Steven D. Shultz

817 total citations
39 papers, 602 citations indexed

About

Steven D. Shultz is a scholar working on Economics and Econometrics, Global and Planetary Change and General Agricultural and Biological Sciences. According to data from OpenAlex, Steven D. Shultz has authored 39 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Economics and Econometrics, 10 papers in Global and Planetary Change and 6 papers in General Agricultural and Biological Sciences. Recurrent topics in Steven D. Shultz's work include Economic and Environmental Valuation (17 papers), Housing Market and Economics (13 papers) and Flood Risk Assessment and Management (5 papers). Steven D. Shultz is often cited by papers focused on Economic and Environmental Valuation (17 papers), Housing Market and Economics (13 papers) and Flood Risk Assessment and Management (5 papers). Steven D. Shultz collaborates with scholars based in United States, Japan and Tanzania. Steven D. Shultz's co-authors include David A. King, Octavio A. Ramírez, Bruce E. Lindsay, Miguel Cifuentes, Steven J. Taff, Jay A. Leitch, A. E. Luloff, Craig R. Allen, James W. Merchant and Glenn Hyman and has published in prestigious journals such as Water Resources Research, Journal of Allergy and Clinical Immunology and Journal of Wildlife Management.

In The Last Decade

Steven D. Shultz

36 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven D. Shultz United States 13 409 202 91 73 72 39 602
Steven E. Kraft United States 15 276 0.7× 290 1.4× 52 0.6× 161 2.2× 105 1.5× 43 739
Donald M. McLeod United States 13 355 0.9× 325 1.6× 67 0.7× 91 1.2× 64 0.9× 28 658
Tracy A. Boyer United States 13 302 0.7× 191 0.9× 49 0.5× 34 0.5× 110 1.5× 31 584
Sérgio Margulis United States 7 203 0.5× 271 1.3× 94 1.0× 75 1.0× 86 1.2× 20 584
Natasha Landell-Mills United Kingdom 8 337 0.8× 534 2.6× 77 0.8× 64 0.9× 153 2.1× 9 662
Carlos Muñoz‐Piña Mexico 5 279 0.7× 384 1.9× 32 0.4× 47 0.6× 103 1.4× 8 497
Denise Van Regemorter Belgium 14 455 1.1× 136 0.7× 50 0.5× 24 0.3× 43 0.6× 43 768
Ángel Perni Spain 15 251 0.6× 205 1.0× 30 0.3× 111 1.5× 128 1.8× 21 525
I. Porras Tanzania 9 447 1.1× 663 3.3× 111 1.2× 75 1.0× 180 2.5× 20 949
Nesha Beharry-Borg United Kingdom 6 311 0.8× 118 0.6× 66 0.7× 22 0.3× 122 1.7× 7 438

Countries citing papers authored by Steven D. Shultz

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Shultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven D. Shultz. 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 Steven D. Shultz. The network helps show where Steven D. Shultz may publish in the future.

Co-authorship network of co-authors of Steven D. Shultz

This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Shultz. A scholar is included among the top collaborators of Steven D. Shultz 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 Steven D. Shultz. Steven D. Shultz 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.
Shultz, Steven D.. (2018). Housing Depreciation Revisited: Hedonic Price Modeling Versus Assessor Estimates. Journal of Housing Research. 27(1). 45–58. 3 indexed citations
2.
Shultz, Steven D.. (2017). Accuracy ofHAZUSGeneral Building Stock Data. Natural Hazards Review. 18(4). 17 indexed citations
3.
Daines, Michael, et al.. (2011). PAR-2 Activation by Alternaria alternata Proteases Induces Airway Epithelial Cell Activation and Lung Inflammation. Journal of Allergy and Clinical Immunology. 127(2). AB59–AB59. 3 indexed citations
4.
Shultz, Steven D., et al.. (2010). The Implicit Value of Irrigation Through Parcel Level Hedonic Price Modeling. AgEcon Search (University of Minnesota, USA). 3 indexed citations
5.
Shultz, Steven D., et al.. (2010). Hedonic Price Modeling to Value Irrigated Agriculture Across a River Basin. AgEcon Search (University of Minnesota, USA). 9(2). 43–56. 1 indexed citations
6.
Shultz, Steven D., et al.. (2009). Augmenting Housing Sales Data to Improve Hedonic Estimates of Golf Course Frontage. Journal of Real Estate Research. 31(1). 63–80. 12 indexed citations
7.
Shultz, Steven D., et al.. (2009). Augmenting Housing Sales Data to Improve Hedonic Estimates of Golf Course Frontage. Journal of Real Estate Research. 31(1). 63–80. 16 indexed citations
8.
Shultz, Steven D., et al.. (2008). Augmenting Housing Sales Data to Improve Hedonic Estimates of Golf Courses. SSRN Electronic Journal.
9.
Brush, Charles F., et al.. (2006). Modeling The Evolution Of A Regional Aquifer System With The California Central Valley Groundwater-Surface Water Simulation Model (C2VSIM). AGU Fall Meeting Abstracts. 2006. 1 indexed citations
10.
Shultz, Steven D., et al.. (2006). A spatial evaluation of agricultural property tax inequity associated with productivity-based assessments. 3(3). 53–65. 2 indexed citations
11.
Shultz, Steven D.. (2005). Evaluating the Acceptance of Wetland Easement Conservation Offers. Review of Agricultural Economics. 27(2). 259–272. 8 indexed citations
12.
Shultz, Steven D. & David A. King. (2002). The Use of Census Data for Hedonic Price Estimates of Open Space Amenities and Land Use. SSRN Electronic Journal. 7 indexed citations
13.
Shultz, Steven D. & Michael E. Kjelland. (2002). Estimating Watershed Level Flood Damage in the Red River Valley of the North. Natural Hazards Review. 3(1). 4–11. 2 indexed citations
14.
Ramírez, Octavio A. & Steven D. Shultz. (2000). Poisson Count Models to Explain the Adoption of Agricultural and Natural Resource Management Technologies by Small Farmers in Central American Countries. Journal of Agricultural and Applied Economics. 32(1). 21–33. 61 indexed citations
15.
Shultz, Steven D.. (2000). Wetland storage to reduce flood damages in the Red River. 13. 363–366. 2 indexed citations
16.
Shultz, Steven D., et al.. (1998). Opportunities and limitations of contingent valuation surveys to determine national park entrance fees: evidence from Costa Rica. Environment and Development Economics. 3(1). 131–149. 87 indexed citations
17.
Shultz, Steven D., et al.. (1997). Agroforestry and soil conservation: adoption and profitability in El Salvador. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 9(4). 16–17. 12 indexed citations
18.
Shultz, Steven D.. (1993). Open space amenities, land uses, and property values in Tucson: Using a geographic information system to improve hedonic models.. UA Campus Repository (The University of Arizona). 1 indexed citations
19.
Shultz, Steven D., A. E. Luloff, & David A. King. (1991). The Contingent and Hedonic Valuation Methods: Techniques for Valuing a Community's Resources. Community Development Society Journal. 22(2). 33–46. 1 indexed citations
20.
Shultz, Steven D., et al.. (1988). Colouterine fistula and pyometrium treated with percutaneous drainage: A case report. CardioVascular and Interventional Radiology. 11(3). 157–161. 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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