Joanne M. Monks

1.2k total citations
54 papers, 647 citations indexed

About

Joanne M. Monks is a scholar working on Ecology, Ecological Modeling and Global and Planetary Change. According to data from OpenAlex, Joanne M. Monks has authored 54 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Ecology, 29 papers in Ecological Modeling and 21 papers in Global and Planetary Change. Recurrent topics in Joanne M. Monks's work include Wildlife Ecology and Conservation (32 papers), Species Distribution and Climate Change (29 papers) and Amphibian and Reptile Biology (20 papers). Joanne M. Monks is often cited by papers focused on Wildlife Ecology and Conservation (32 papers), Species Distribution and Climate Change (29 papers) and Amphibian and Reptile Biology (20 papers). Joanne M. Monks collaborates with scholars based in New Zealand, Australia and United States. Joanne M. Monks's co-authors include Colin F.J. O’Donnell, Nicola J. Nelson, Adrian Monks, Andrew J. Tanentzap, Nicola J. Mitchell, Kristine L. Grayson, Susan N. Keall, Alison Cree, Scott Jarvie and David R. Towns and has published in prestigious journals such as PLoS ONE, New Phytologist and Biological Conservation.

In The Last Decade

Joanne M. Monks

48 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanne M. Monks New Zealand 14 384 217 200 194 192 54 647
Michael J. L. Peers Canada 16 508 1.3× 247 1.1× 152 0.8× 150 0.8× 106 0.6× 40 730
Brian R. Hudgens United States 13 445 1.2× 250 1.2× 359 1.8× 218 1.1× 180 0.9× 30 756
Laura Cardador Spain 20 565 1.5× 235 1.1× 364 1.8× 153 0.8× 168 0.9× 36 792
Riccardo Scalerà Italy 13 425 1.1× 181 0.8× 242 1.2× 126 0.6× 186 1.0× 25 670
Miguel Ángel Martínez‐Morales Mexico 13 264 0.7× 186 0.9× 162 0.8× 156 0.8× 96 0.5× 35 470
Joy Coppes Germany 14 467 1.2× 317 1.5× 227 1.1× 134 0.7× 134 0.7× 29 732
Marcos Pérsio Dantas Santos Brazil 14 278 0.7× 186 0.9× 292 1.5× 143 0.7× 120 0.6× 52 556
Rick D. Scherer United States 15 354 0.9× 311 1.4× 221 1.1× 182 0.9× 510 2.7× 37 707
Sean T. Giery United States 16 347 0.9× 119 0.5× 215 1.1× 226 1.2× 250 1.3× 42 715
Richard J. Camp United States 19 675 1.8× 302 1.4× 259 1.3× 205 1.1× 149 0.8× 82 995

Countries citing papers authored by Joanne M. Monks

Since Specialization
Citations

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

Fields of papers citing papers by Joanne M. Monks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanne M. Monks. 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 Joanne M. Monks. The network helps show where Joanne M. Monks may publish in the future.

Co-authorship network of co-authors of Joanne M. Monks

This figure shows the co-authorship network connecting the top 25 collaborators of Joanne M. Monks. A scholar is included among the top collaborators of Joanne M. Monks 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 Joanne M. Monks. Joanne M. Monks 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.
Monks, Joanne M., Anne A. Besson, & Colin F.J. O’Donnell. (2023). Landscape scale control of selected mammalian predators fails to protect lizards. Biological Invasions. 26(1). 107–118. 3 indexed citations
2.
Cree, Alison, et al.. (2023). Trail cameras enhance understanding of lizard behaviour in a remote alpine environment. New Zealand Journal of Ecology.
3.
Young, Jim, et al.. (2022). Comparison of footprint tracking and pitfall trapping for detecting skinks. New Zealand Journal of Ecology. 2 indexed citations
4.
Jarvie, Scott, Travis Ingram, David G. Chapple, et al.. (2022). Variable vulnerability to climate change in New Zealand lizards. Journal of Biogeography. 49(2). 431–442. 8 indexed citations
5.
Monks, Joanne M., et al.. (2022). Testing Drones as a Tool for Surveying Lizards. Drones. 6(8). 199–199. 7 indexed citations
6.
Cree, Alison, et al.. (2021). Thermal heterogeneity of selected retreats in cool-temperate viviparous lizards suggests a potential benefit of future climate warming. Journal of Thermal Biology. 97. 102869–102869. 12 indexed citations
7.
Monks, Joanne M., et al.. (2020). Heat and water loss vs shelter: a dilemma in thermoregulatory decision-making for a retreat-dwelling nocturnal gecko. Journal of Experimental Biology. 223(Pt 20). 12 indexed citations
8.
Seddon, Philip J., et al.. (2020). Stable isotope analysis reveals variable diets of stoats (Mustela erminea) in the alpine zone of New Zealand. New Zealand Journal of Ecology. 44(2). 6 indexed citations
9.
Jewell, Tony, et al.. (2019). Ecology of orange-spotted geckos (Mokopirirakau “Roys Peak”) in Central Otago and Queenstown-Lakes district. New Zealand Journal of Ecology. 43(2). 3 indexed citations
10.
11.
Nelson, Nicola J., James V. Briskie, Rochelle Constantine, et al.. (2018). The winners: species that have benefited from 30 years of conservation action. Journal of the Royal Society of New Zealand. 49(3). 281–300. 11 indexed citations
12.
O’Donnell, Colin F.J., et al.. (2017). Impacts of introduced mammalian predators on New Zealand’s alpine fauna. New Zealand Journal of Ecology. 1–22. 53 indexed citations
13.
Lettink, Marieke & Joanne M. Monks. (2016). Survey and monitoring methods for New Zealand lizards. Journal of the Royal Society of New Zealand. 46(1). 16–28. 15 indexed citations
14.
Cree, Alison, et al.. (2016). Short‐term success of a translocation of Otago skinks ( Oligosoma otagense ) to Orokonui Ecosanctuary. New Zealand Journal of Zoology. 43(2). 211–220. 4 indexed citations
15.
Monks, Joanne M., et al.. (2016). Current challenges and future directions in lizard conservation in New Zealand. Journal of the Royal Society of New Zealand. 46(1). 29–39. 14 indexed citations
16.
Monks, Joanne M., et al.. (2016). Developing indices of relative abundance for monitoring cave and ground wētā (Orthoptera) in southern beech forest, New Zealand. New Zealand Journal of Zoology. 43(2). 149–162. 3 indexed citations
17.
Clapperton, B. Kay, et al.. (2015). Impacts of introduced mammalian predators on indigenous birds of freshwater wetlands in New Zealand.. New Zealand Journal of Ecology. 39(1). 19–33. 22 indexed citations
18.
Jarvie, Scott & Joanne M. Monks. (2014). Step on it: can footprints from tracking tunnels be used to identify lizard species?. New Zealand Journal of Zoology. 41(3). 210–217. 9 indexed citations
19.
Curran, Timothy J., Ellen Cieraad, & Joanne M. Monks. (2013). Fostering the next generation of reviewers in New Zealand ecology. New Zealand Journal of Ecology. 37(2). 161. 2 indexed citations
20.
Nelson, Nicola J., et al.. (2013). Forest geckos ( Mokopirirakau ‘Southern North Island’) display diurno‐nocturnal activity and are not reliant on retreats. New Zealand Journal of Zoology. 41(2). 103–113. 6 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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