Jeffrey T. Wood

417 total citations
10 papers, 328 citations indexed

About

Jeffrey T. Wood is a scholar working on Nature and Landscape Conservation, Ecology and Global and Planetary Change. According to data from OpenAlex, Jeffrey T. Wood has authored 10 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nature and Landscape Conservation, 7 papers in Ecology and 2 papers in Global and Planetary Change. Recurrent topics in Jeffrey T. Wood's work include Ecology and Vegetation Dynamics Studies (7 papers), Wildlife Ecology and Conservation (6 papers) and Animal Ecology and Behavior Studies (2 papers). Jeffrey T. Wood is often cited by papers focused on Ecology and Vegetation Dynamics Studies (7 papers), Wildlife Ecology and Conservation (6 papers) and Animal Ecology and Behavior Studies (2 papers). Jeffrey T. Wood collaborates with scholars based in Australia, Ireland and Spain. Jeffrey T. Wood's co-authors include David B. Lindenmayer, Christopher R. Tidemann, Adrian D. Manning, Philip Gibbons, Laura Rayner, Adrian J. Gibbs, Damian Michael, J. Scott Armstrong, Kazusato Ohshima and Fernando García‐Arenal and has published in prestigious journals such as PLoS ONE, Journal of Applied Ecology and Molecular Phylogenetics and Evolution.

In The Last Decade

Jeffrey T. Wood

10 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey T. Wood Australia 9 214 142 92 70 52 10 328
Christopher E. Latimer United States 10 140 0.7× 88 0.6× 87 0.9× 86 1.2× 14 0.3× 15 269
Joan L. Morrison United States 13 388 1.8× 139 1.0× 82 0.9× 66 0.9× 24 0.5× 38 501
Jean Fantle‐Lepczyk United States 8 182 0.9× 84 0.6× 57 0.6× 44 0.6× 40 0.8× 15 299
Eleanor S. Devenish‐Nelson United Kingdom 8 136 0.6× 106 0.7× 130 1.4× 76 1.1× 22 0.4× 17 319
Brian F. Wakeling United States 8 242 1.1× 90 0.6× 80 0.9× 93 1.3× 18 0.3× 19 352
Marina Kipson Czechia 7 301 1.4× 156 1.1× 142 1.5× 68 1.0× 32 0.6× 7 435
Joana Ribeiro Portugal 11 157 0.7× 110 0.8× 85 0.9× 97 1.4× 16 0.3× 22 308
Rafał Martyka Poland 11 220 1.0× 82 0.6× 43 0.5× 42 0.6× 24 0.5× 29 303
Mariana Fernández-Olalla Spain 10 243 1.1× 98 0.7× 59 0.6× 61 0.9× 12 0.2× 13 285
Darío Navarrete‐Gutiérrez Mexico 11 86 0.4× 67 0.5× 52 0.6× 66 0.9× 21 0.4× 34 282

Countries citing papers authored by Jeffrey T. Wood

Since Specialization
Citations

This map shows the geographic impact of Jeffrey T. Wood'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 Jeffrey T. Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey T. Wood more than expected).

Fields of papers citing papers by Jeffrey T. Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey T. Wood. 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 Jeffrey T. Wood. The network helps show where Jeffrey T. Wood may publish in the future.

Co-authorship network of co-authors of Jeffrey T. Wood

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

All Works

10 of 10 papers shown
1.
Barton, Philip S., et al.. (2018). Contrasting effects of mosaic structure on alpha and beta diversity of bird assemblages in a human‐modified landscape. Ecography. 42(1). 173–186. 11 indexed citations
2.
Michael, Damian, et al.. (2017). The importance of travelling stock reserves for maintaining high-quality threatened temperate woodlands. Australian Journal of Botany. 65(7). 507–516. 7 indexed citations
3.
Gibbs, Adrian J., Jeffrey T. Wood, Fernando García‐Arenal, Kazusato Ohshima, & J. Scott Armstrong. (2015). Tobamoviruses have probably co-diverged with their eudicotyledonous hosts for at least 110 million years. Virus Evolution. 1(1). vev019–vev019. 37 indexed citations
4.
Rayner, Laura, David B. Lindenmayer, Jeffrey T. Wood, Philip Gibbons, & Adrian D. Manning. (2013). Are protected areas maintaining bird diversity?. Ecography. 37(1). 43–53. 64 indexed citations
6.
Tidemann, Christopher R., et al.. (2013). Understanding basic species population dynamics for effective control: a case study on community-led culling of the common myna (Acridotheres tristis). Biological Invasions. 16(7). 1427–1440. 29 indexed citations
7.
Michael, Damian, Jeffrey T. Wood, Mason Crane, Rebecca Montague‐Drake, & David B. Lindenmayer. (2013). How effective are agri‐environment schemes for protecting and improving herpetofaunal diversity in Australian endangered woodland ecosystems?. Journal of Applied Ecology. 51(2). 494–504. 35 indexed citations
9.
Tidemann, Christopher R., et al.. (2012). Is It Benign or Is It a Pariah? Empirical Evidence for the Impact of the Common Myna (Acridotheres tristis) on Australian Birds. PLoS ONE. 7(7). e40622–e40622. 65 indexed citations
10.
Fourment, Mathieu, Jeffrey T. Wood, Adrian J. Gibbs, & Mark J. Gibbs. (2010). Evolutionary dynamics of the N1 neuraminidases of the main lineages of influenza A viruses. Molecular Phylogenetics and Evolution. 56(2). 526–535. 13 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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