Chris McElhinny

1.9k total citations · 1 hit paper
19 papers, 1.4k citations indexed

About

Chris McElhinny is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology. According to data from OpenAlex, Chris McElhinny has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nature and Landscape Conservation, 10 papers in Global and Planetary Change and 9 papers in Ecology. Recurrent topics in Chris McElhinny's work include Ecology and Vegetation Dynamics Studies (12 papers), Forest ecology and management (6 papers) and Forest Ecology and Biodiversity Studies (6 papers). Chris McElhinny is often cited by papers focused on Ecology and Vegetation Dynamics Studies (12 papers), Forest ecology and management (6 papers) and Forest Ecology and Biodiversity Studies (6 papers). Chris McElhinny collaborates with scholars based in Australia, Germany and Malaysia. Chris McElhinny's co-authors include Phillip B. Gibbons, Cris Brack, Jürgen Bauhus, Jeff T. Wood, David B. Lindenmayer, Adrian D. Manning, Badrul Azhar, Mohamed Zakaria, Joern Fischer and Philip Gibbons and has published in prestigious journals such as Biological Conservation, Forest Ecology and Management and Ecological Indicators.

In The Last Decade

Chris McElhinny

19 papers receiving 1.3k citations

Hit Papers

Forest and woodland stand structural complexity: Its defi... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris McElhinny Australia 14 842 772 640 415 251 19 1.4k
Ángela Taboada Spain 22 592 0.7× 643 0.8× 644 1.0× 454 1.1× 104 0.4× 47 1.3k
Anne Oxbrough United Kingdom 16 634 0.8× 643 0.8× 469 0.7× 528 1.3× 83 0.3× 36 1.4k
Hervé Jactel France 2 557 0.7× 650 0.8× 328 0.5× 247 0.6× 100 0.4× 6 1.2k
Nicolas Meurisse New Zealand 11 549 0.7× 703 0.9× 581 0.9× 479 1.2× 84 0.3× 21 1.5k
Peter Spathelf Brazil 14 977 1.2× 985 1.3× 237 0.4× 374 0.9× 112 0.4× 40 1.5k
John M. Kabrick United States 26 1.4k 1.7× 1.2k 1.6× 745 1.2× 357 0.9× 111 0.4× 129 2.0k
Larry Burrows New Zealand 17 701 0.8× 423 0.5× 517 0.8× 197 0.5× 116 0.5× 27 1.2k
Steven L. Garman United States 18 615 0.7× 606 0.8× 546 0.9× 161 0.4× 184 0.7× 36 1.2k
Dean Rae Berg United States 5 980 1.2× 932 1.2× 466 0.7× 625 1.5× 146 0.6× 5 1.5k
Steve Jennings United Kingdom 10 576 0.7× 407 0.5× 458 0.7× 113 0.3× 285 1.1× 18 1.1k

Countries citing papers authored by Chris McElhinny

Since Specialization
Citations

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

Fields of papers citing papers by Chris McElhinny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris McElhinny. 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 Chris McElhinny. The network helps show where Chris McElhinny may publish in the future.

Co-authorship network of co-authors of Chris McElhinny

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

All Works

19 of 19 papers shown
1.
Sohn, Julia A., et al.. (2013). A simplified inventory approach for estimating carbon in coarse woody debris in high-biomass forests. Papers and proceedings of the Royal Society of Tasmania. 147. 15–24. 4 indexed citations
2.
Azhar, Badrul, David B. Lindenmayer, Jeff T. Wood, et al.. (2013). The influence of agricultural system, stand structural complexity and landscape context on foraging birds in oil palm landscapes. Ibis. 155(2). 297–312. 82 indexed citations
3.
McElhinny, Chris, et al.. (2012). The effect of gap size on growth and species composition of 15-year-old regrowth in mixed blackbutt forests. Australian Forestry. 75(1). 3–15. 9 indexed citations
4.
McElhinny, Chris, et al.. (2012). Shrubby today but not tomorrow? Structure, composition and regeneration dynamics of direct seeded revegetation. Ecological Management & Restoration. 13(3). 282–289. 19 indexed citations
5.
Azhar, Badrul, David B. Lindenmayer, Jeff T. Wood, et al.. (2012). Contribution of illegal hunting, culling of pest species, road accidents and feral dogs to biodiversity loss in established oil-palm landscapes. Wildlife Research. 40(1). 1–9. 44 indexed citations
6.
Azhar, Badrul, David B. Lindenmayer, Jeff T. Wood, et al.. (2011). The conservation value of oil palm plantation estates, smallholdings and logged peat swamp forest for birds. Forest Ecology and Management. 262(12). 2306–2315. 132 indexed citations
8.
9.
Gibbons, Philip, Chris McElhinny, & David B. Lindenmayer. (2010). What strategies are effective for perpetuating structures provided by old trees in harvested forests? A case study on trees with hollows in south-eastern Australia. Forest Ecology and Management. 260(6). 975–982. 44 indexed citations
10.
Brookhouse, Matthew, Cris Brack, & Chris McElhinny. (2010). The distance to structural complement (DiSCo) approach for expressing forest structure described by Aerial Photograph Interpretation data sets. Forest Ecology and Management. 260(7). 1230–1240. 3 indexed citations
11.
12.
McElhinny, Chris, et al.. (2009). Variation in litter under individual tree crowns: Implications for scattered tree ecosystems. Austral Ecology. 35(1). 87–95. 18 indexed citations
13.
Gibbons, Phillip B., et al.. (2008). An operational method to assess impacts of land clearing on terrestrial biodiversity. Ecological Indicators. 9(1). 26–40. 70 indexed citations
14.
Gibbons, Philip, Sue Briggs, Julian Seddon, et al.. (2008). Rapidly quantifying reference conditions in modified landscapes. Biological Conservation. 141(10). 2483–2493. 71 indexed citations
15.
Tabor, John, et al.. (2007). Colonisation of clearfelled coupes by rainforest tree species from mature mixed forest edges, Tasmania, Australia. Forest Ecology and Management. 240(1-3). 13–23. 39 indexed citations
16.
McElhinny, Chris, Phillip B. Gibbons, Cris Brack, & Jürgen Bauhus. (2006). Fauna-habitat relationships: a basis for identifying key stand structural attributes in temperate Australian eucalypt forests and woodlands. Pacific Conservation Biology. 12(2). 89–110. 98 indexed citations
17.
McElhinny, Chris, Phillip B. Gibbons, & Cris Brack. (2006). An objective and quantitative methodology for constructing an index of stand structural complexity. Forest Ecology and Management. 235(1-3). 54–71. 92 indexed citations
18.
McElhinny, Chris, Phillip B. Gibbons, Cris Brack, & Jürgen Bauhus. (2005). Forest and woodland stand structural complexity: Its definition and measurement. Forest Ecology and Management. 218(1-3). 1–24. 652 indexed citations breakdown →
19.
Bauhus, Jürgen, et al.. (2000). The effect of seed trees on regrowth development in a mixed-species eucalypt forest. Australian Forestry. 63(4). 293–296. 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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