Michael A. Forster

772 total citations
22 papers, 570 citations indexed

About

Michael A. Forster is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, Michael A. Forster has authored 22 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 10 papers in Atmospheric Science and 9 papers in Nature and Landscape Conservation. Recurrent topics in Michael A. Forster's work include Plant Water Relations and Carbon Dynamics (17 papers), Tree-ring climate responses (10 papers) and Forest ecology and management (6 papers). Michael A. Forster is often cited by papers focused on Plant Water Relations and Carbon Dynamics (17 papers), Tree-ring climate responses (10 papers) and Forest ecology and management (6 papers). Michael A. Forster collaborates with scholars based in Australia, China and United States. Michael A. Forster's co-authors include Stephen P. Bonser, Augustine Doronila, Brenton Ladd, David T. Tissue, Craig V. M. Barton, David S. Ellsworth, Remko A. Duursma, Belinda E. Medlyn, Derek Eamus and Jianhua Si and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Annals of Botany.

In The Last Decade

Michael A. Forster

22 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Forster Australia 14 445 224 214 172 77 22 570
Frédéric Dô France 13 401 0.9× 176 0.8× 158 0.7× 172 1.0× 103 1.3× 35 548
Dominik Sperlich Spain 11 457 1.0× 232 1.0× 243 1.1× 196 1.1× 76 1.0× 16 603
Heinz Coners Germany 12 377 0.8× 184 0.8× 167 0.8× 261 1.5× 88 1.1× 22 607
Ava R. Howard United States 6 488 1.1× 207 0.9× 292 1.4× 166 1.0× 31 0.4× 8 546
Takafumi Miyama Japan 15 321 0.7× 157 0.7× 185 0.9× 117 0.7× 54 0.7× 44 557
Mauro Brum Brazil 10 474 1.1× 216 1.0× 160 0.7× 265 1.5× 128 1.7× 19 637
Mitja Ferlan Slovenia 13 270 0.6× 155 0.7× 144 0.7× 118 0.7× 134 1.7× 34 500
David M. Love United States 9 765 1.7× 330 1.5× 352 1.6× 226 1.3× 82 1.1× 11 844
Heidi J. Renninger United States 16 609 1.4× 218 1.0× 173 0.8× 304 1.8× 156 2.0× 51 749
Martina Tomasella Italy 14 489 1.1× 248 1.1× 338 1.6× 205 1.2× 84 1.1× 30 659

Countries citing papers authored by Michael A. Forster

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Forster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Forster. 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 Michael A. Forster. The network helps show where Michael A. Forster may publish in the future.

Co-authorship network of co-authors of Michael A. Forster

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Forster. A scholar is included among the top collaborators of Michael A. Forster 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 Michael A. Forster. Michael A. Forster 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.
Pangle, Luke, et al.. (2025). Ecohydrological response of a forested headwater catchment to a flash drought in the Southeastern U.S. Journal of Hydrology. 652. 132658–132658. 1 indexed citations
2.
Brunetti, Michele, Michele Baliva, Michael A. Forster, et al.. (2022). Modelling Fagus sylvatica stem growth along a wide thermal gradient in Italy by incorporating dendroclimatic classification and land surface phenology metrics. International Journal of Biometeorology. 66(12). 2433–2448. 4 indexed citations
3.
Forster, Michael A., et al.. (2022). Phenology and canopy conductance limit the accuracy of 20 evapotranspiration models in predicting transpiration. Agricultural and Forest Meteorology. 315. 108824–108824. 17 indexed citations
4.
5.
Forster, Michael A., et al.. (2021). The water use and growth response of grapevines to extreme temperature events. Theoretical and Experimental Plant Physiology. 33(3). 187–203. 5 indexed citations
6.
Forster, Michael A.. (2020). The importance of conduction versus convection in heat pulse sap flow methods. Tree Physiology. 40(5). 683–694. 28 indexed citations
7.
Forster, Michael A.. (2019). The Dual Method Approach (DMA) Resolves Measurement Range Limitations of Heat Pulse Velocity Sap Flow Sensors. Forests. 10(1). 46–46. 24 indexed citations
8.
Yu, Tengfei, Qi Feng, Jianhua Si, et al.. (2018). Depressed hydraulic redistribution of roots more by stem refilling than by nocturnal transpiration for Populus euphratica Oliv. in situ measurement. Ecology and Evolution. 8(5). 2607–2616. 37 indexed citations
9.
Zhao, Chunyan, et al.. (2018). Nighttime transpiration of Populus euphratica during different phenophases. Journal of Forestry Research. 30(2). 435–444. 23 indexed citations
10.
Forster, Michael A.. (2017). How Reliable Are Heat Pulse Velocity Methods for Estimating Tree Transpiration?. Forests. 8(9). 350–350. 43 indexed citations
11.
Forster, Michael A.. (2014). How significant is nocturnal sap flow?. Tree Physiology. 34(7). 757–765. 110 indexed citations
12.
Doronila, Augustine & Michael A. Forster. (2013). Performance Measurement Via Sap Flow Monitoring of ThreeEucalyptusSpecies for Mine Site and Dryland Salinity Phytoremediation. International Journal of Phytoremediation. 17(2). 101–108. 26 indexed citations
13.
Forster, Michael A.. (2012). Quantifying water use in a plant–fungal interaction. Fungal ecology. 5(6). 702–709. 8 indexed citations
14.
Duursma, Remko A., Craig V. M. Barton, Derek Eamus, et al.. (2011). Rooting depth explains [CO2] x drought interaction in Eucalyptus saligna. Tree Physiology. 31(9). 922–931. 55 indexed citations
15.
Zeppel, Melanie, James D. Lewis, Belinda E. Medlyn, et al.. (2011). Interactive effects of elevated CO2 and drought on nocturnal water fluxes in Eucalyptus saligna. Tree Physiology. 31(9). 932–944. 45 indexed citations
16.
Bonser, Stephen P., Brenton Ladd, Keyne Monro, Matthew D. Hall, & Michael A. Forster. (2010). The adaptive value of functional and life-history traits across fertility treatments in an annual plant. Annals of Botany. 106(6). 979–988. 25 indexed citations
17.
Forster, Michael A., Brenton Ladd, & Stephen P. Bonser. (2010). Optimal allocation of resources in response to shading and neighbours in the heteroblastic species, Acacia implexa. Annals of Botany. 107(2). 219–228. 22 indexed citations
18.
Forster, Michael A. & Stephen P. Bonser. (2009). Heteroblastic Development and Shade‐avoidance in Response to Blue and Red Light Signals in Acacia implexa. Photochemistry and Photobiology. 85(6). 1375–1383. 13 indexed citations
19.
Forster, Michael A. & Stephen P. Bonser. (2008). Heteroblastic development and the optimal partitioning of traits among contrasting environments in Acacia implexa. Annals of Botany. 103(1). 95–105. 28 indexed citations
20.
Forster, Michael A.. (1985). Environment in Asia. Environmental Policy and Law. 14(2-3). 51–51. 2 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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