David Haynes

2.4k citations
73 papers · 1.9k · h-index 20

Impact in

    • Environmental Toxicology and Ecotoxicology
    • Toxic Organic Pollutants Impact
  • Pollution top 2%
    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

David Haynes

69 papers receiving 1.7k citations

Peers

David Haynes
Comparison fields: 5 of 125
  • Health, Toxicology and Mutagenesis 602
  • Pollution 445
  • Oceanography 424
  • Ecology 793
  • Global and Planetary Change 445
Replace P K Krishnakumar with:
P K Krishnakumar Saudi Arabia
Theodore H. DeWitt United States
J. Kevin Summers United States
Md. Shahidul Islam Japan
Wayne R. Munns United States
Oihana Solaun Spain
Óscar Parra Chile
Robert John Morrison Australia
Ursula M. Scharler South Africa
Catriona K. Macleod Australia
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Citations per field
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Citations per year

Countries citing papers authored by David Haynes

Since Specialization
Citations

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

Fields of papers citing papers by David Haynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Haynes, 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 Haynes Line = papers co-authored together David Haynes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000200
2 2000171
3 2000161
4 2003150
5 2010124
6 2009121
7 201183
8 200770
9 200459
10 200158
11 200155
12 200054
13 200453
14 200441
15 200236
16 199936
17 199533
18 201528
19 199928
20
Exposure of Great Barrier Reef inner-shelf reefs to river-borne contaminants
200322

About David Haynes

David Haynes is a scholar working on Health, Toxicology and Mutagenesis, Ecology, Geography, Planning and Development, Signal Processing and Global and Planetary Change, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (10 papers), Coral and Marine Ecosystems Studies (9 papers), Environmental Toxicology and Ecotoxicology (9 papers), Data Management and Algorithms (7 papers), Marine and fisheries research (6 papers), Geographic Information Systems Studies (6 papers), Heavy metals in environment (4 papers) and Mercury impact and mitigation studies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (602 citations), Pollution (445 citations), Oceanography (424 citations), Ecology (793 citations) and Global and Planetary Change (445 citations). David Haynes has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Jochen F. Müller, Steve Carter, Johanna E. Johnson, Jon Brodie, Jane Waterhouse, Michelle J. Devlin, Joelle Prange, Bill Dennison, Peter J. Ralph and Ross Jones. Their work appears in journals such as Marine Pollution Bulletin, Chemosphere, Environmental Pollution, JAMA Network Open and Social Science & Medicine.

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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