Ryan L. Nadel

407 total citations
23 papers, 323 citations indexed

About

Ryan L. Nadel is a scholar working on Ecology, Insect Science and Nature and Landscape Conservation. According to data from OpenAlex, Ryan L. Nadel has authored 23 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 9 papers in Insect Science and 8 papers in Nature and Landscape Conservation. Recurrent topics in Ryan L. Nadel's work include Forest Insect Ecology and Management (14 papers), Forest Ecology and Biodiversity Studies (5 papers) and Ecology and Vegetation Dynamics Studies (5 papers). Ryan L. Nadel is often cited by papers focused on Forest Insect Ecology and Management (14 papers), Forest Ecology and Biodiversity Studies (5 papers) and Ecology and Vegetation Dynamics Studies (5 papers). Ryan L. Nadel collaborates with scholars based in United States, South Africa and Australia. Ryan L. Nadel's co-authors include Mary C. Scholes, Michael J. Wingfield, Simon A. Lawson, Bernard Slippers, Riyad Ismail, Nitesh Poona, Adriaan van Niekerk, Carlos Frederico Wilcken, Lori G. Eckhardt and George Matusick and has published in prestigious journals such as Agricultural and Forest Meteorology, Canadian Journal of Forest Research and Applied Spectroscopy.

In The Last Decade

Ryan L. Nadel

22 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan L. Nadel United States 10 188 148 133 99 49 23 323
Guofei Fang China 12 314 1.7× 123 0.8× 56 0.4× 199 2.0× 60 1.2× 30 465
Xosé López‐Goldar United States 12 145 0.8× 121 0.8× 121 0.9× 101 1.0× 98 2.0× 17 319
Bernd Panassiti Germany 9 133 0.7× 100 0.7× 35 0.3× 119 1.2× 51 1.0× 20 282
S. Paterson Australia 10 113 0.6× 77 0.5× 96 0.7× 124 1.3× 175 3.6× 14 336
Karolína Resnerová Czechia 11 203 1.1× 185 1.3× 62 0.5× 63 0.6× 49 1.0× 36 337
Giacomo Santoiemma Italy 14 152 0.8× 318 2.1× 136 1.0× 217 2.2× 57 1.2× 40 455
Linda M. Wilson United States 10 116 0.6× 99 0.7× 127 1.0× 151 1.5× 116 2.4× 16 329
Masashi Ohsawa Japan 11 198 1.1× 199 1.3× 66 0.5× 67 0.7× 87 1.8× 20 319
Boris Hrašovec Croatia 11 240 1.3× 227 1.5× 158 1.2× 48 0.5× 45 0.9× 54 345
R. J. Adair Australia 11 98 0.5× 197 1.3× 101 0.8× 130 1.3× 91 1.9× 40 306

Countries citing papers authored by Ryan L. Nadel

Since Specialization
Citations

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

Fields of papers citing papers by Ryan L. Nadel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan L. Nadel. 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 Ryan L. Nadel. The network helps show where Ryan L. Nadel may publish in the future.

Co-authorship network of co-authors of Ryan L. Nadel

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan L. Nadel. A scholar is included among the top collaborators of Ryan L. Nadel 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 Ryan L. Nadel. Ryan L. Nadel 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.
Stokes, Thomas A., et al.. (2023). In-Field Pine Seedling Counting Using End-to-End Deep Learning for Inventory Management. Journal of the ASABE. 66(2). 469–477. 3 indexed citations
2.
3.
South, David B. & Ryan L. Nadel. (2021). Irrigation in pine nurseries. 40–83. 3 indexed citations
4.
Sayer, Mary Anne Sword, Ryan L. Nadel, George Matusick, et al.. (2021). Leptographium terebrantis inoculation and associated crown symptoms and tree mortality in Pinus taeda. Fungal ecology. 51. 101057–101057. 5 indexed citations
5.
Sayer, Mary Anne Sword, et al.. (2020). Physiological response of Pinus taeda L. trees to stem inoculation with Leptographium terebrantis. Trees. 34(4). 869–880. 7 indexed citations
6.
Little, Keith M., et al.. (2018). Quantifying the impact of foliar insects on two Eucalyptus hybrids in Zululand, northern KwaZulu-Natal, South Africa. South African Journal of Plant and Soil. 36(2). 129–135. 1 indexed citations
7.
Nadel, Ryan L., et al.. (2018). Intraspecies variation of maturePinus taedain response to root‐infecting ophiostomatoid fungi. Forest Pathology. 48(3). 8 indexed citations
8.
Nadel, Ryan L., et al.. (2018). Pinus taedaL. response to differential inoculum density ofLeptographium terebrantiscolonized toothpicks. Forest Pathology. 49(1). 5 indexed citations
9.
Nadel, Ryan L., et al.. (2018). Sulfur and lime affect soil pH and nutrients in a sandy Pinus taeda nursery. 12–20. 7 indexed citations
10.
Matusick, George, Ryan L. Nadel, David Walker, Jahangir Hossain, & Lori G. Eckhardt. (2016). Comparative behavior of root pathogens in stems and roots of southeastern Pinus species. Fungal Biology. 120(4). 471–480. 7 indexed citations
11.
Poona, Nitesh, Adriaan van Niekerk, Ryan L. Nadel, & Riyad Ismail. (2016). Random Forest (RF) Wrappers for Waveband Selection and Classification of Hyperspectral Data. Applied Spectroscopy. 70(2). 322–333. 43 indexed citations
12.
Hui, Bin, et al.. (2016). Potential of near infrared spectroscopy to monitor variations in soluble sugars in Loblolly pine seedlings after cold acclimation. Agricultural and Forest Meteorology. 232. 536–542. 9 indexed citations
13.
Light, M.E., et al.. (2014). Effect on nursery and field performance of Pinus patula seedlings after inoculation with Fusarium circinatum. Southern Forests a Journal of Forest Science. 76(3). 125–136. 9 indexed citations
14.
Little, Keith M. & Ryan L. Nadel. (2014). Testing pelargonic acid and pyraflufen-ethyl with glyphosate as alternatives to paraquat dichloride for the preparation of fire-break tracer lines at Underberg, South Africa. Southern Forests a Journal of Forest Science. 76(2). 67–73. 4 indexed citations
15.
Nadel, Ryan L., Michael J. Wingfield, Mary C. Scholes, et al.. (2014). Population dynamics of Thaumastocoris peregrinus in Eucalyptus plantations of South Africa. Journal of Pest Science. 88(1). 97–106. 17 indexed citations
16.
Nadel, Ryan L., Michael J. Wingfield, Mary C. Scholes, Simon A. Lawson, & Bernard Slippers. (2012). The potential for monitoring and control of insect pests in Southern Hemisphere forestry plantations using semiochemicals. Annals of Forest Science. 69(7). 757–767. 19 indexed citations
17.
Nadel, Ryan L., Michael J. Wingfield, Mary C. Scholes, et al.. (2011). Mitochondrial DNA diversity of Cleruchoides noackae (Hymenoptera: Mymaridae): a potential biological control agent for Thaumastocoris peregrinus (Hemiptera: Thaumastocoridae). BioControl. 57(3). 397–404. 18 indexed citations
18.
Allard, G., Yang ZhongQi, Jolanda Roux, et al.. (2009). Global review of forest pests and diseases - A thematic study prepared in the framework of the Global Forest Resources Assessment 2005. Food and Agriculture Organization of the United Nations eBooks. 156. 9 indexed citations
19.
Nadel, Ryan L., Bernard Slippers, Mary C. Scholes, et al.. (2009). DNA bar-coding reveals source and patterns of Thaumastocoris peregrinus invasions in South Africa and South America. Biological Invasions. 12(5). 1067–1077. 74 indexed citations
20.

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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