Countries citing papers authored by Fred M. Bourland
Since
Specialization
Citations
This map shows the geographic impact of Fred M. Bourland'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 Fred M. Bourland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred M. Bourland more than expected).
Fields of papers citing papers by Fred M. Bourland
This network shows the impact of papers produced by Fred M. Bourland. 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 Fred M. Bourland. The network helps show where Fred M. Bourland may publish in the future.
Co-authorship network of co-authors of Fred M. Bourland
This figure shows the co-authorship network connecting the top 25 collaborators of Fred M. Bourland.
A scholar is included among the top collaborators of Fred M. Bourland 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 Fred M. Bourland. Fred M. Bourland is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bowman, Daryl T., Fred M. Bourland, & Vasu Kuraparthy. (2016). Measuring Maturity in Cotton Cultivar Trials. The journal of cotton science/Journal of cotton science. 20(1). 40–45.13 indexed citations
9.
Meredith, W. R., Deborah L. Boykin, Fred M. Bourland, et al.. (2012). Genotype × environment interactions over seven years for yield, yield components, fiber quality, and gossypol traits in the regional high quality tests.. The journal of cotton science/Journal of cotton science. 16(3). 160–169.23 indexed citations
10.
Stephenson, Daniel O., et al.. (2011). Effect of Twin-Row Planting Pattern and Plant Density on Cotton Growth, Yield, and Fiber Quality. The journal of cotton science/Journal of cotton science.19 indexed citations
11.
Dowd, Michael K., Deborah L. Boykin, William Meredith, et al.. (2010). Fatty acid profiles of cottonseed genotypes from the national cotton variety trials.. The journal of cotton science/Journal of cotton science. 14(2). 64–73.59 indexed citations
12.
Bourland, Fred M., et al.. (2010). Development and Utility of Q-score for Characterizing Cotton Fiber Quality. The journal of cotton science/Journal of cotton science. 14(2). 53–63.46 indexed citations
13.
Bourland, Fred M., et al.. (2005). Arkansas Cotton Variety Test 2004. Journal of the Arkansas Academy of Science. 38–41.2 indexed citations
14.
Bourland, Fred M., et al.. (2000). On farm validation of COTMAN defoliation rules.. 706–708.6 indexed citations
15.
Oosterhuis, Derrick M., et al.. (2000). Effect of insecticide termination at 250, 350, and 450 heat units on carbon partitioning from upper canopy leaves to the developing boll load.. 1(198). 669–671.2 indexed citations
16.
Oosterhuis, Derrick M., et al.. (2000). Chemical and physical removal of cotton fruit at insecticide termination to improve yields and control boll weevils.. 642–646.1 indexed citations
17.
Lewis, Harlan, et al.. (2000). Cotton yield components and yield stability.. 1. 532–536.29 indexed citations
18.
Bourland, Fred M., et al.. (2000). Inherent biases in the Arkansas cotton variety testing program.. 1. 547–549.4 indexed citations
19.
Maredia, Karim, et al.. (1994). Technique for screening cotton germplasm for resistance to tarnished plant bug, Lygus lineolaris (Palisot de Beauvois).. Southwestern Entomologist. 19(1). 63–70.15 indexed citations
20.
Bourland, Fred M. & C. E. Caviness. (1990). Genetic and biological pest control in cotton and soybean.. 39(3).2 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.