David Sharley

19 papers receiving 721 citations

Peers

David Sharley
Comparison fields: 5 of 71
  • Pollution 194
  • Industrial and Manufacturing Engineering 132
  • Insect Science 167
  • Ecology 220
  • Ecology, Evolution, Behavior and Systematics 157
Replace Stefanie L. Whitmire with:
Stefanie L. Whitmire United States
Josefina Garrido Spain
Ram Kumar India
Mohammed A. Dakhil Egypt
Roberto Crosti Italy
Theo Linders Switzerland
Daniel Cluzeau France
Leandro Schlemmer Brasil Brazil
Ariane L. Peralta United States
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Citations per field
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Stefanie L. Whitmire · 1×
Citations per year

Countries citing papers authored by David Sharley

Since Specialization
Citations

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

Fields of papers citing papers by David Sharley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Sharley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Sharley Line = papers co-authored together David Sharley links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2019131
2 2016118
3 200885
4 201084
5 201759
6 200743
7 200440
8 201637
9 201032
10 202425
11 201624
12 200818
13 200717
14 202210
15 20188
16 20175
17
Native grass covercrops can contribute to pest control in vineyards
20091
18 20241
19 20241

About David Sharley

David Sharley is a scholar working on Ecology, Health, Toxicology and Mutagenesis, Insect Science, Pollution and Water Science and Technology, having authored 19 papers that have together received 739 indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (5 papers), Biosensors and Analytical Detection (4 papers), Urban Stormwater Management Solutions (3 papers), Environmental Toxicology and Ecotoxicology (3 papers), Water Quality and Pollution Assessment (2 papers), Freshwater macroinvertebrate diversity and ecology (2 papers), Forest Insect Ecology and Management (2 papers) and Heavy metals in environment (2 papers). The work is most often cited by research in Pollution (194 citations), Industrial and Manufacturing Engineering (132 citations), Insect Science (167 citations), Ecology (220 citations) and Ecology, Evolution, Behavior and Systematics (157 citations). David Sharley has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Vincent Pettigrove, Ary A. Hoffmann, Linda J. Thomson, Kallie Townsend, Hsuan-Cheng Lu, Allyson L. O’Brien, Robin Hale, Katherine J. Jeppe, Stephen Marshall and Y. M. Parsons. Their work appears in journals such as Environmental Pollution, Environmental Science Water Research & Technology, Landscape and Urban Planning, Australasian Journal of Paramedicine and The Science of The Total Environment.

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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