262. 7 indexed citations

13.

Swift, D. Edwin, et al.. (2007). A stand density management diagram for spruce–balsam fir mixtures in New Brunswick. The Forestry Chronicle. 83(2). 187–197. 6 indexed citations

14.

Chauret, Gilles, et al.. (2006). Effects of precommercial thinning on tree growth and lumber quality in a jack pine stand in New Brunswick, Canada. Canadian Journal of Forest Research. 36(4). 945–952. 66 indexed citations

15.

Yang, Qifan, et al.. (2006). Improving Classification Accuracy of TM Images in Forest Areas with Auxiliary Data. 2655–2658. 6 indexed citations

16.

Swift, D. Edwin, et al.. (2006). A stand density management diagram for balsam fir in New Brunswick. The Forestry Chronicle. 82(5). 700–711. 11 indexed citations

17.

Xing, Zhe, et al.. (2005). Carbon and biomass partitioning in balsam fir (Abies balsamea). Tree Physiology. 25(9). 1207–1217. 23 indexed citations

18.

Meng, Fan‐Rui, et al.. (2003). Combining carbon sequestration objectives with timber management planning. Mitigation and Adaptation Strategies for Global Change. 8(4). 371–403. 11 indexed citations

19.

Swift, D. Edwin. (2003). Report Title : Development of Stand Density Management Diagrams for Eastern Spruce- Balsam Fir Forests of the Acadian Forest Region. Progress Report for 2002-2003. 1 indexed citations

20.

Pavlic, G, J. Cihlar, Sylvain G. Leblanc, et al.. (2002). Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements. Remote Sensing of Environment. 80(1). 165–184. 439 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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