GF Maywald

1.4k total citations
23 papers, 1.1k citations indexed

About

GF Maywald is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, GF Maywald has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Insect Science, 9 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Plant Science. Recurrent topics in GF Maywald's work include Vector-borne infectious diseases (8 papers), Vector-Borne Animal Diseases (7 papers) and Insect Pest Control Strategies (6 papers). GF Maywald is often cited by papers focused on Vector-borne infectious diseases (8 papers), Vector-Borne Animal Diseases (7 papers) and Insect Pest Control Strategies (6 papers). GF Maywald collaborates with scholars based in Australia, United States and Ireland. GF Maywald's co-authors include R. W. Sutherst, Darren J. Kriticos, Steve W. Adkins, Joel R. Brown, RW Sutherst, J. P. Spradbery, J.D. Kerr, A. S. Bourne, R. D. Hughes and G. A. Norton and has published in prestigious journals such as Global Change Biology, Journal of Applied Ecology and Agriculture Ecosystems & Environment.

In The Last Decade

GF Maywald

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
GF Maywald Australia 17 536 404 365 289 242 23 1.1k
Jorge Rabinovich Argentina 25 1.0k 1.9× 263 0.7× 254 0.7× 203 0.7× 233 1.0× 89 2.0k
A. S. Bourne Australia 16 391 0.7× 254 0.6× 238 0.7× 197 0.7× 281 1.2× 29 821
James R. Reilly United States 16 563 1.1× 764 1.9× 375 1.0× 284 1.0× 68 0.3× 31 1.4k
Samy Zalat Egypt 15 205 0.4× 341 0.8× 131 0.4× 250 0.9× 125 0.5× 69 828
Arne C. Nilssen Norway 20 536 1.0× 383 0.9× 129 0.4× 827 2.9× 87 0.4× 51 1.3k
Todd Livdahl United States 20 396 0.7× 247 0.6× 347 1.0× 208 0.7× 45 0.2× 38 1.2k
George F. O’Meara United States 23 539 1.0× 259 0.6× 456 1.2× 128 0.4× 95 0.4× 54 1.9k
Charlotte E. Causton Ecuador 17 415 0.8× 401 1.0× 92 0.3× 407 1.4× 278 1.1× 49 1.0k
Sean W. J. Prosser Canada 23 423 0.8× 526 1.3× 211 0.6× 931 3.2× 85 0.4× 42 1.8k
Lincoln Suesdek Brazil 24 406 0.8× 166 0.4× 155 0.4× 188 0.7× 96 0.4× 60 1.5k

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-authorship network of co-authors of GF Maywald

This figure shows the co-authorship network connecting the top 25 collaborators of GF Maywald. A scholar is included among the top collaborators of GF Maywald 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 GF Maywald. GF Maywald 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.
Sutherst, R. W., A. S. Bourne, GF Maywald, & GW Seifert. (2006). Prevalence, severity, and heritability of Stephanofilaria lesions on cattle in central and southern Queensland, Australia. Australian Journal of Agricultural Research. 57(7). 743–750. 11 indexed citations
2.
Yonow, Tania, Myron P. Zalucki, R. W. Sutherst, et al.. (2004). Modelling the population dynamics of the Queensland fruit fly, Bactrocera (Dacus) tryoni: a cohort-based approach incorporating the effects of weather. Ecological Modelling. 173(1). 9–30. 73 indexed citations
3.
Sutherst, R. W., et al.. (2004). Use of CLIMEX in pest risk analysis for quarantine.. 4 indexed citations
4.
Kriticos, Darren J., R. W. Sutherst, Joel R. Brown, Steve W. Adkins, & GF Maywald. (2003). Climate change and the potential distribution of an invasive alien plant: Acacia nilotica ssp. indica in Australia. Journal of Applied Ecology. 40(1). 111–124. 250 indexed citations
5.
Sutherst, R. W., et al.. (2000). Estimating vulnerability under global change: modular modelling of pests. Agriculture Ecosystems & Environment. 82(1-3). 303–319. 59 indexed citations
6.
Kriticos, Darren J., James R. Brown, GF Maywald, R. W. Sutherst, & S. W. Adkins. (1999). A population model of Acacia nilotica: a tool for exploring weed management and the effects of climate change.. Queensland's institutional digital repository (The University of Queensland). 2. 870–872. 3 indexed citations
7.
Spradbery, J. P. & GF Maywald. (1992). The Distribution of the European or German Wasp, Vespula-Germanica (F) (Hymenoptera, Vespidae), in Australia - Past, Present and Future. Australian Journal of Zoology. 40(5). 495–495. 57 indexed citations
8.
Sutherst, R. W. & GF Maywald. (1991). Climate-matching for quarantine, using CLIMEX [pest risk assessment]. Plant protection quarterly. 15 indexed citations
9.
Sutherst, R. W., et al.. (1991). From CLIMEX to PESKY, a generic expert system for pest risk assessment1. EPPO Bulletin. 21(3). 595–608. 40 indexed citations
10.
11.
Sutherst, R. W., J. P. Spradbery, & GF Maywald. (1989). The potential geographical distribution of the Old World screw‐worm fly, Chrysomya bezziana. Medical and Veterinary Entomology. 3(3). 273–280. 65 indexed citations
12.
Sutherst, RW, et al.. (1988). Ecology of the cattle tick ( Boophilus microplus ) in subtropical Australia. II. Resistance of different breeds of cattle. Australian Journal of Agricultural Research. 39(2). 299–308. 19 indexed citations
13.
Sutherst, RW, et al.. (1988). Ecology of the cattle tick ( Boophilus microplus ) in subtropical Australia. III. Modelling populations on different breeds of cattle. Australian Journal of Agricultural Research. 39(2). 309–318. 19 indexed citations
14.
Sutherst, R. W., et al.. (1985). The southward spread of buffalo fly (Haematobia irritans exigua) in eastern Australia and its survival through a severe winter. Australian Veterinary Journal. 62(11). 367–369. 28 indexed citations
15.
Norton, G. A., R. W. Sutherst, & GF Maywald. (1983). A Framework for Integrating Control Methods Against the Cattle Tick, Boophilus microplus in Australia. Journal of Applied Ecology. 20(2). 489–489. 57 indexed citations
16.
Sutherst, RW, et al.. (1983). The effect of season and nutrition on the resistance of cattle to the tick Boophilus microplus. Australian Journal of Agricultural Research. 34(3). 329–339. 57 indexed citations
17.
Utech, K. B. W., et al.. (1983). A model of the survival of larvae of the cattle tick, Boophilus microplus , on pasture. Australian Journal of Agricultural Research. 34(1). 63–72. 39 indexed citations
18.
Sutherst, RW, et al.. (1983). The effect of cattle tick ( Boophilus microplus ) on the growth of Bos indicus × B. taurus steers. Australian Journal of Agricultural Research. 34(3). 317–327. 84 indexed citations
19.
Sutherst, R. W., et al.. (1980). The value of host resistance against cattle tick (Boophilus microplus) in Australia.. 408–415. 3 indexed citations
20.
Sutherst, R. W., G. A. Norton, GF Maywald, L. A. Y. Johnston, & M. G. Cooper. (1980). Analysis of control strategies for cattle tick on Zebu X British cattle.. 46–51. 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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