J. D. Booker

1.3k total citations
31 papers, 1.0k citations indexed

About

J. D. Booker is a scholar working on Soil Science, Plant Science and Global and Planetary Change. According to data from OpenAlex, J. D. Booker has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Soil Science, 19 papers in Plant Science and 7 papers in Global and Planetary Change. Recurrent topics in J. D. Booker's work include Irrigation Practices and Water Management (11 papers), Soil Carbon and Nitrogen Dynamics (10 papers) and Research in Cotton Cultivation (9 papers). J. D. Booker is often cited by papers focused on Irrigation Practices and Water Management (11 papers), Soil Carbon and Nitrogen Dynamics (10 papers) and Research in Cotton Cultivation (9 papers). J. D. Booker collaborates with scholars based in United States, Germany and Brazil. J. D. Booker's co-authors include K. F. Bronson, Robert J. Lascano, J. Wayne Keeling, Teresita T. Chua, Verónica Acosta‐Martínez, Ted M. Zobeck, L. T. Wilson, Eduardo Segarra, R. Scott Van Pelt and A. B. Onken and has published in prestigious journals such as Soil Science Society of America Journal, Soil and Tillage Research and Agronomy Journal.

In The Last Decade

J. D. Booker

28 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. D. Booker United States 18 559 485 256 237 150 31 1.0k
Daniel S. Munk United States 15 809 1.4× 393 0.8× 129 0.5× 168 0.7× 209 1.4× 37 1.1k
Narendra Kumar Lenka India 20 858 1.5× 500 1.0× 165 0.6× 137 0.6× 207 1.4× 54 1.3k
José Eduardo Corá Brazil 20 769 1.4× 453 0.9× 106 0.4× 267 1.1× 119 0.8× 57 1.1k
Michel C. Nolin Canada 19 571 1.0× 645 1.3× 228 0.9× 297 1.3× 360 2.4× 54 1.3k
A. Moulin Canada 18 461 0.8× 296 0.6× 207 0.8× 127 0.5× 155 1.0× 32 847
K. P. R. Vittal India 16 844 1.5× 452 0.9× 152 0.6× 93 0.4× 205 1.4× 44 1.1k
Kathryn Page Australia 17 715 1.3× 249 0.5× 294 1.1× 158 0.7× 188 1.3× 25 1.0k
Tekalign Mamo Ethiopia 15 708 1.3× 358 0.7× 109 0.4× 192 0.8× 153 1.0× 25 1.1k
Brigid Amos United States 8 423 0.8× 349 0.7× 218 0.9× 96 0.4× 208 1.4× 11 912
Elke Noellemeyer Argentina 19 620 1.1× 252 0.5× 183 0.7× 92 0.4× 193 1.3× 42 1.1k

Countries citing papers authored by J. D. Booker

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Booker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. D. Booker

This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Booker. A scholar is included among the top collaborators of J. D. Booker 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 J. D. Booker. J. D. Booker 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.
Segarra, Eduardo, Man Yu, Hong Li, et al.. (2016). Technological Efficiency Gains in Irrigated Cotton Production. 17. 72–86.
2.
Segarra, Eduardo, Robert J. Lascano, & J. D. Booker. (2016). Economic Impacts of Precision Farming in Irrigated Cotton Production. 16. 1–14.
3.
Lascano, Robert J., et al.. (2016). The Stem Heat Balance Method to Measure Transpiration: Evaluation of a New Sensor. Agricultural Sciences. 7(9). 604–620. 17 indexed citations
4.
Lascano, Robert J., et al.. (2014). Field Measurement of Cotton Seedling Evapotranspiration. Agricultural Sciences. 5(13). 1237–1252. 4 indexed citations
5.
Booker, J. D., Robert J. Lascano, Steven R. Evett, & Richard E. Zartman. (2014). Evaluation of a Landscape‐Scale Approach to Cotton Modeling. Agronomy Journal. 106(6). 2263–2279. 5 indexed citations
6.
Acosta‐Martínez, Verónica, Robert J. Lascano, Francisco Calderón, et al.. (2011). Dryland cropping systems influence the microbial biomass and enzyme activities in a semiarid sandy soil. Biology and Fertility of Soils. 47(6). 655–667. 69 indexed citations
7.
Acosta‐Martínez, Verónica, Scot E. Dowd, Colin Bell, et al.. (2010). Microbial Community Composition as Affected by Dryland Cropping Systems and Tillage in a Semiarid Sandy Soil. Diversity. 2(6). 910–931. 65 indexed citations
8.
Bronson, K. F., et al.. (2009). Residual soil nitrate in irrigated Southern High Plains cotton fields and Ogallala groundwater nitrate. Journal of Soil and Water Conservation. 64(2). 98–104. 21 indexed citations
9.
Booker, J. D., et al.. (2007). Nitrogen and Phosphorus Fertilizer and Residual Response in Cotton–Sorghum and Cotton–Cotton Sequences. Agronomy Journal. 99(3). 607–613. 19 indexed citations
10.
Bronson, K. F., J. D. Booker, James P. Bordovsky, et al.. (2006). Site‐Specific Irrigation and Nitrogen Management for Cotton Production in the Southern High Plains. Agronomy Journal. 98(1). 212–219. 43 indexed citations
11.
Chilcutt, Charles F., L. T. Wilson, Robert J. Lascano, K. F. Bronson, & J. D. Booker. (2005). Scaling and the Effects of Plant, Soil, and Landscape Characteristics on Sap-Feeding Herbivores in Cotton. Environmental Entomology. 34(1). 75–86. 8 indexed citations
12.
Bronson, K. F., Calvin Trostle, A. M. Schubert, & J. D. Booker. (2004). Leaf Nutrients and Yields of Irrigated Peanut in the Southern High Plains: Influence of Nitrogen, Phosphorus, and Zinc Fertilizer. Communications in Soil Science and Plant Analysis. 35(7-8). 1095–1110. 3 indexed citations
13.
Bronson, K. F., A. M. Schubert, Calvin Trostle, et al.. (2003). Landscape-scale spatial characterization of soil properties and peanut yield.. 1431–1440. 3 indexed citations
14.
Bronson, K. F., Teresita T. Chua, J. D. Booker, J. Wayne Keeling, & Robert J. Lascano. (2003). In‐Season Nitrogen Status Sensing in Irrigated Cotton. Soil Science Society of America Journal. 67(5). 1439–1448. 71 indexed citations
15.
Bronson, K. F., J. Wayne Keeling, J. D. Booker, et al.. (2003). Influence of Landscape Position, Soil Series, and Phosphorus Fertilizer on Cotton Lint Yield. Agronomy Journal. 95(4). 949–949. 8 indexed citations
16.
Bronson, K. F., J. Wayne Keeling, J. D. Booker, et al.. (2003). Influence of Landscape Position, Soil Series, and Phosphorus Fertilizer on Cotton Lint Yield. Agronomy Journal. 95(4). 949–957. 30 indexed citations
17.
Segarra, Eduardo, Robert J. Lascano, James P. Bordovsky, et al.. (2003). Division S-4- Soil Fertility and Plant Nutrition. ThinkTech (Texas Tech University). 6 indexed citations
18.
Li, Hong, Robert J. Lascano, J. D. Booker, et al.. (2002). State‐Space Description of Field Heterogeneity. Soil Science Society of America Journal. 66(2). 585–595. 44 indexed citations
19.
Li, Hong, Robert J. Lascano, J. D. Booker, et al.. (2002). State-Space Description of Field Heterogeneity. Soil Science Society of America Journal. 66(2). 585–585. 12 indexed citations
20.
Bronson, K. F., Robert J. Lascano, J. D. Booker, et al.. (2000). Grid soil sampling: comparisons of grid size with landscape- and soil texture-based sampling strategies in the Southern Plains.. 2000. 1–16. 1 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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