Daniel S. Falster

20.7k citations
72 papers · 12.4k indexed · 6 hit papers · h-index 32

Impact in

Papers in

Daniel S. Falster

71 papers receiving 12.1k citations

Hit Papers

smatr 3– an R package for estimation and inference about allometric lines 2011 · 1.3k citations
1.3k200220262010201850010001.5k2.0k

Peers

Daniel S. Falster
Comparison fields: 5 of 163
  • Nature and Landscape Conservation 7.5k
  • Ecological Modeling 1.3k
  • Ecology, Evolution, Behavior and Systematics 4.6k
  • Global and Planetary Change 4.7k
  • Forestry 430
Replace Michelle R. Leishman with:
Michelle R. Leishman Australia
Helene C. Muller‐Landau United States
Nathan G. Swenson United States
Hans ter Steege Netherlands
Kyle E. Harms United States
Jeannine Cavender‐Bares United States
Cyrille Violle France
Byron B. Lamont Australia
Jess K. Zimmerman Puerto Rico
Peter Poschlod Germany
Daniel S. Falster relative to Michelle R. Leishman Australia Michelle R. Leishman's profile →
Citations per field
00.5×1.5×2.1×
Michelle R. Leishman · 1×
Citations per year

Countries citing papers authored by Daniel S. Falster

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Falster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel S. Falster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel S. Falster Line = papers co-authored together Daniel S. Falster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20242
4 20243
5 20242
6 202325
7 20236
8 20226
9 20227
10 202220
11 20214
12 20219
13 20192
14 2018120
15 201823
16 201812
17 201791
18 201632
19 201441
20
Bivariate line‐fitting methods for allometry
Hit paper breakdown →
20061889

About Daniel S. Falster

Daniel S. Falster is a scholar working on Nature and Landscape Conservation, Ecological Modeling, Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 72 papers that have together received 12.4k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (47 papers), Plant Water Relations and Carbon Dynamics (24 papers), Plant and animal studies (20 papers), Forest ecology and management (16 papers), Species Distribution and Climate Change (14 papers), Marine and fisheries research (6 papers), Fish Ecology and Management Studies (5 papers) and Rangeland and Wildlife Management (5 papers). The work is most often cited by research in Nature and Landscape Conservation (7.5k citations), Ecological Modeling (1.3k citations), Ecology, Evolution, Behavior and Systematics (4.6k citations), Global and Planetary Change (4.7k citations) and Forestry (430 citations). Daniel S. Falster has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Mark Westoby, Ian J. Wright, David I. Warton, Angela T. Moles, Peter A. Vesk, Remko A. Duursma, Sara Taskinen, Jacek Oleksyn, Peter B. Reich and Johannes H. C. Cornelissen. Their work appears in journals such as New Phytologist, Journal of Ecology, Functional Ecology, Global Ecology and Biogeography and Proceedings of the National Academy of Sciences.

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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