D. Neilsen

4.1k total citations
153 papers, 3.2k citations indexed

About

D. Neilsen is a scholar working on Plant Science, Soil Science and Global and Planetary Change. According to data from OpenAlex, D. Neilsen has authored 153 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Plant Science, 42 papers in Soil Science and 22 papers in Global and Planetary Change. Recurrent topics in D. Neilsen's work include Plant Physiology and Cultivation Studies (85 papers), Horticultural and Viticultural Research (63 papers) and Irrigation Practices and Water Management (23 papers). D. Neilsen is often cited by papers focused on Plant Physiology and Cultivation Studies (85 papers), Horticultural and Viticultural Research (63 papers) and Irrigation Practices and Water Management (23 papers). D. Neilsen collaborates with scholars based in Canada, United States and United Kingdom. D. Neilsen's co-authors include G.H. Neilsen, E. J. Hogue, T. Forge, Gerry Neilsen, Bernie J. Zebarth, P. Parchomchuk, Peter Millard, Frank J. Peryea, Stewart Cohen and Bill Taylor and has published in prestigious journals such as Journal of Experimental Botany, Journal of Hydrology and Soil Science Society of America Journal.

In The Last Decade

D. Neilsen

147 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Neilsen Canada 34 2.2k 896 473 256 254 153 3.2k
Massimo Tagliavini Italy 36 2.8k 1.3× 851 0.9× 592 1.3× 307 1.2× 190 0.7× 158 3.6k
Carol Shennan United States 38 2.7k 1.2× 1.3k 1.4× 493 1.0× 151 0.6× 255 1.0× 105 4.3k
Changyan Tian China 31 1.7k 0.8× 698 0.8× 344 0.7× 163 0.6× 444 1.7× 133 3.0k
Gabriella Stefania Scippa Italy 33 1.8k 0.8× 636 0.7× 469 1.0× 494 1.9× 609 2.4× 131 3.2k
Raúl S. Lavado Argentina 35 1.5k 0.7× 1.4k 1.6× 212 0.4× 294 1.1× 141 0.6× 140 3.5k
Cristos Xiloyannis Italy 36 2.8k 1.3× 1.0k 1.1× 1.1k 2.4× 162 0.6× 402 1.6× 164 3.9k
J.A. Poss United States 29 1.6k 0.7× 579 0.6× 322 0.7× 124 0.5× 129 0.5× 57 2.3k
Vı́ctor Hugo Durán Zuazo Spain 31 1.4k 0.7× 1.8k 2.0× 844 1.8× 190 0.7× 106 0.4× 115 3.4k
T.J. Stomph Netherlands 32 2.2k 1.0× 851 0.9× 329 0.7× 136 0.5× 161 0.6× 135 3.5k
M. Gallardo Spain 37 2.5k 1.1× 1.6k 1.8× 853 1.8× 96 0.4× 86 0.3× 117 3.7k

Countries citing papers authored by D. Neilsen

Since Specialization
Citations

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

Fields of papers citing papers by D. Neilsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Neilsen

This figure shows the co-authorship network connecting the top 25 collaborators of D. Neilsen. A scholar is included among the top collaborators of D. Neilsen 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 D. Neilsen. D. Neilsen 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.
Kalcsits, Lee, E. Lötze, Massimo Tagliavini, et al.. (2020). Recent Achievements and New Research Opportunities for Optimizing Macronutrient Availability, Acquisition, and Distribution for Perennial Fruit Crops. Agronomy. 10(11). 1738–1738. 32 indexed citations
3.
Ross, Kelly, Gerry Neilsen, & D. Neilsen. (2018). The Effect of Irrigation Frequency, Phosphorus Fertigation, and Cultivar on Levels of Phenolic Compounds in Sweet Cherries. HortScience. 53(10). 1507–1512. 4 indexed citations
4.
5.
Neilsen, Gerry, D. Neilsen, Frank Kappel, & T. Forge. (2014). Interaction of Irrigation and Soil Management on Sweet Cherry Productivity and Fruit Quality at Different Crop Loads that Simulate Those Occurring by Environmental Extremes. HortScience. 49(2). 215–220. 23 indexed citations
6.
Qian, Budong, Reinder De Jong, Ted Huffman, et al.. (2013). Impact of climate change scenarios on Canadian agroclimatic indices. Canadian Journal of Soil Science. 93(2). 243–259. 27 indexed citations
7.
Cannon, Alex J., D. Neilsen, & Bill Taylor. (2012). Lapse Rate Adjustments of Gridded Surface Temperature Normals in an Area of Complex Terrain: Atmospheric Reanalysis versus Statistical Up-Sampling. ATMOSPHERE-OCEAN. 50(1). 9–16. 6 indexed citations
8.
Hogue, E. J., John A. Cline, Gerry Neilsen, & D. Neilsen. (2010). Growth and Yield Responses to Mulches and Cover Crops under Low Potassium Conditions in Drip-irrigated Apple Orchards on Coarse Soils. HortScience. 45(12). 1866–1871. 23 indexed citations
9.
10.
Neilsen, Gerry, et al.. (2008). Annual Bloom-time Phosphorus Fertigation Affects Soil Phosphorus, Apple Tree Phosphorus Nutrition, Yield, and Fruit Quality. HortScience. 43(3). 885–890. 28 indexed citations
11.
Neilsen, Gerry, Frank Kappel, & D. Neilsen. (2007). Fertigation and Crop Load Affect Yield, Nutrition, and Fruit Quality of ‘Lapins’ Sweet Cherry on Gisela 5 Rootstock. HortScience. 42(6). 1456–1462. 34 indexed citations
12.
Neilsen, G.H. & D. Neilsen. (2006). Strategies for nutrient and water management of high density apple orchards on coarse-textured soils. 27. 4 indexed citations
13.
Neilsen, G.H., E. J. Hogue, D. Neilsen, & Pat Bowen. (2005). Postbloom Humic- and Fulvic-based Zinc Sprays Can Improve Apple Zinc Nutrition. HortScience. 40(1). 205–208. 11 indexed citations
14.
Neilsen, Gerry, Frank Kappel, & D. Neilsen. (2004). Fertigation Method Affects Performance of `Lapins' Sweet Cherry on Gisela 5 Rootstock. HortScience. 39(7). 1716–1721. 12 indexed citations
15.
Neilsen, D., et al.. (2003). Determining the role of N remobilization for growth of apple (Malus domestica Borkh.) trees by measuring xylem‐sap N flux. Journal of Experimental Botany. 54(390). 2121–2131. 41 indexed citations
16.
Neilsen, G.H., E. J. Hogue, T. Forge, & D. Neilsen. (2003). Mulches and Biosolids Affect Vigor, Yield and Leaf Nutrition of Fertigated High Density Apple. HortScience. 38(1). 41–45. 49 indexed citations
17.
Peryea, Frank J., D. Neilsen, & Gerry Neilsen. (2003). Boron Maintenance Sprays for Apple: Early-season Applications and Tank-mixing with Calcium Chloride. HortScience. 38(4). 542–546. 16 indexed citations
18.
Neilsen, D., P. Parchomchuk, G.H. Neilsen, & E. J. Hogue. (1998). Using Soil Solution Monitoring to Determine the Effects of Irrigation Management and Fertigation on Nitrogen Availability in High-density Apple Orchards. Journal of the American Society for Horticultural Science. 123(4). 706–713. 25 indexed citations
19.
Neilsen, Gerry, P. Parchomchuk, M. Meheriuk, & D. Neilsen. (1998). Development and Correction of K-deficiency in Drip-irrigated Apple. HortScience. 33(2). 258–261. 1 indexed citations
20.
Neilsen, D., E. J. Hogue, G.H. Neilsen, & P. Parchomchuk. (1995). Using SPAD-502 Values to Assess the Nitrogen Status of Apple Trees. HortScience. 30(3). 508–512. 80 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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