Wayne S. Johnson

442 total citations
11 papers, 332 citations indexed

About

Wayne S. Johnson is a scholar working on Nature and Landscape Conservation, Economics and Econometrics and Plant Science. According to data from OpenAlex, Wayne S. Johnson has authored 11 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nature and Landscape Conservation, 3 papers in Economics and Econometrics and 3 papers in Plant Science. Recurrent topics in Wayne S. Johnson's work include Ecology and Vegetation Dynamics Studies (4 papers), Economic and Environmental Valuation (3 papers) and Animal Ecology and Behavior Studies (2 papers). Wayne S. Johnson is often cited by papers focused on Ecology and Vegetation Dynamics Studies (4 papers), Economic and Environmental Valuation (3 papers) and Animal Ecology and Behavior Studies (2 papers). Wayne S. Johnson collaborates with scholars based in United States, New Zealand and Canada. Wayne S. Johnson's co-authors include Mark E. Eiswerth, Thomas R. Harris, J. Scott Shonkwiler, Steve Schoenig, G. Cornelis van Kooten, Alison J. Eagle, H. P. Rasmussen, G. R. Hooper, John R. Zimmerman and Carolyn M. King and has published in prestigious journals such as Biological Invasions, Environmental and Resource Economics and Weed Science.

In The Last Decade

Wayne S. Johnson

10 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne S. Johnson United States 7 157 144 88 80 66 11 332
Wolfgang Büchs Germany 8 94 0.6× 95 0.7× 137 1.6× 155 1.9× 67 1.0× 43 402
William P. Gregg United States 5 129 0.8× 135 0.9× 86 1.0× 55 0.7× 42 0.6× 6 306
Anna Bodil Hald Denmark 9 174 1.1× 151 1.0× 174 2.0× 35 0.4× 38 0.6× 16 423
Richard G. Jefferson United Kingdom 9 153 1.0× 180 1.3× 101 1.1× 27 0.3× 82 1.2× 13 330
Bert Van Gils Belgium 5 101 0.6× 86 0.6× 94 1.1× 26 0.3× 72 1.1× 9 322
Brian A. Mealor United States 12 208 1.3× 208 1.4× 144 1.6× 30 0.4× 127 1.9× 29 378
Richard B. Standiford United States 12 146 0.9× 146 1.0× 168 1.9× 43 0.5× 177 2.7× 49 453
Hsun‐Yi Hsieh United States 4 88 0.6× 122 0.8× 80 0.9× 65 0.8× 89 1.3× 5 321
Paul Gibson‐Roy Australia 12 185 1.2× 227 1.6× 123 1.4× 34 0.4× 79 1.2× 36 402
Nicolas Schermann France 7 85 0.5× 133 0.9× 87 1.0× 76 0.9× 75 1.1× 8 309

Countries citing papers authored by Wayne S. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Wayne S. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne S. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne S. Johnson. A scholar is included among the top collaborators of Wayne S. Johnson 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 Wayne S. Johnson. Wayne S. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Veale, Andrew J., Carolyn M. King, Wayne S. Johnson, & Lara D. Shepherd. (2022). The introduction and diversity of commensal rodents in 19th century Australasia. Biological Invasions. 24(5). 1299–1310. 3 indexed citations
2.
Eagle, Alison J., Mark E. Eiswerth, Wayne S. Johnson, Steve Schoenig, & G. Cornelis van Kooten. (2007). Costs and Losses Imposed on California Ranchers by Yellow Starthistle. Rangeland Ecology & Management. 60(4). 369–377. 35 indexed citations
3.
Eiswerth, Mark E., et al.. (2005). Dynamic Benefit–Cost Analysis for Controlling Perennial Pepperweed (Lepidium latifolium): A Case Study. Weed Technology. 19(2). 237–243. 6 indexed citations
4.
Eiswerth, Mark E., et al.. (2005). Input–output modeling, outdoor recreation, and the economic impacts of weeds. Weed Science. 53(1). 130–137. 40 indexed citations
5.
Eiswerth, Mark E. & Wayne S. Johnson. (2002). Managing Nonindigenous Invasive Species: Insights from Dynamic Analysis. Environmental and Resource Economics. 23(3). 319–342. 141 indexed citations
7.
Johnson, Wayne S., et al.. (1999). The implications of variable or constant expansion rates in invasive weed infestations. Weed Science. 47(1). 62–66. 37 indexed citations
8.
Harris, Thomas R., et al.. (1992). Economic Linkages of the U.S. Greenhouse and Nursery Products Industry. Journal of Environmental Horticulture. 10(1). 4–7. 2 indexed citations
9.
Johnson, Craig, et al.. (1990). Urban and Community Forestry: A Guide for the Interior Western United States. Digital Commons - USU (Utah State University). 3 indexed citations
10.
Johnson, Wayne S., et al.. (1976). 2,2-Dimethoxypropane, a rapid dehydrating agent for scanning electron microscopy. Micron (1969). 7(4). 305–306. 8 indexed citations
11.
Rasmussen, H. P., et al.. (1975). Scanning Electron Microscopy of Trichomes of Cheilanthes (Sinopteridaceae). Brittonia. 27(3). 245–245. 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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