Malcolm Campbell

1.9k citations
127 papers · 1.1k · h-index 18

Impact in

Papers in

    • Weed Control and Herbicide Applications 10
    • Botany, Ecology, and Taxonomy Studies 8
    • Health disparities and outcomes 15

Malcolm Campbell

106 papers receiving 958 citations

Peers

Malcolm Campbell
Comparison fields: 5 of 145
  • Transportation 113
  • Forestry 63
  • Health 98
  • Nature and Landscape Conservation 109
  • Agronomy and Crop Science 67
Replace David Brown with:
David Brown Australia
Franz Gatzweiler Germany
Marie Piron France
Charles B. Moss United States
Nigel Walford United Kingdom
Anabela Marisa Azul Portugal
H. G. Dikko Nigeria
Frédéric Mertens Brazil
Yiheyis Maru Australia
Tom Brewer Australia
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Citations per field
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Citations per year

Countries citing papers authored by Malcolm Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200792
2 199169
3 201262
4 201749
5 202143
6 199939
7 197336
8 197324
9 201824
10 200323
11 202123
12 202122
13 200021
14 202021
15
Variation in Hypericum perforatum L. (St. John's wort) in New South Wales.
199720
16 198520
17
The biology of Australian weeds. 9. Nassella trichotoma (Nees) Arech.
198218
18 199617
19 200415
20 202115

About Malcolm Campbell

Malcolm Campbell is a scholar working on Plant Science, Health, Insect Science, Demography and Transportation, having authored 127 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biological Control of Invasive Species (17 papers), Health disparities and outcomes (15 papers), Urban Transport and Accessibility (11 papers), Migration, Aging, and Tourism Studies (11 papers), Weed Control and Herbicide Applications (10 papers), Classical Antiquity Studies (8 papers), Pasture and Agricultural Systems (8 papers) and Botany, Ecology, and Taxonomy Studies (8 papers). The work is most often cited by research in Transportation (113 citations), Forestry (63 citations), Health (98 citations), Nature and Landscape Conservation (109 citations) and Agronomy and Crop Science (67 citations). Malcolm Campbell has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Simon Kingham, Lukáš Marek, Matthew Hobbs, Jesse Wiki, Ian A. Southwell, Sheldon Rothblatt, David T. Vere, Dimitris Ballas, Peter Day and Gregory D. Breetzke. Their work appears in journals such as New Zealand Geographer, Health & Place, Australian and New Zealand Journal of Public Health, Weed Research and Labour History.

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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