Gregory E. Frey

1.2k total citations
62 papers, 648 citations indexed

About

Gregory E. Frey is a scholar working on Global and Planetary Change, Economics and Econometrics and Forestry. According to data from OpenAlex, Gregory E. Frey has authored 62 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Global and Planetary Change, 24 papers in Economics and Econometrics and 13 papers in Forestry. Recurrent topics in Gregory E. Frey's work include Forest Management and Policy (46 papers), Economic and Environmental Valuation (24 papers) and Conservation, Biodiversity, and Resource Management (23 papers). Gregory E. Frey is often cited by papers focused on Forest Management and Policy (46 papers), Economic and Environmental Valuation (24 papers) and Conservation, Biodiversity, and Resource Management (23 papers). Gregory E. Frey collaborates with scholars based in United States, China and Argentina. Gregory E. Frey's co-authors include Frederick W. Cubbage, James L. Chamberlain, Michael A. Kilgore, Hugo Enrique Fassola, Anibal Nahuel Alejandro Pachas, D. Evan Mercer, Susan Charnley, J.J. Stukel, Philip K. Hopke and Robert C. Abt and has published in prestigious journals such as Science, The Science of The Total Environment and World Development.

In The Last Decade

Gregory E. Frey

59 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory E. Frey United States 16 403 174 142 74 60 62 648
Sara Namirembe Kenya 13 325 0.8× 73 0.4× 98 0.7× 69 0.9× 31 0.5× 18 553
Lawrence Damnyag Ghana 12 367 0.9× 77 0.4× 92 0.6× 88 1.2× 36 0.6× 26 595
José Gobbi United States 6 199 0.5× 55 0.3× 119 0.8× 34 0.5× 22 0.4× 7 359
Peter A. Dewees United States 15 399 1.0× 169 1.0× 60 0.4× 99 1.3× 68 1.1× 39 664
G.S. Kowero Kenya 10 253 0.6× 163 0.9× 49 0.3× 147 2.0× 49 0.8× 32 579
Neil Byron Australia 10 443 1.1× 55 0.3× 116 0.8× 47 0.6× 45 0.8× 45 655
Valentina Robiglio Cameroon 16 413 1.0× 55 0.3× 108 0.8× 95 1.3× 38 0.6× 23 721
Klaus Droppelmann United States 13 101 0.3× 79 0.5× 90 0.6× 89 1.2× 44 0.7× 19 489
F.D. Babalola Nigeria 12 221 0.5× 65 0.4× 43 0.3× 98 1.3× 31 0.5× 48 463
Kazi Kamrul Islam Bangladesh 13 241 0.6× 67 0.4× 38 0.3× 54 0.7× 32 0.5× 38 544

Countries citing papers authored by Gregory E. Frey

Since Specialization
Citations

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

Fields of papers citing papers by Gregory E. Frey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory E. Frey. 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 Gregory E. Frey. The network helps show where Gregory E. Frey may publish in the future.

Co-authorship network of co-authors of Gregory E. Frey

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory E. Frey. A scholar is included among the top collaborators of Gregory E. Frey 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 Gregory E. Frey. Gregory E. Frey 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.
2.
Kilgore, Michael A., et al.. (2025). An assessment of appraisals for federal and state timber sales in Minnesota, U.S.A.. Forest Science. 71(1). 65–95.
3.
Kilgore, Michael A., et al.. (2025). Factors influencing a forest landowner's choice of incentive program commitment length. Forest Policy and Economics. 177. 103513–103513. 1 indexed citations
4.
Baker, Justin S., Peter V. Caldwell, Katherine L. Martin, et al.. (2025). The potential impact of forest loss on drinking water treatment costs in the southeastern U.S.. Forest Policy and Economics. 179. 103603–103603. 1 indexed citations
5.
Parajuli, Rajan, et al.. (2024). A Qualitative Assessment of Interrelated Impacts of the Coronavirus Disease 2019 Pandemic on the Timber Supply Chain in the Southern United States. Society & Natural Resources. 37(10). 1491–1507. 1 indexed citations
6.
Frey, Gregory E., et al.. (2024). Quantifying the distribution of family forest ownership classifications for US federal income tax. Trees Forests and People. 19. 100756–100756.
7.
Hajjar, Reem, Kathleen McGinley, Susan Charnley, et al.. (2024). Characterizing Community Forests in the United States. Journal of Forestry. 122(3). 273–284. 1 indexed citations
8.
Korhonen, Jaana & Gregory E. Frey. (2023). Forest sector investment in the United States - trends and implications of capital investment and annual expenditure. 2(2). 114–145. 2 indexed citations
9.
Parajuli, Rajan, et al.. (2023). Forest-Based Employment in the Southern United States amidst the COVID-19 Pandemic: A Causal Inference Analysis. Forest Science. 70(1). 23–36. 2 indexed citations
10.
Frey, Gregory E., et al.. (2022). Ownership, Governance, Uses, and Ecosystem Services of Community Forests in the Eastern United States. Forests. 13(10). 1577–1577. 5 indexed citations
11.
Parajuli, Rajan, et al.. (2021). Challenges and opportunities for agroforestry practitioners to participate in state preferential property tax programs for agriculture and forestry. Trees Forests and People. 7. 100176–100176. 5 indexed citations
12.
Munsell, John F., et al.. (2021). Thinning forests or planting fields? Producer preferences for establishing silvopasture. Agroforestry Systems. 96(3). 553–564. 13 indexed citations
13.
Frey, Gregory E., et al.. (2021). Payments for forest-based ecosystem services in the United States: Magnitudes and trends. Ecosystem Services. 52. 101377–101377. 16 indexed citations
14.
Munsell, John F., et al.. (2021). Is livestock producers’ interest in silvopasture related to their operational perspectives or characteristics?. Agroforestry Systems. 96(3). 541–551. 9 indexed citations
15.
McCarter, James B., et al.. (2021). Bioeconomic Assessment of an Alley Cropping Field Trial in North Carolina, U.S.: Tree Density, Timber Production, and Forage Relationships. Sustainability. 13(20). 11465–11465. 1 indexed citations
16.
Frey, Gregory E.. (2020). The Basics of Hardwood-Log Shiitake Mushroom Production and Marketing. VTechWorks (Virginia Tech). 3 indexed citations
17.
Kilgore, Michael A., et al.. (2019). A comparison of participants and non-participants of state forest property tax programs in the United States. Forest Policy and Economics. 102. 10–16. 10 indexed citations
18.
Frey, Gregory E., et al.. (2019). Markets and Market Values of Nontimber Forest Products in the United States: A Review, Synthesis, and Identification of Future Research Needs. Journal of Forestry. 117(6). 613–631. 16 indexed citations
19.
Cubbage, Frederick W., Gustavo Balmelli, Adriana Bussoni, et al.. (2012). Comparing silvopastoral systems and prospects in eight regions of the world. Agroforestry Systems. 86(3). 303–314. 112 indexed citations
20.
Frey, Gregory E., D. Evan Mercer, Frederick W. Cubbage, & Robert C. Abt. (2012). A real options model to assess the role of flexibility in forestry and agroforestry adoption and disadoption in the Lower Mississippi Alluvial Valley. Agricultural Economics. 44(1). 73–91. 23 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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