F. D. Panetta

8.1k total citations · 1 hit paper
120 papers, 6.2k citations indexed

About

F. D. Panetta is a scholar working on Insect Science, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, F. D. Panetta has authored 120 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Insect Science, 74 papers in Plant Science and 47 papers in Nature and Landscape Conservation. Recurrent topics in F. D. Panetta's work include Biological Control of Invasive Species (79 papers), Ecology and Vegetation Dynamics Studies (46 papers) and Weed Control and Herbicide Applications (38 papers). F. D. Panetta is often cited by papers focused on Biological Control of Invasive Species (79 papers), Ecology and Vegetation Dynamics Studies (46 papers) and Weed Control and Herbicide Applications (38 papers). F. D. Panetta collaborates with scholars based in Australia, France and United Kingdom. F. D. Panetta's co-authors include David M. Richardson, Petr Pyšek, Marcel Rejmánek, Carol J. West, Michael G. Barbour, R. H. Groves, Rachel McFadyen, J. G. Virtue, S. W. Adkins and S. C. Navie and has published in prestigious journals such as PLoS ONE, Scientific Reports and Ecology Letters.

In The Last Decade

F. D. Panetta

116 papers receiving 5.4k citations

Hit Papers

Naturalization and invasion of alien plants: concepts and... 2000 2026 2008 2017 2000 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. D. Panetta Australia 34 3.2k 3.0k 2.4k 1.9k 1.7k 120 6.2k
Per Milberg Sweden 43 2.8k 0.9× 3.6k 1.2× 2.1k 0.9× 987 0.5× 1.6k 1.0× 164 6.2k
Jaan Liira Estonia 37 2.7k 0.8× 2.3k 0.8× 2.7k 1.1× 1.7k 0.9× 1.6k 0.9× 125 5.6k
Martin Hejda Czechia 22 3.7k 1.2× 2.4k 0.8× 2.4k 1.0× 1.1k 0.6× 2.2k 1.3× 41 6.0k
Mark Williamson United Kingdom 35 3.4k 1.1× 2.5k 0.8× 2.6k 1.1× 1.5k 0.8× 2.8k 1.7× 84 7.3k
E. J. P. Marshall United Kingdom 31 2.5k 0.8× 2.3k 0.8× 1.9k 0.8× 1.2k 0.6× 1.5k 0.9× 115 5.6k
Yvonne M. Buckley Australia 41 2.7k 0.8× 1.6k 0.5× 1.9k 0.8× 1.5k 0.8× 1.8k 1.1× 120 5.4k
Urs Schaffner Switzerland 37 3.8k 1.2× 3.5k 1.2× 2.9k 1.2× 2.3k 1.2× 2.6k 1.5× 156 8.2k
A. W. Sheppard Australia 37 1.8k 0.6× 1.9k 0.6× 1.6k 0.7× 2.1k 1.1× 1.5k 0.9× 155 4.9k
Christoph Scherber Germany 40 2.4k 0.7× 1.6k 0.5× 2.4k 1.0× 1.3k 0.7× 1.7k 1.0× 106 5.6k
Martín A. Núñez Argentina 45 3.6k 1.1× 2.1k 0.7× 2.0k 0.8× 1.4k 0.7× 2.3k 1.4× 169 6.6k

Countries citing papers authored by F. D. Panetta

Since Specialization
Citations

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

Fields of papers citing papers by F. D. Panetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. D. Panetta. 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 F. D. Panetta. The network helps show where F. D. Panetta may publish in the future.

Co-authorship network of co-authors of F. D. Panetta

This figure shows the co-authorship network connecting the top 25 collaborators of F. D. Panetta. A scholar is included among the top collaborators of F. D. Panetta 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 F. D. Panetta. F. D. Panetta 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.
Panetta, F. D., et al.. (2019). Identifying thresholds and ceilings in plant community recovery for optimal management of widespread weeds. NeoBiota. 42. 1–18. 10 indexed citations
2.
Panetta, F. D.. (2015). Weed eradication feasibility: lessons of the 21st century. Weed Research. 55(3). 226–238. 50 indexed citations
3.
Panetta, F. D., et al.. (2011). Predicting the cost of eradication for 41 Class 1 declared weeds in Queensland. Plant protection quarterly. 26(2). 42–46. 14 indexed citations
4.
Gordon, Doria R., Shahin Ansari, Christopher E. Buddenhagen, et al.. (2010). Guidance for addressing the Australian Weed Risk Assessment questions. Plant protection quarterly. 25(2). 56–74. 74 indexed citations
5.
Panetta, F. D., et al.. (2009). Progress towards the eradication of three melastome shrub species from northern Australian rainforests. Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries). 9 indexed citations
6.
Virtue, J. G., et al.. (2008). Predicting weediness - what has the Weeds CRC achieved?. 39–41. 1 indexed citations
7.
Regan, Tracey J., et al.. (2006). Optimal eradication: when to stop looking for an invasive plant. Queensland's institutional digital repository (The University of Queensland). 23 indexed citations
8.
Dewar, A. M., José M. Facelli, Petra Marschner, et al.. (2006). Gorse and broom in the Adelaide Hills: effect of invasive species on soil microbial biomass and nutrients.. 203–206. 1 indexed citations
9.
Hay, George A., José M. Facelli, & F. D. Panetta. (2006). Invasive potential and competitive ability of the Eurasian herb Centaurea solstitialis L.. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 719–722. 2 indexed citations
10.
Navie, S. C., Rachel McFadyen, F. D. Panetta, & S. W. Adkins. (2005). The effect of CO2 enrichment of the growth of a C3 weed (Parthenium hysterophorus L.) and its competitive interaction with a C4 grass (Cenchrus ciliaris L.). Plant protection quarterly. 20(2). 61–66. 24 indexed citations
11.
Groves, R. H., F. D. Panetta, H. S. Jacob, J. Dodd, & J. H. Moore. (2002). Some general principles for weed eradication programs.. 307–310. 12 indexed citations
12.
Groves, R. H., F. D. Panetta, & J. G. Virtue. (2001). Weed risk assessment. CSIRO Publishing eBooks. 159 indexed citations
13.
Panetta, F. D., et al.. (1999). Can we afford to delay action against weeds in valued natural areas. 144–148. 3 indexed citations
14.
Navie, S. C., Rachel McFadyen, F. D. Panetta, & S. W. Adkins. (1996). The biology of Australian weeds. 27. Parthenium hysterophorus L.. Plant protection quarterly. 11(2). 76–88. 148 indexed citations
15.
Anderson, T. Michael & F. D. Panetta. (1995). Fireweed response to boomspray applications of different herbicides and adjuvants.. Plant protection quarterly. 10(4). 152–153. 2 indexed citations
16.
Panetta, F. D., et al.. (1994). The cost of parthenium weed to the Queensland cattle industry.. Plant protection quarterly. 9(2). 73–76. 109 indexed citations
17.
Panetta, F. D. & Neil D. Mitchell. (1991). Bioclimatic prediction of the potential distributions of some weed species prohibited entry to New Zealand. New Zealand Journal of Agricultural Research. 34(3). 341–350. 31 indexed citations
18.
Panetta, F. D., et al.. (1987). The biology of Australian weeds, 16. Chondrilla juncea L. [skeleton weed; gum succory]. 8 indexed citations
19.
Panetta, F. D. & J. Dodd. (1987). The biology of Australian weeds. 16. Chondrilla juncea L.. THE journal. 53(2). 83–95. 14 indexed citations
20.
Panetta, F. D. & J. Dodd. (1987). Bioclimatic prediction of the potential distribution of skeleton weed Chondrillon juncea L. in Western Australia. 53(1). 11–16. 33 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026