Daniel J. Leduc

471 total citations
29 papers, 326 citations indexed

About

Daniel J. Leduc is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Daniel J. Leduc has authored 29 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nature and Landscape Conservation, 16 papers in Global and Planetary Change and 10 papers in Environmental Engineering. Recurrent topics in Daniel J. Leduc's work include Forest ecology and management (21 papers), Remote Sensing and LiDAR Applications (10 papers) and Plant Water Relations and Carbon Dynamics (9 papers). Daniel J. Leduc is often cited by papers focused on Forest ecology and management (21 papers), Remote Sensing and LiDAR Applications (10 papers) and Plant Water Relations and Carbon Dynamics (9 papers). Daniel J. Leduc collaborates with scholars based in United States, Brazil and Japan. Daniel J. Leduc's co-authors include J.C.G. Goelz, Carlos A. González-Benecke, Wendell P. Cropper, Lisa J. Samuelson, Timothy A. Martin, Salvador A. Gezan, James D. Haywood, Mary Anne Sword Sayer, Jim L. Chambers and Thomas J. Dean and has published in prestigious journals such as Forest Ecology and Management, Canadian Journal of Forest Research and Forest Science.

In The Last Decade

Daniel J. Leduc

22 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Leduc United States 9 269 189 101 53 35 29 326
Patricia Adame Spain 9 287 1.1× 247 1.3× 120 1.2× 78 1.5× 36 1.0× 20 381
J.C.G. Goelz United States 12 374 1.4× 247 1.3× 106 1.0× 88 1.7× 37 1.1× 22 412
Stein Michael Tomter Switzerland 8 214 0.8× 220 1.2× 119 1.2× 37 0.7× 43 1.2× 24 316
Roseana Pereira da Silva Brazil 7 246 0.9× 166 0.9× 65 0.6× 50 0.9× 56 1.6× 9 322
Bernt‐Håvard Øyen Norway 9 256 1.0× 215 1.1× 150 1.5× 43 0.8× 64 1.8× 26 390
Ján Ďurský Slovakia 4 399 1.5× 335 1.8× 128 1.3× 70 1.3× 33 0.9× 6 480
Luís Fontes Portugal 8 369 1.4× 321 1.7× 178 1.8× 64 1.2× 55 1.6× 12 470
Kelsey S. Milner United States 10 257 1.0× 262 1.4× 77 0.8× 25 0.5× 71 2.0× 15 355
Philippe Santenoise France 10 354 1.3× 203 1.1× 207 2.0× 64 1.2× 65 1.9× 14 485
Mauricio Zapata-Cuartas United States 7 223 0.8× 217 1.1× 82 0.8× 21 0.4× 45 1.3× 10 323

Countries citing papers authored by Daniel J. Leduc

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Leduc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Leduc

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Leduc. A scholar is included among the top collaborators of Daniel J. Leduc 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 J. Leduc. Daniel J. Leduc 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.
Eberhardt, Thomas L., Daniel J. Leduc, & Lisa J. Samuelson. (2022). Wood properties of loblolly pine grown under intensive management in the Upper Coastal Plain of southwest Georgia. Canadian Journal of Forest Research. 52(7). 1110–1118. 3 indexed citations
2.
Eberhardt, Thomas L., Chi‐Leung So, & Daniel J. Leduc. (2019). WOOD PROPERTY MAPS SHOWING WOOD VARIABILITY IN MATURE LONGLEAF PINE: DOES GETTING OLD CHANGE JUVENILE TENDENCIES?. Wood and Fiber Science. 51(2). 193–208. 9 indexed citations
3.
So, Chi‐Leung, Thomas L. Eberhardt, & Daniel J. Leduc. (2018). Within-tree variability in wood quality parameters for mature longleaf pine. 2018. 436–442. 2 indexed citations
4.
Eberhardt, Thomas L., Nicole Labbé, Chi‐Leung So, et al.. (2015). Effects of long-term elevated CO2 treatment on the inner and outer bark chemistry of sweetgum (Liquidambar styraciflua L.) trees. Trees. 29(6). 1735–1747. 3 indexed citations
5.
González-Benecke, Carlos A., Eric J. Jokela, Wendell P. Cropper, Rosvel Bracho, & Daniel J. Leduc. (2014). Parameterization of the 3-PG model for Pinus elliottii stands using alternative methods to estimate fertility rating, biomass partitioning and canopy closure. Forest Ecology and Management. 327. 55–75. 32 indexed citations
6.
González-Benecke, Carlos A., Salvador A. Gezan, Timothy A. Martin, et al.. (2013). Individual Tree Diameter, Height, and Volume Functions for Longleaf Pine. Forest Science. 60(1). 43–56. 21 indexed citations
7.
Haywood, James D., Daniel J. Leduc, & Shi‐Jean S. Sung. (2013). Comparing seven planting tools for container-grown longleaf pine seedlings. 56(1). 30–34. 1 indexed citations
8.
Sung, Shi‐Jean S., et al.. (2013). Developmental dynamics of longleaf pine seedling flushes and needles. 175. 149–155. 2 indexed citations
9.
Leduc, Daniel J., et al.. (2012). Assessing the leaning, bending, and sinuosity of sapling-size trees. 156. 177–183. 1 indexed citations
10.
González-Benecke, Carlos A., Salvador A. Gezan, Daniel J. Leduc, et al.. (2012). Modeling Survival, Yield, Volume Partitioning and Their Response to Thinning for Longleaf Pine Plantations. Forests. 3(4). 1104–1132. 19 indexed citations
11.
Leduc, Daniel J., James D. Haywood, & Shi‐Jean S. Sung. (2011). Comparing Planting Tools for Container Longleaf Pine. 54(1). 24–27. 1 indexed citations
12.
So, Chi‐Leung, Thomas L. Eberhardt, Daniel J. Leduc, Leslie H. Groom, & J.C.G. Goelz. (2010). Wood quality for longleaf pines: a spacing, thinning and pruning study on the Kisatchie National Forest. 121. 585–585. 1 indexed citations
13.
Leduc, Daniel J., et al.. (2004). DEVELOPMENT OF MATURE NATURAL EVEN-AGED STANDS OF LOBLOLLY PINE IN THE PIEDMONT. 2 indexed citations
14.
Goelz, J.C.G. & Daniel J. Leduc. (2004). Reproducibility and Reliability: How To Define the Population of Trees That Represent Site Quality For Longleaf Pine Plantations.
15.
Goelz, J.C.G. & Daniel J. Leduc. (2002). A Model Describing Growth and Development of Longleaf Pine Plantations: Consequences of Observed Stand Structures of Structure of the Model. 7 indexed citations
16.
Leduc, Daniel J., Thomas G. Matney, & V. Clark Baldwin. (1999). Diameter Distributions of Longleaf Pine Plantations-A Neural Network Approach. 2 indexed citations
17.
Baldwin, V. Clark, et al.. (1998). The Not-So-Sudden Results of the Sudden Saw Log Study - Growth and Yield Through Age 45. 1 indexed citations
18.
Farrar, Robert M., Paul A. Murphy, & Daniel J. Leduc. (1989). Volume growth of pine and hardwood in uneven-aged loblolly pine-upland hardwood mixtures. 3 indexed citations
19.
Leduc, Daniel J.. (1987). A comparative analysis of the reduced major axis technique of fitting lines to bivariate data. Canadian Journal of Forest Research. 17(12). 1630–1630. 2 indexed citations
20.
Leduc, Daniel J.. (1987). A comparative analysis of the reduced major axis technique of fitting lines to bivariate data. Canadian Journal of Forest Research. 17(7). 654–659. 40 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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