GF Maywald

1.4k citations
23 papers · 1.1k · h-index 17

Impact in

Papers in

GF Maywald

23 papers receiving 1.0k citations

Peers

GF Maywald
Comparison fields: 5 of 60
  • Ecological Modeling 233
  • Insect Science 536
  • Parasitology 242
  • Ecology, Evolution, Behavior and Systematics 404
  • Nature and Landscape Conservation 217
Replace A. S. Bourne with:
A. S. Bourne Australia
James R. Reilly United States
Samy Zalat Egypt
Jorge Rabinovich Argentina
Arne C. Nilssen Norway
Sean W. J. Prosser Canada
Iván Castro-Arellano United States
Peter J. Pekins United States
Cláudio José Barros de Carvalho Brazil
Charlotte E. Causton Ecuador
GF Maywald relative to A. S. Bourne Australia A. S. Bourne's profile →
Citations per field
00.5×1.5×2.3×
A. S. Bourne · 1×
Citations per year

Countries citing papers authored by GF Maywald

Since Specialization
Citations

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

Fields of papers citing papers by GF Maywald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside GF Maywald, 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 GF Maywald Line = papers co-authored together GF Maywald links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003250
2 200788
3 198384
4 200473
5 200371
6 198965
7 199063
8 200059
9 198357
10 198357
11 199257
12 199140
13 198339
14 198528
15 198820
16 198819
17 198819
18
Climate-matching for quarantine, using CLIMEX [pest risk assessment]
199115
19 200611
20
Analysis of control strategies for cattle tick on Zebu X British cattle.
19807

About GF Maywald

GF Maywald is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Plant Science, Parasitology and Genetics, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (8 papers), Vector-Borne Animal Diseases (7 papers), Insect-Plant Interactions and Control (6 papers), Insect Pest Control Strategies (6 papers), Species Distribution and Climate Change (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Forensic Entomology and Diptera Studies (3 papers). The work is most often cited by research in Ecological Modeling (233 citations), Insect Science (536 citations), Parasitology (242 citations), Ecology, Evolution, Behavior and Systematics (404 citations) and Nature and Landscape Conservation (217 citations). GF Maywald has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include R. W. Sutherst, Darren J. Kriticos, Steve W. Adkins, Joel R. Brown, RW Sutherst, J. P. Spradbery, J.D. Kerr, R. D. Hughes, A. S. Bourne and G. A. Norton. Their work appears in journals such as Journal of Applied Ecology, Bulletin of Entomological Research, Ecological Modelling, Agriculture Ecosystems & Environment and Australian Veterinary Journal.

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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