George R. Parsons

5.6k total citations · 2 hit papers
65 papers, 3.7k citations indexed

About

George R. Parsons is a scholar working on Economics and Econometrics, Marketing and Transportation. According to data from OpenAlex, George R. Parsons has authored 65 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Economics and Econometrics, 16 papers in Marketing and 16 papers in Transportation. Recurrent topics in George R. Parsons's work include Economic and Environmental Valuation (49 papers), Consumer Market Behavior and Pricing (14 papers) and Housing Market and Economics (12 papers). George R. Parsons is often cited by papers focused on Economic and Environmental Valuation (49 papers), Consumer Market Behavior and Pricing (14 papers) and Housing Market and Economics (12 papers). George R. Parsons collaborates with scholars based in United States, China and Taiwan. George R. Parsons's co-authors include Daniel W. Bromley, Michael K. Hidrue, Willett Kempton, Meryl P. Gardner, Mary Jo Kealy, Joshua M. Duke, Allison Borchers, Brett Hauber, William H. Desvousges and Michael C. Naughton and has published in prestigious journals such as PLoS ONE, Water Resources Research and Applied Energy.

In The Last Decade

George R. Parsons

63 papers receiving 3.2k citations

Hit Papers

Willingness to pay for electric vehicles ... 1995 2026 2005 2015 2011 1995 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George R. Parsons United States 28 1.7k 982 730 669 641 65 3.7k
Colin Vance Germany 26 1.1k 0.6× 368 0.4× 824 1.1× 357 0.5× 774 1.2× 159 3.0k
Matthew J. Kotchen United States 29 2.1k 1.2× 378 0.4× 970 1.3× 742 1.1× 483 0.8× 81 4.4k
William F. Lamb Germany 30 1.9k 1.1× 399 0.4× 1.3k 1.7× 1.1k 1.6× 1.7k 2.6× 56 5.9k
Thomas Sterner Sweden 41 4.0k 2.3× 260 0.3× 2.4k 3.2× 456 0.7× 1.1k 1.8× 176 6.3k
Petri Tapio Finland 28 1.0k 0.6× 116 0.1× 465 0.6× 612 0.9× 571 0.9× 67 3.1k
Valentina Bosetti Italy 45 3.7k 2.2× 484 0.5× 1.7k 2.3× 689 1.0× 1.1k 1.7× 183 5.7k
Kevin Anderson United Kingdom 27 1.1k 0.6× 229 0.2× 782 1.1× 686 1.0× 1.2k 1.9× 72 3.3k
Matthew E. Kahn United States 34 2.7k 1.6× 141 0.1× 467 0.6× 1.3k 1.9× 420 0.7× 116 4.8k
Andreas Löschel Germany 39 3.0k 1.7× 375 0.4× 1.8k 2.4× 574 0.9× 400 0.6× 198 4.7k
Steffen Kallbekken Norway 23 1.2k 0.7× 172 0.2× 660 0.9× 581 0.9× 361 0.6× 77 2.5k

Countries citing papers authored by George R. Parsons

Since Specialization
Citations

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

Fields of papers citing papers by George R. Parsons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George R. Parsons. 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 George R. Parsons. The network helps show where George R. Parsons may publish in the future.

Co-authorship network of co-authors of George R. Parsons

This figure shows the co-authorship network connecting the top 25 collaborators of George R. Parsons. A scholar is included among the top collaborators of George R. Parsons 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 George R. Parsons. George R. Parsons 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.
Parsons, George R., W.Y. Liu, & Tatheer Zahra. (2025). A novel wind turbine fault diagnosis model based on pre-trained YOLOv8 deep transfer learning. Engineering Research Express. 7(2). 25285–25285. 1 indexed citations
2.
Parsons, George R., et al.. (2024). A recreation demand model for warmwater fishing in Delaware with welfare effects for improvements in catch rates, species diversity, and water clarity. Agricultural and Resource Economics Review. 53(2). 209–227.
3.
Boyle, Kevin, et al.. (2023). COVID-19 and visitation to Central Park, New York City. PLoS ONE. 18(9). e0290713–e0290713. 3 indexed citations
4.
Parsons, George R., et al.. (2020). The Effect of Offshore Wind Power Projects on Recreational Beach Use: A Contingent-Behavior Study on the East Coast of the United States. Energy Policy. 144. 3 indexed citations
5.
Parsons, George R. & Jeremy Firestone. (2018). Atlantic Offshore Wind Energy Development: Values and Implications for Recreation and Tourism. 8 indexed citations
6.
Carr, Edward W., et al.. (2017). Modeling the Economic Value of Blue Carbon in Delaware Estuary Wetlands: Historic Estimates and Future Projections. Journal of Environmental Management. 206. 40–50. 27 indexed citations
7.
Parsons, George R., et al.. (2014). Valuing Continuously Varying Visual Disamenities: Offshore Energy Production and Delaware Beach Visitation. 1 indexed citations
8.
Parsons, George R., et al.. (2011). Valuing the Visual Disamenity of Offshore Wind Projects at Varying Distances from the Shore. Land Economics. 87(2). 14 indexed citations
9.
Parsons, George R., et al.. (2010). Measuring the Recreational Use Value of Migratory Shorebirds: A Stated Preference Study of Birdwatching on the Delaware Bay. Marine Resource Economics. 25(4). 283–5. 2 indexed citations
10.
Parsons, George R., et al.. (2010). COMPENSATORY RESTORATION IN A RANDOM UTILITY MODEL OF RECREATION DEMAND. Contemporary Economic Policy. 28(4). 453–463. 8 indexed citations
11.
Abrams, Burton A. & George R. Parsons. (2009). Is CARS a Clunker?. The Economists Voice. 6(8). 11 indexed citations
12.
Parsons, George R., et al.. (2009). Temporal Stability of Recreation Choices. AgEcon Search (University of Minnesota, USA). 1 indexed citations
13.
Haefen, Roger H. von, Daniel J. Phaneuf, & George R. Parsons. (2004). Estimation and Welfare Analysis With Large Demand Systems. Journal of Business and Economic Statistics. 22(2). 194–205. 57 indexed citations
14.
Parsons, George R., et al.. (2003). A comparison of nourishment and retreat costs on Delaware's Ocean Beaches. 71(1). 23–26. 1 indexed citations
15.
Parsons, George R. & Brett Hauber. (2000). The Effect of Nesting Structure Specification on WelfareEstimation in a Random Utility Model of Recreation Demand: An Application to the Demand for Recreational Fishing. SSRN Electronic Journal. 1 indexed citations
16.
Hauber, Brett & George R. Parsons. (2000). The Effect of Nesting Structure Specification on Welfare Estimation in a Random Utility Model of Recreation Demand: An Application to the Demand for Recreational Fishing. American Journal of Agricultural Economics. 82(3). 501–514. 21 indexed citations
17.
Parsons, George R., et al.. (1999). A Comparison of Welfare Estimates from Four Models for Linking Seasonal Recreational Trips to Multinomial Logit Models of Site Choice. Journal of Environmental Economics and Management. 38(2). 143–157. 60 indexed citations
18.
Parsons, George R., et al.. (1999). Familiar and Favorite Sites in a Random Utility Model of Beach Recreation. Marine Resource Economics. 14(4). 299–315. 89 indexed citations
19.
Parsons, George R.. (1991). A Note on Choice of Residential Location in Travel Cost Demand Models. Land Economics. 67(3). 360–360. 37 indexed citations
20.
Parsons, George R. & Yangru Wu. (1991). The Opportunity Cost of Coastal Land-Use Controls: An Empirical Analysis. Land Economics. 67(3). 308–308. 34 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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