Greg S. Biging

2.2k total citations · 1 hit paper
21 papers, 1.8k citations indexed

About

Greg S. Biging is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Environmental Engineering. According to data from OpenAlex, Greg S. Biging has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 10 papers in Nature and Landscape Conservation and 10 papers in Environmental Engineering. Recurrent topics in Greg S. Biging's work include Forest ecology and management (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Greg S. Biging is often cited by papers focused on Forest ecology and management (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Greg S. Biging collaborates with scholars based in United States, South Korea and Canada. Greg S. Biging's co-authors include Peng Gong, Matthias Dobbertin, Qian Yu, Maggi Kelly, Nick Clinton, Lee C. Wensel, Woo‐Kyun Lee, Jun‐Hak Lee, Doo-Ahn Kwak and Liheng Zhong and has published in prestigious journals such as Sensors, International Journal of Remote Sensing and Canadian Journal of Forest Research.

In The Last Decade

Greg S. Biging

21 papers receiving 1.6k citations

Hit Papers

Object-based Detailed Vegetation Classification with Airb... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg S. Biging United States 16 818 753 749 710 364 21 1.8k
Richard G. Oderwald United States 18 584 0.7× 599 0.8× 549 0.7× 468 0.7× 192 0.5× 50 1.5k
Dominique Guyon France 26 927 1.1× 1.3k 1.7× 421 0.6× 631 0.9× 94 0.3× 44 2.1k
Alan R. Ek United States 23 591 0.7× 770 1.0× 1.5k 1.9× 1.5k 2.1× 84 0.2× 107 2.4k
Heather Reese Sweden 20 1.1k 1.4× 983 1.3× 485 0.6× 650 0.9× 166 0.5× 42 1.9k
Hua Sun China 22 741 0.9× 727 1.0× 446 0.6× 484 0.7× 86 0.2× 74 1.3k
Baoxin Hu Canada 23 1.5k 1.8× 1.4k 1.9× 420 0.6× 752 1.1× 376 1.0× 106 2.5k
Gaia Vaglio Laurin Italy 22 1.2k 1.4× 1.4k 1.8× 739 1.0× 484 0.7× 132 0.4× 48 1.9k
Raymond L. Czaplewski United States 17 892 1.1× 547 0.7× 303 0.4× 752 1.1× 211 0.6× 53 1.5k
Britta Allgöwer Switzerland 15 1.1k 1.3× 1.4k 1.8× 813 1.1× 739 1.0× 85 0.2× 35 2.0k
Temuulen Tsagaan Sankey United States 28 1.3k 1.6× 1.1k 1.4× 461 0.6× 1.1k 1.6× 127 0.3× 73 2.4k

Countries citing papers authored by Greg S. Biging

Since Specialization
Citations

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

Fields of papers citing papers by Greg S. Biging

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg S. Biging

This figure shows the co-authorship network connecting the top 25 collaborators of Greg S. Biging. A scholar is included among the top collaborators of Greg S. Biging 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 Greg S. Biging. Greg S. Biging 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.
Biging, Greg S., et al.. (2012). Impacts of Predicted Sea-Level Rise and Extreme Storm Events on the Transportation Infrastructure in the San Francisco Bay Region. eScholarship (California Digital Library). 9 indexed citations
2.
Zhong, Liheng, Peng Gong, & Greg S. Biging. (2012). Phenology-based Crop Classification Algorithm and its Implications on Agricultural Water Use Assessments in California’s Central Valley. Photogrammetric Engineering & Remote Sensing. 78(8). 799–813. 58 indexed citations
3.
Zhong, Liheng, Tom Hawkins, Greg S. Biging, & Peng Gong. (2011). A phenology-based approach to map crop types in the San Joaquin Valley, California. International Journal of Remote Sensing. 32(22). 7777–7804. 106 indexed citations
4.
Kim, So Ra, Woo‐Kyun Lee, Doo-Ahn Kwak, et al.. (2011). Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery. Sensors. 11(2). 1943–1958. 51 indexed citations
5.
Kwak, Doo-Ahn, Woo‐Kyun Lee, Jun‐Hak Lee, Greg S. Biging, & Peng Gong. (2007). Detection of individual trees and estimation of tree height using LiDAR data. Journal of Forest Research. 12(6). 425–434. 213 indexed citations
6.
Lee, Woo‐Kyun, et al.. (2006). Geostatistical analysis of regional differences in stem taper form of Pinus densiflora in central Korea. Ecological Research. 21(4). 513–525. 14 indexed citations
7.
Xu, Bing, et al.. (2004). Snail Density Prediction for Schistosomiasis Control Using Ikonos and ASTER Images. Photogrammetric Engineering & Remote Sensing. 70(11). 1285–1294. 33 indexed citations
8.
Gong, Peng, et al.. (2000). Technical Note: Use of Digital Surface Model for Hardwood Rangeland Monitoring. Journal of Range Management. 53(6). 622–622. 22 indexed citations
9.
Montero, Javier, et al.. (2000). CLASSIFYING PIXELS BY MEANS OF FUZZY RELATIONS. International Journal of General Systems. 29(4). 605–621. 16 indexed citations
10.
Gong, Peng, Greg S. Biging, Xiaoguang Mei, et al.. (1999). Photo Ecometrics for Forest Inventory. Annals of GIS. 5(1). 9–14. 29 indexed citations
11.
Biging, Greg S., et al.. (1994). The Predictive Models and Procedures Used in the Forest Stand Generator (STAG). Hilgardia. 61(1). 1–36. 8 indexed citations
12.
Biging, Greg S. & Matthias Dobbertin. (1992). A Comparison of Distance-Dependent Competition Measures for Height and Basal Area Growth of Individual Conifer Trees. Forest Science. 38(3). 695–720. 296 indexed citations
13.
Biging, Greg S., Russell G. Congalton, & Edward C. Murphy. (1991). A comparison of photointerpretation and ground measurements of forest structure. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 24 indexed citations
14.
Biging, Greg S. & Lee C. Wensel. (1990). Estimation of crown form for six conifer species of northern California. Canadian Journal of Forest Research. 20(8). 1137–1142. 47 indexed citations
15.
Biging, Greg S. & Lee C. Wensel. (1988). The Effect of Eccentricity on the Estimation of Basal Area and Basal Area Increment of Coniferous Trees. Forest Science. 34(3). 621–633. 32 indexed citations
16.
Biging, Greg S.. (1988). Estimating the accuracy of volume equations using taper equations of stem profile. Canadian Journal of Forest Research. 18(8). 1002–1007. 10 indexed citations
17.
Wensel, Lee C., et al.. (1987). Tree height and diameter growth models for Northern California conifers. Hilgardia. 55(8). 1–20. 50 indexed citations
18.
Biging, Greg S.. (1985). Improved Estimates of Site Index Curves Using a Varying-Parameter Model. Forest Science. 31(1). 248–259. 59 indexed citations
19.
Biging, Greg S. & Lee C. Wensel. (1984). SITE INDEX EQUATIONS FOR YOUNG-GROWTH MIXED CONIFERS OF NORTHERN CALIFORNIA. 5 indexed citations
20.
Biging, Greg S.. (1984). Taper Equations for Second-Growth Mixed Conifers of Northern California. Forest Science. 30(4). 1103–1117. 78 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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