William A. Bechtold

3.0k total citations
35 papers, 961 citations indexed

About

William A. Bechtold is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, William A. Bechtold has authored 35 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Nature and Landscape Conservation, 16 papers in Environmental Engineering and 12 papers in Global and Planetary Change. Recurrent topics in William A. Bechtold's work include Forest ecology and management (28 papers), Remote Sensing and LiDAR Applications (15 papers) and Forest Management and Policy (9 papers). William A. Bechtold is often cited by papers focused on Forest ecology and management (28 papers), Remote Sensing and LiDAR Applications (15 papers) and Forest Management and Policy (9 papers). William A. Bechtold collaborates with scholars based in United States. William A. Bechtold's co-authors include Charles T. Scott, Stanley J. Zarnoch, Kenneth W. Stolte, Gregory A. Reams, Paul L. Patterson, Ronald E. McRoberts, Mark Hansen, Gretchen G. Moisen, William D. Smith and Michael S. Williams and has published in prestigious journals such as Forest Ecology and Management, The Laryngoscope and Canadian Journal of Forest Research.

In The Last Decade

William A. Bechtold

33 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William A. Bechtold United States 17 635 483 401 345 139 35 961
Charles T. Scott United States 15 607 1.0× 490 1.0× 403 1.0× 347 1.0× 108 0.8× 63 1.0k
Thomas J. Brandeis United States 16 432 0.7× 479 1.0× 148 0.4× 209 0.6× 90 0.6× 44 777
Joachim Saborowski Germany 15 552 0.9× 445 0.9× 305 0.8× 124 0.4× 116 0.8× 32 871
Gangying Hui China 15 861 1.4× 563 1.2× 264 0.7× 142 0.4× 163 1.2× 33 1.0k
Yuancai Lei China 17 591 0.9× 432 0.9× 371 0.9× 116 0.3× 70 0.5× 45 778
Lutz Fehrmann Germany 14 490 0.8× 319 0.7× 312 0.8× 173 0.5× 78 0.6× 38 720
Icíar Alberdi Spain 19 778 1.2× 768 1.6× 387 1.0× 272 0.8× 397 2.9× 61 1.3k
Klemens Schadauer Austria 20 706 1.1× 580 1.2× 616 1.5× 270 0.8× 372 2.7× 35 1.1k
Michał Zasada Poland 16 587 0.9× 461 1.0× 263 0.7× 139 0.4× 144 1.0× 69 866
Ervan Rutishauser France 16 594 0.9× 544 1.1× 231 0.6× 154 0.4× 65 0.5× 25 845

Countries citing papers authored by William A. Bechtold

Since Specialization
Citations

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

Fields of papers citing papers by William A. Bechtold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. Bechtold. 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 William A. Bechtold. The network helps show where William A. Bechtold may publish in the future.

Co-authorship network of co-authors of William A. Bechtold

This figure shows the co-authorship network connecting the top 25 collaborators of William A. Bechtold. A scholar is included among the top collaborators of William A. Bechtold 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 William A. Bechtold. William A. Bechtold 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.
Woodall, Christopher W., Michael C. Amacher, William A. Bechtold, et al.. (2010). Status and future of the forest health indicators program of the USA. Environmental Monitoring and Assessment. 177(1-4). 419–436. 58 indexed citations
2.
Bechtold, William A., KaDonna C. Randolph, & Stanley J. Zarnoch. (2009). The power of FIA Phase 3 Crown-Indicator variables to detect change. 56. 3 indexed citations
3.
Bechtold, William A. & Kurt H. Riitters. (2007). The historical background, framework, and the application of forest health monitoring in the United States. 4 indexed citations
4.
Lee, Sang-Mook, et al.. (2006). Digital photography for urban street tree crown conditions. 3 indexed citations
5.
McRoberts, Ronald E., William A. Bechtold, Paul L. Patterson, Charles T. Scott, & Gregory A. Reams. (2005). The Enhanced Forest Inventory and Analysis Program of the USDA Forest Service: Historical Perspective and Announcement of Statistical Documentation. Journal of Forestry. 103(6). 304–308. 105 indexed citations
6.
Bechtold, William A. & Charles T. Scott. (2005). The forest inventory and analysis plot design. 64 indexed citations
7.
Bechtold, William A. & John W. Coulston. (2005). Detection Monitoring of Crown Condition in South Carolina: A Case Study. 69. 2 indexed citations
8.
Bechtold, William A.. (2004). Largest-Crown-Width Prediction Models for 53 Species in the Western United States. Western Journal of Applied Forestry. 19(4). 245–251. 46 indexed citations
9.
Zarnoch, Stanley J., William A. Bechtold, & Kenneth W. Stolte. (2004). Using crown condition variables as indicators of forest health. Canadian Journal of Forest Research. 34(5). 1057–1070. 139 indexed citations
10.
Bechtold, William A.. (2003). Crown-Diameter Prediction Models for 87 Species of Stand-Grown Trees in the Eastern United States. Southern Journal of Applied Forestry. 27(4). 269–278. 86 indexed citations
11.
Bechtold, William A., et al.. (2000). Has Virginia pine declined? The use of forest health monitoring and other information in the determination. 212. 1 indexed citations
12.
Zarnoch, Stanley J. & William A. Bechtold. (2000). Estimating mapped-plot forest attributes with ratios of means. Canadian Journal of Forest Research. 30(5). 688–697. 16 indexed citations
13.
Scott, Charles T. & William A. Bechtold. (1995). Techniques and Computations for Mapping Plot Clusters that Straddle Stand Boundaries. Forest Science. 41(suppl_2). 46–61. 25 indexed citations
14.
Bechtold, William A., et al.. (1994). Forest health monitoring: 1991 Georgia indicator evaluation and field study. The Laryngoscope. 112(6). 1006–9. 3 indexed citations
15.
Czaplewski, Raymond L., Robin M. Reich, & William A. Bechtold. (1994). Spatial Autocorrelation in Growth of Undisturbed Natural Pine Stands Across Georgia. Forest Science. 40(2). 314–328. 16 indexed citations
16.
Reich, Robin M., Raymond L. Czaplewski, & William A. Bechtold. (1994). Spatial cross-correlation of undisturbed, natural shortleaf pine stands in northern Georgia. Environmental and Ecological Statistics. 1(3). 201–217. 20 indexed citations
17.
Reich, Robin M., et al.. (1992). Evaluation of weighted regression and sample size in developing a taper model for loblolly pine. Forest Ecology and Management. 53(1-4). 65–76. 14 indexed citations
18.
Alig, Ralph J., et al.. (1991). Physiographic position, disturbance and species composition in North Carolina coastal plain forests. Forest Ecology and Management. 41(1-2). 1–19. 18 indexed citations
19.
Ruark, Gregory A., et al.. (1991). Growth Reductions in Naturally Regenerated Southern Pine Stands in Alabama and Georgia. Southern Journal of Applied Forestry. 15(2). 73–79. 16 indexed citations
20.
Alexander, William N. & William A. Bechtold. (1977). Alpha thalassemia minor trait accompanied by clinical oral signs. Oral Surgery Oral Medicine Oral Pathology. 43(6). 892–897. 3 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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