Gary W. Fowler

541 total citations
34 papers, 409 citations indexed

About

Gary W. Fowler is a scholar working on Nature and Landscape Conservation, Ecology and Environmental Engineering. According to data from OpenAlex, Gary W. Fowler has authored 34 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nature and Landscape Conservation, 8 papers in Ecology and 7 papers in Environmental Engineering. Recurrent topics in Gary W. Fowler's work include Forest ecology and management (15 papers), Forest Insect Ecology and Management (6 papers) and Remote Sensing and LiDAR Applications (4 papers). Gary W. Fowler is often cited by papers focused on Forest ecology and management (15 papers), Forest Insect Ecology and Management (6 papers) and Remote Sensing and LiDAR Applications (4 papers). Gary W. Fowler collaborates with scholars based in United States and Italy. Gary W. Fowler's co-authors include Jessica J. Hellmann, Ann M. Lynch, Deepak Khatry, Eric S. Kasischke, Laura J. Damschroder, Eugene F. Stoermer, Shelly Lensing, Dennis E. Schellhase, Mohy G. Morris and Jon Bryan Burley and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Ecological Applications and Forest Ecology and Management.

In The Last Decade

Gary W. Fowler

25 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary W. Fowler United States 9 182 147 81 69 56 34 409
Steven D. Duke United States 14 232 1.3× 226 1.5× 99 1.2× 38 0.6× 32 0.6× 17 384
Daniel Spring Australia 15 236 1.3× 247 1.7× 157 1.9× 138 2.0× 65 1.2× 28 559
Jeffrey S. Pontius United States 11 145 0.8× 267 1.8× 57 0.7× 10 0.1× 31 0.6× 27 397
Johan Bergstedt Sweden 7 246 1.4× 160 1.1× 151 1.9× 140 2.0× 84 1.5× 10 422
Jonathan C. B. Nesmith United States 10 194 1.1× 203 1.4× 402 5.0× 57 0.8× 58 1.0× 18 513
John S. Stanovick United States 9 188 1.0× 164 1.1× 246 3.0× 57 0.8× 34 0.6× 19 401
François Morneau Canada 13 391 2.1× 182 1.2× 315 3.9× 44 0.6× 55 1.0× 32 599
Maria D. Tchakerian United States 10 114 0.6× 116 0.8× 156 1.9× 90 1.3× 34 0.6× 25 309
Facundo J. Oddi Argentina 12 97 0.5× 87 0.6× 154 1.9× 33 0.5× 43 0.8× 28 289
Julien Béguin Canada 11 241 1.3× 269 1.8× 196 2.4× 92 1.3× 35 0.6× 23 538

Countries citing papers authored by Gary W. Fowler

Since Specialization
Citations

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

Fields of papers citing papers by Gary W. Fowler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary W. Fowler. 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 Gary W. Fowler. The network helps show where Gary W. Fowler may publish in the future.

Co-authorship network of co-authors of Gary W. Fowler

This figure shows the co-authorship network connecting the top 25 collaborators of Gary W. Fowler. A scholar is included among the top collaborators of Gary W. Fowler 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 Gary W. Fowler. Gary W. Fowler 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.
Pearson, C. Mark, Gary W. Fowler, Mark McClure, & Martin Rylance. (2025). Conventional and Unconventional Development Part II: Extrapolation of Unconventional Horizontal Development to Low Permeability Reservoirs. SPE Hydraulic Fracturing Technology Conference and Exhibition. 1 indexed citations
2.
Rylance, Martin, Mark Pearson, Gary W. Fowler, & Mark McClure. (2025). Conventional and Unconventional Developments Part I: What Applies, Where and Why ?. SPE Hydraulic Fracturing Technology Conference and Exhibition. 1 indexed citations
3.
Su, Yue, et al.. (2020). Additive and free‐volume effects on the refractive index of a thiol‐ene polymer network. Journal of Applied Polymer Science. 137(47). 5 indexed citations
4.
Simmons, Gary A. & Gary W. Fowler. (2017). Considerations When Sampling Spruce Budworm Egg Masses on Balsam Fir in the Lake States: Low to Extreme Population Levels. The Great Lakes Entomologist. 17(2). 1 indexed citations
5.
6.
Fowler, Gary W. & John A. Witter. (2017). Accuracy and Precision of Insect Density and Impact Estimates. The Great Lakes Entomologist. 15(2). 2 indexed citations
7.
Lynch, Ann M., Gary W. Fowler, & John A. Witter. (2017). Development of Empirical Models to Rate Spruce-Fir Stands in Michigan's Upper Peninsula for Hazard From the Spruce Budworm (Lepidoptera: Tortricidae): A Case History. The Great Lakes Entomologist. 17(3). 1 indexed citations
8.
9.
Fowler, Gary W. & Ann M. Lynch. (2017). Bibliography of Sequential Sampling Plans in Insect Pest Management Based on Wald's Sequential Probability Ratio Test. The Great Lakes Entomologist. 20(3). 1 indexed citations
10.
Burley, Jon Bryan, et al.. (2001). Soil Based Vegetation Productivity Model for the North Dakota Coal Mining Region. International Journal of Surface Mining Reclamation and Environment. 15(4). 213–234. 7 indexed citations
11.
Schellhase, Dennis E., et al.. (1999). High fever after flexible bronchoscopy and bronchoalveolar lavage in noncritically ill immunocompetent children. Pediatric Pulmonology. 28(2). 139–144. 20 indexed citations
12.
Fowler, Gary W.. (1997). Individual Tree Volume Equations for Red Pine in Michigan. Northern Journal of Applied Forestry. 14(2). 53–58. 8 indexed citations
13.
Khatry, Deepak & Gary W. Fowler. (1996). Estimating diameter at breast height and basal diameter of trees from stump measurements in Nepal's lower temperate broad-leaved forests. Forest Ecology and Management. 81(1-3). 75–84. 23 indexed citations
14.
Khatry, Deepak & Gary W. Fowler. (1996). Prediction models for estimating total heights of trees from diameter at breast height measurements in Nepal's lower temperate broad-leaved forests. Forest Ecology and Management. 84(1-3). 177–186. 5 indexed citations
15.
Kasischke, Eric S. & Gary W. Fowler. (1989). A statistical approach for determining radiometric precisions and accuracies in the calibration of synthetic aperture radar imagery. IEEE Transactions on Geoscience and Remote Sensing. 27(4). 416–427. 16 indexed citations
16.
Fowler, Gary W. & Gary A. Simmons. (1988). What Sampling Unit Should Be Used in Estimating Jack Pine Budworm (Lepidoptera: Tortricidae) Egg Mass Densities?. Journal of Economic Entomology. 81(2). 743–748. 1 indexed citations
17.
Fowler, Gary W. & Laura J. Damschroder. (1988). A Red Pine Bark Factor Equation for Michigan. Northern Journal of Applied Forestry. 5(1). 28–30. 12 indexed citations
18.
Fowler, Gary W. & Ann M. Lynch. (1987). Sampling Plans in Insect Pest Management Based on Wald's Sequential Probability Ratio Test. Environmental Entomology. 16(2). 345–354. 55 indexed citations
19.
Fowler, Gary W.. (1985). The use of Wald's sequential probability ratio test to develop composite three-decision sampling plans. Canadian Journal of Forest Research. 15(2). 326–330. 1 indexed citations
20.
Fowler, Gary W.. (1983). Accuracy of sequential sampling plans based on Wald's sequential probability ratio test. Canadian Journal of Forest Research. 13(6). 1197–1203. 6 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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