Bernard D. Hill

499 total citations
20 papers, 404 citations indexed

About

Bernard D. Hill is a scholar working on Insect Science, Plant Science and Pollution. According to data from OpenAlex, Bernard D. Hill has authored 20 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Insect Science, 7 papers in Plant Science and 6 papers in Pollution. Recurrent topics in Bernard D. Hill's work include Pesticide and Herbicide Environmental Studies (6 papers), Insect and Pesticide Research (4 papers) and Pesticide Residue Analysis and Safety (4 papers). Bernard D. Hill is often cited by papers focused on Pesticide and Herbicide Environmental Studies (6 papers), Insect and Pesticide Research (4 papers) and Pesticide Residue Analysis and Safety (4 papers). Bernard D. Hill collaborates with scholars based in Canada and United States. Bernard D. Hill's co-authors include G. Bruce Schaalje, David L. Ehret, Tom Helmer, Pamela A. Martin, Douglas J. Forsyth, Dan L. Johnson, Daniel L. Johnson, D. A. Raworth, Héctor A. Cárcamo and David K. Weaver and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Environmental Toxicology and Chemistry and Computers and Electronics in Agriculture.

In The Last Decade

Bernard D. Hill

19 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard D. Hill Canada 13 188 119 89 57 55 20 404
Hilman C. Ratsch United States 9 200 1.1× 163 1.4× 34 0.4× 50 0.9× 33 0.6× 14 353
Elizabeth Carazo Costa Rica 4 187 1.0× 161 1.4× 61 0.7× 93 1.6× 25 0.5× 9 363
Ilse Delcour Belgium 7 160 0.9× 80 0.7× 64 0.7× 40 0.7× 38 0.7× 12 326
Frederick M. Fishel United States 9 146 0.8× 62 0.5× 72 0.8× 45 0.8× 24 0.4× 102 294
Luiz Carlos Luchini Brazil 12 186 1.0× 228 1.9× 42 0.5× 79 1.4× 18 0.3× 37 377
Christophe Calvayrac France 11 177 0.9× 264 2.2× 66 0.7× 52 0.9× 86 1.6× 24 471
Diego Gómez de Barreda Spain 11 186 1.0× 151 1.3× 15 0.2× 65 1.1× 29 0.5× 32 346
Cilia L. Fuentes Colombia 5 94 0.5× 165 1.4× 40 0.4× 74 1.3× 51 0.9× 18 310
Danel B. Vickerman United States 10 237 1.3× 56 0.5× 196 2.2× 89 1.6× 33 0.6× 15 470
Martin Streloke Germany 9 124 0.7× 153 1.3× 71 0.8× 140 2.5× 66 1.2× 22 371

Countries citing papers authored by Bernard D. Hill

Since Specialization
Citations

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

Fields of papers citing papers by Bernard D. Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard D. Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard D. Hill. A scholar is included among the top collaborators of Bernard D. Hill 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 Bernard D. Hill. Bernard D. Hill 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.
Beres, Brian L., Bernard D. Hill, Héctor A. Cárcamo, et al.. (2017). An Artificial Neural Network Model to Predict Wheat Stem Sawfly Cutting in Solid-Stemmed Wheat Cultivars. Canadian Journal of Plant Science. 18 indexed citations
2.
Ehret, David L., et al.. (2011). Neural network modeling of greenhouse tomato yield, growth and water use from automated crop monitoring data. Computers and Electronics in Agriculture. 79(1). 82–89. 68 indexed citations
3.
Hill, Bernard D., Melanie Kalischuk, D. Waterer, et al.. (2011). An Environmental Model Predicting Bacterial Ring Rot Symptom Expression. American Journal of Potato Research. 88(3). 294–301. 6 indexed citations
4.
Beres, Brian L., Héctor A. Cárcamo, David K. Weaver, et al.. (2011). Integrating the building blocks of agronomy and biocontrol into an IPM strategy for wheat stem sawfly. University of Alberta Library. 31 indexed citations
5.
Ehret, David L., et al.. (2007). Artificial neural network modelling to predict cuticle cracking in greenhouse peppers and tomatoes. Computers and Electronics in Agriculture. 61(2). 108–116. 32 indexed citations
6.
Hill, Bernard D., Heinz Roland Weistroffer, & Peter Aiken. (2005). A Dynamic Simulation Comparing Classical and Emergent-Network Models: Organizational Design Implications. Computational and Mathematical Organization Theory. 11(1). 59–85. 1 indexed citations
7.
Donald, David B., et al.. (2004). Mobilization of pesticides on an agricultural landscape flooded by a torrential storm. Environmental Toxicology and Chemistry. 24(1). 2–10. 26 indexed citations
8.
Hill, Bernard D., et al.. (2002). Herbicides in Alberta Rainfall as Affected by Location, Use and Season: 1999 to 2000. Water Quality Research Journal. 37(3). 515–542. 31 indexed citations
9.
Martin, Pamela A., Dan L. Johnson, Douglas J. Forsyth, & Bernard D. Hill. (2000). Effects of two grasshopper control insecticides on food resources and reproductive success of two species of grassland songbirds. Environmental Toxicology and Chemistry. 19(12). 2987–2996. 30 indexed citations
10.
Martin, Pamela A., et al.. (2000). EFFECTS OF TWO GRASSHOPPER CONTROL INSECTICIDES ON FOOD RESOURCES AND REPRODUCTIVE SUCCESS OF TWO SPECIES OF GRASSLAND SONGBIRDS. Environmental Toxicology and Chemistry. 19(12). 2987–2987. 2 indexed citations
11.
Martin, Pamela A., Dan L. Johnson, Douglas J. Forsyth, & Bernard D. Hill. (1998). Indirect effects of the pyrethroid insecticide deltamethrin on reproductive success of chestnut-collared longspurs. Ecotoxicology. 7(2). 89–97. 20 indexed citations
12.
Hill, Bernard D., et al.. (1992). Persistence of deltamethrin in baled alfalfa hay. Journal of Agricultural and Food Chemistry. 40(12). 2493–2496. 1 indexed citations
13.
Hill, Bernard D., et al.. (1991). Dissipation of lambda-Cyhalothrin on fallow vs cropped soil. Journal of Agricultural and Food Chemistry. 39(12). 2282–2284. 16 indexed citations
14.
15.
Hill, Bernard D., et al.. (1989). Dissipation of deltamethrin applied to forage alfalfa. Journal of Agricultural and Food Chemistry. 37(4). 1150–1153. 4 indexed citations
16.
Hill, Bernard D. & Daniel L. Johnson. (1987). Persistence of deltamethrin and its isomers on pasture forage and litter. Journal of Agricultural and Food Chemistry. 35(3). 373–378. 17 indexed citations
17.
Hill, Bernard D. & G. Bruce Schaalje. (1985). A two-compartment model for the dissipation of deltamethrin on soil. Journal of Agricultural and Food Chemistry. 33(5). 1001–1006. 54 indexed citations
18.
Hill, Bernard D., et al.. (1982). Persistence of fenvalerate in alfalfa: effect of growth dilution and heat units on residue half-life. Journal of Agricultural and Food Chemistry. 30(4). 653–657. 13 indexed citations
19.
Hill, Bernard D.. (1981). Persistence and distribution of fenvalerate residues in soil under field and laboratory conditions. Journal of Agricultural and Food Chemistry. 29(1). 107–110. 19 indexed citations
20.
Hill, Bernard D. & E. H. Stobbe. (1974). Use of ultrasonic extraction in the determination of some S-triazine herbicides in soils. Journal of Agricultural and Food Chemistry. 22(6). 1143–1144. 7 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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