DB Lindenmayer

708 citations
15 papers · 587 indexed · h-index 12
Topics
Wildlife Ecology and Conservation (11 papers)Evolution and Paleontology Studies (6 papers)Rangeland and Wildlife Management (4 papers)
Partner nations
Australia

In The Last Decade

DB Lindenmayer

15 papers receiving 525 citations

Peers

DB Lindenmayer
Comparison fields: 5 of 52
  • Ecology 450
  • Nature and Landscape Conservation 225
  • Ecological Modeling 121
  • Global and Planetary Change 109
  • Paleontology 79
Replace Greg Gordon with:
Greg Gordon Australia
Barbara Triggs Australia
B. J. Verts United States
Beatriz de Mello Beisiegel Brazil
Jacob E. Hill United States
Carl‐Gustaf Thulin Sweden
Jaime J. Polop Argentina
Thomas Püttker Brazil
Peter R. Mawson Australia
Robert L. Close Australia
DB Lindenmayer relative to Greg Gordon Australia Greg Gordon's profile →
Citations per field
00.5×1.5×
Greg Gordon · 1×
Citations per year

Countries citing papers authored by DB Lindenmayer

Since Specialization
Citations

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

Fields of papers citing papers by DB Lindenmayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DB Lindenmayer

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1
Australia's Biodiversity and Climate Change: A Strategic Assesment of the Vulnerability of Australia's Biodiversity to Climate Change. Report of the Expert Advisory Committee to the Natural Resources Management Ministerial Council
9
2
An approach for determining wildlife meta-population viability using GIS to couple habitat models and forest resource data
3
3 26
4 36
5 44
6 17
7 19
8 32
9 31
10 148
11 47
12 11
13 7
14 43
15 114

About DB Lindenmayer

DB Lindenmayer is a scholar working on Paleontology, Ecology and Ecological Modeling, having authored 15 papers that have together received 587 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (11 papers), Evolution and Paleontology Studies (6 papers) and Rangeland and Wildlife Management (4 papers). The work is most often cited by research in Ecological Modeling (121 citations), Nature and Landscape Conservation (225 citations) and Ecology (450 citations). DB Lindenmayer has collaborated with scholars based in Australia. Frequent co-authors include RB Cunningham, DM Spratt, MT Tanton, A. P. Smith, A. H. Welsh, Patricia A. Werner, R. L. Kitching, William L. Steffen, Warren F. Musgrave and Mark Stafford‐Smith. Their work appears in journals such as Wildlife Research, Australian Veterinary Journal and Australian Journal of Zoology.

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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