Malcolm S. Kennedy

1.3k total citations
36 papers, 837 citations indexed

About

Malcolm S. Kennedy is a scholar working on Ecology, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, Malcolm S. Kennedy has authored 36 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Ecology, 16 papers in Genetics and 8 papers in Nature and Landscape Conservation. Recurrent topics in Malcolm S. Kennedy's work include Wildlife Ecology and Conservation (31 papers), Animal Ecology and Behavior Studies (14 papers) and Human-Animal Interaction Studies (11 papers). Malcolm S. Kennedy is often cited by papers focused on Wildlife Ecology and Conservation (31 papers), Animal Ecology and Behavior Studies (14 papers) and Human-Animal Interaction Studies (11 papers). Malcolm S. Kennedy collaborates with scholars based in Australia, New Zealand and United States. Malcolm S. Kennedy's co-authors include Sarah Legge, Stephen Murphy, Alaric Fisher, Ray D. Lloyd, Stephen Haslett, Roger G. Lentle, Ben L. Phillips, Susan Campbell, Ricky‐John Spencer and Greg Baxter and has published in prestigious journals such as PLoS ONE, Biological Conservation and Journal of Wildlife Management.

In The Last Decade

Malcolm S. Kennedy

35 papers receiving 782 citations

Peers

Malcolm S. Kennedy

ECOLO

NLC

GENET

GPC

EEBS

Mark Keith South Africa

Naomi E. Davis Australia

Brydie M. Hill Australia

Mathieu Garel France

Brian L. Dick United States

Carita M. Bergman Canada

Luigi Remonti Italy

Claudio Prigioni Italy

Bradley J. Bergstrom United States

Hemendra Singh Panwar India

Mark Keith South Africa

Malcolm S. Kennedy

561 ×0.9

ECOLO

136 ×0.6

NLC

115 ×0.6

GENET

116 ×0.8

GPC

122 ×1.2

EEBS

Citations per year, relative to Malcolm S. Kennedy Malcolm S. Kennedy (= 1×) peers Mark Keith

Countries citing papers authored by Malcolm S. Kennedy

Since Specialization

Citations

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

Fields of papers citing papers by Malcolm S. Kennedy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm S. Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm S. Kennedy. A scholar is included among the top collaborators of Malcolm S. Kennedy 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 Malcolm S. Kennedy. Malcolm S. Kennedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Crawford, Heather M., Richard A. Fenske, Geoffrey R. Smith, et al.. (2025). What’s the Best Way to Store Toxic 1080 Baits?. Ecological Management & Restoration. 26(2). 1 indexed citations

Kennedy, Malcolm S., et al.. (2023). The toad less travelled: comparing life histories, ecological niches, and potential habitat of Asian black-spined toads and cane toads. Wildlife Research. 51(1). 1 indexed citations

Stephens, Danielle, et al.. (2023). Stable dingo population structure and purity over 11 years of lethal management. Wildlife Research. 50(12). 980–992. 1 indexed citations

Kennedy, Malcolm S., et al.. (2023). Stuck in the mud: Persistent failure of ‘the science’ to provide reliable information on the ecological roles of Australian dingoes. Biological Conservation. 285. 110234–110234. 4 indexed citations

Dawson, C. E., et al.. (2023). Knowledge and values drive acceptability of lethal control of kangaroos among the Australian public. Biological Conservation. 289. 110416–110416. 3 indexed citations

Brennan, Michael L., Peter Elsworth, Matthew Gentle, et al.. (2022). State‐wide prioritisation of vertebrate pest animals in Queensland, Australia. Ecological Management & Restoration. 23(3). 209–218.

Miller, James C., et al.. (2021). Are canid pest ejectors an effective control tool for wild dogs in an arid rangeland environment?. Wildlife Research. 49(3). 227–236. 3 indexed citations

Kennedy, Malcolm S., et al.. (2021). Responses of dingo (Canis familiaris) populations to landscape-scale baiting. Food Webs. 27. e00195–e00195. 6 indexed citations

Kennedy, Malcolm S., et al.. (2020). Fighting like cats and dogs? Dingoes do not constrain spatial and temporal movements of feral cats. Food Webs. 27. e00173–e00173. 8 indexed citations

10.

Pacioni, Carlo, Malcolm S. Kennedy, & David S. L. Ramsey. (2020). When do predator exclusion fences work best? A spatially explicit modelling approach. Wildlife Research. 48(3). 209–217. 7 indexed citations

11.

Kennedy, Malcolm S., et al.. (2018). Corvid interference with Canid Pest Ejectors in the southern rangelands of Western Australia. Ecological Management & Restoration. 19(2). 169–172. 6 indexed citations

12.

Pacioni, Carlo, Malcolm S. Kennedy, Oliver Berry, Danielle Stephens, & Nathan H. Schumaker. (2017). Spatially-explicit model for assessing wild dog control strategies in Western Australia. Ecological Modelling. 368. 246–256. 13 indexed citations

13.

Lurgi, Miguel, Konstans Wells, Malcolm S. Kennedy, Susan Campbell, & Damien A. Fordham. (2016). A Landscape Approach to Invasive Species Management. PLoS ONE. 11(7). e0160417–e0160417. 24 indexed citations

14.

Spencer, Peter B. S., Jordan O. Hampton, Carlo Pacioni, et al.. (2014). Genetic relationships within social groups influence the application of the Judas technique: A case study with wild dromedary camels. Journal of Wildlife Management. 79(1). 102–111. 14 indexed citations

15.

Kennedy, Malcolm S., Ken Rose, & Gary R. Martin. (2014). Aerially deployed baits in the northern rangelands of Western Australia are available to wild dogs. Wildlife Research. 40(8). 633–638. 2 indexed citations

16.

Forsyth, David M., Andrew P. Woolnough, Euan G. Ritchie, et al.. (2014). A comment on the influence of dingoes on the Australian sheep flock. Australian Veterinary Journal. 92(12). 461–462. 11 indexed citations

17.

Lentle, Roger G., Ian D. Hume, Kevin J. Stafford, et al.. (2005). The temporal organisation of the feeding behaviour of four species of wallaby: examining chronobiological and homeostatic influences. Australian Journal of Zoology. 53(2). 117–129. 3 indexed citations

18.

Lentle, Roger G., Ian D. Hume, K. J. Stafford, et al.. (2004). Temporal aspects of feeding events in tammar ( Macropus eugenii ) and parma ( Macropus parma ) wallabies. I. Food acquisition and oral processing. Australian Journal of Zoology. 52(1). 81–95. 4 indexed citations

19.

Lentle, Roger G., Ian D. Hume, K. J. Stafford, et al.. (2003). Molar progression and tooth wear in tammar ( Macropus eugenii ) and parma ( Macropus parma ) wallabies. Australian Journal of Zoology. 51(2). 137–151. 10 indexed citations

20.

Lentle, Roger G., Kevin J. Stafford, Malcolm S. Kennedy, & Stephen Haslett. (2002). Rheological Properties of Digesta Suggest Little Radial or Axial Mixing in the Forestomach of the Tammar (Macropus eugenii) and the Parma (Macropus parma) Wallaby. Physiological and Biochemical Zoology. 75(6). 572–582. 25 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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