D. Mummery

484 total citations
9 papers, 393 citations indexed

About

D. Mummery is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, D. Mummery has authored 9 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nature and Landscape Conservation, 8 papers in Global and Planetary Change and 3 papers in Atmospheric Science. Recurrent topics in D. Mummery's work include Forest ecology and management (8 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Tree-ring climate responses (3 papers). D. Mummery is often cited by papers focused on Forest ecology and management (8 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Tree-ring climate responses (3 papers). D. Mummery collaborates with scholars based in Australia. D. Mummery's co-authors include Michael Battaglia, Peter Sands, Donald White, F. D. Podger, Mark J. F. Brown, C. L. Beadle, C. R. A. Turnbull, Ross McLeod, Michael Battaglia and David A. Ratkowsky and has published in prestigious journals such as Forest Ecology and Management, Ecological Modelling and Tree Physiology.

In The Last Decade

D. Mummery

9 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
D. Mummery 270 236 95 61 54 9 393
Venceslas Goudiaby 223 0.8× 185 0.8× 86 0.9× 63 1.0× 35 0.6× 17 366
J. Kinal 229 0.8× 144 0.6× 97 1.0× 82 1.3× 53 1.0× 10 378
N. P. Baduni 231 0.9× 327 1.4× 50 0.5× 74 1.2× 41 0.8× 10 441
Craig Baillie 232 0.9× 213 0.9× 83 0.9× 124 2.0× 42 0.8× 14 443
GEMMA WOLDENDORP 232 0.9× 151 0.6× 72 0.8× 104 1.7× 66 1.2× 8 410
Jody Bruce 202 0.7× 154 0.7× 68 0.7× 75 1.2× 24 0.4× 19 321
Marcus Guderle 162 0.6× 128 0.5× 50 0.5× 80 1.3× 82 1.5× 10 302
Elisabeth Pötzelsberger 350 1.3× 297 1.3× 111 1.2× 99 1.6× 33 0.6× 17 536
Gary N. Ogden 228 0.8× 172 0.7× 110 1.2× 161 2.6× 108 2.0× 15 453
Giuliano Menguzzato 231 0.9× 157 0.7× 61 0.6× 75 1.2× 41 0.8× 50 395

Countries citing papers authored by D. Mummery

Since Specialization
Citations

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

Fields of papers citing papers by D. Mummery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Mummery

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

All Works

9 of 9 papers shown
1.
Mummery, D. & Michael Battaglia. (2004). Significance of rainfall distribution in predicting eucalypt plantation growth, management options, and risk assessment using the process-based model CABALA. Forest Ecology and Management. 193(1-2). 283–296. 17 indexed citations
2.
Battaglia, Michael, Peter Sands, Donald White, & D. Mummery. (2004). CABALA: a linked carbon, water and nitrogen model of forest growth for silvicultural decision support. Forest Ecology and Management. 193(1-2). 251–282. 177 indexed citations
3.
Battaglia, Michael, D. Mummery, & Adam Smith. (2002). Economic analysis of site survey and productivity modelling for the selection of plantation areas. Forest Ecology and Management. 162(2-3). 185–195. 4 indexed citations
4.
Mummery, D. & Michael Battaglia. (2002). Data input quality and resolution effects on regional and local scale Eucalyptus globulus productivity predictions in north-east Tasmania. Ecological Modelling. 156(1). 13–25. 13 indexed citations
5.
Mummery, D. & Michael Battaglia. (2001). Applying PROMOD spatially across Tasmania with sensitivity analysis to screen for prospective Eucalyptus globulus plantation sites. Forest Ecology and Management. 140(1). 51–63. 21 indexed citations
6.
Sands, Peter, Michael Battaglia, & D. Mummery. (2000). Application of process-based models to forest management: experience with PROMOD, a simple plantation productivity model. Tree Physiology. 20(5-6). 383–392. 68 indexed citations
7.
Mummery, D., Michael Battaglia, C. L. Beadle, C. R. A. Turnbull, & Ross McLeod. (1999). An application of terrain and environmental modelling in a large-scale forestry experiment. Forest Ecology and Management. 118(1-3). 149–159. 21 indexed citations
8.
Turnbull, C. R. A., et al.. (1993). Comparative early growth ofEucalyptusspecies of the subgeneraMonocalyptusandSymphyomyrtusin intensively-managed plantations in southern Tasmania. Australian Forestry. 56(3). 276–286. 20 indexed citations
9.
Podger, F. D., et al.. (1990). Bioclimatic analysis of the distribution of damage to native plants in Tasmania by Phytophthora cinnamomi. Australian Journal of Ecology. 15(3). 281–289. 52 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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