Brian S. Baltunis

721 total citations
22 papers, 594 citations indexed

About

Brian S. Baltunis is a scholar working on Nature and Landscape Conservation, Plant Science and Building and Construction. According to data from OpenAlex, Brian S. Baltunis has authored 22 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nature and Landscape Conservation, 10 papers in Plant Science and 5 papers in Building and Construction. Recurrent topics in Brian S. Baltunis's work include Forest ecology and management (15 papers), Seedling growth and survival studies (9 papers) and Plant Physiology and Cultivation Studies (5 papers). Brian S. Baltunis is often cited by papers focused on Forest ecology and management (15 papers), Seedling growth and survival studies (9 papers) and Plant Physiology and Cultivation Studies (5 papers). Brian S. Baltunis collaborates with scholars based in Australia, United States and New Zealand. Brian S. Baltunis's co-authors include Harry X. Wu, Washington J. Gapare, Dudley A. Huber, Mike B. Powell, Miloš Ivković, Jeremy Brawner, Timothy L. White, Barry Goldfarb, Michael S. Greenwood and T. J. Mullin and has published in prestigious journals such as Tree Physiology, Canadian Journal of Forest Research and Annals of Forest Science.

In The Last Decade

Brian S. Baltunis

22 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian S. Baltunis Australia 15 408 190 142 130 117 22 594
K. J. S. Jayawickrama United States 14 383 0.9× 133 0.7× 106 0.7× 129 1.0× 87 0.7× 36 555
Anders Fries Sweden 17 397 1.0× 181 1.0× 213 1.5× 176 1.4× 82 0.7× 36 677
R. D. Burdon New Zealand 16 593 1.5× 294 1.5× 198 1.4× 187 1.4× 169 1.4× 54 914
Miloš Ivković Australia 14 396 1.0× 127 0.7× 181 1.3× 163 1.3× 80 0.7× 33 537
Peter Volker Australia 15 381 0.9× 227 1.2× 136 1.0× 107 0.8× 98 0.8× 31 647
Michael Henson Australia 15 238 0.6× 176 0.9× 101 0.7× 80 0.6× 76 0.6× 33 528
P. P. Cotterill Australia 14 362 0.9× 194 1.0× 110 0.8× 89 0.7× 81 0.7× 19 522
Alfas Pliūra Lithuania 12 269 0.7× 217 1.1× 89 0.6× 91 0.7× 50 0.4× 34 611
T. D. Byram United States 12 365 0.9× 132 0.7× 65 0.5× 79 0.6× 69 0.6× 20 561
F. E. Bridgwater United States 14 358 0.9× 168 0.9× 63 0.4× 68 0.5× 79 0.7× 33 513

Countries citing papers authored by Brian S. Baltunis

Since Specialization
Citations

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

Fields of papers citing papers by Brian S. Baltunis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian S. Baltunis

This figure shows the co-authorship network connecting the top 25 collaborators of Brian S. Baltunis. A scholar is included among the top collaborators of Brian S. Baltunis 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 Brian S. Baltunis. Brian S. Baltunis 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.
2.
Russell, John H., João Costa e Silva, & Brian S. Baltunis. (2015). Multisite genetic parameter estimates from a Callitropsis nootkatensis diallel study with clonally replicated progeny. Canadian Journal of Forest Research. 45(6). 689–697. 2 indexed citations
3.
Baltunis, Brian S., et al.. (2013). Genetic analysis and clonal stability of two yellow cypress clonal populations in British Columbia. Silvae genetica. 62(1-6). 173–186. 4 indexed citations
4.
Harwood, Chris, et al.. (2011). Growth and wood basic density of acacia hybrid clones at three locations in Vietnam. New Forests. 43(1). 13–29. 46 indexed citations
5.
Baltunis, Brian S., Washington J. Gapare, & Harry X. Wu. (2010). Genetic Parameters and Genotype by Environment Interaction in Radiata Pine for Growth and Wood Quality Traits in Australia. Silvae genetica. 59(1-6). 113–124. 57 indexed citations
6.
Thumma, Bala R., Brian S. Baltunis, J. C. Bell, et al.. (2010). Quantitative trait locus (QTL) analysis of growth and vegetative propagation traits in Eucalyptus nitens full-sib families. Tree Genetics & Genomes. 6(6). 877–889. 35 indexed citations
7.
Ivković, Miloš, et al.. (2010). Breeding against dothistroma needle blight of radiata pine in Australia. Canadian Journal of Forest Research. 40(8). 1653–1660. 20 indexed citations
8.
Baltunis, Brian S. & Jeremy Brawner. (2010). Clonal stability in Pinus radiata across New Zealand and Australia. I. Growth and form traits. New Forests. 40(3). 305–322. 25 indexed citations
9.
10.
Gapare, Washington J., et al.. (2009). Genetic stability of wood density and diameter in Pinus radiata D. Don plantation estate across Australia. Tree Genetics & Genomes. 6(1). 113–125. 43 indexed citations
11.
Baltunis, Brian S., Timothy A. Martin, Dudley A. Huber, & John M. Davis. (2008). Inheritance of foliar stable carbon isotope discrimination and third-year height in Pinus taeda clones on contrasting sites in Florida and Georgia. Tree Genetics & Genomes. 4(4). 797–807. 31 indexed citations
12.
Baltunis, Brian S., Harry X. Wu, Heidi S. Dungey, T. J. Mullin, & Jeremy Brawner. (2008). Comparisons of genetic parameters and clonal value predictions from clonal trials and seedling base population trials of radiata pine. Tree Genetics & Genomes. 5(1). 269–278. 48 indexed citations
13.
Baltunis, Brian S., et al.. (2007). Genetic analysis of early field growth of loblolly pine clones and seedlings from the same full-sib families. Canadian Journal of Forest Research. 37(1). 195–205. 36 indexed citations
14.
Baltunis, Brian S., Harry X. Wu, & Mike B. Powell. (2007). Inheritance of density, microfibril angle, and modulus of elasticity in juvenile wood ofPinus radiataat two locations in Australia. Canadian Journal of Forest Research. 37(11). 2164–2174. 77 indexed citations
15.
Baltunis, Brian S., et al.. (2006). Forest Biology Research Cooperative. 2 indexed citations
16.
Baltunis, Brian S., et al.. (2006). Genetic gain from selection for rooting ability and early growth in vegetatively propagated clones of loblolly pine. Tree Genetics & Genomes. 3(3). 227–238. 33 indexed citations
17.
Baltunis, Brian S.. (2005). GENETIC EFFECTS OF ROOTING ABILITY AND EARLY GROWTH TRAITS IN LOBLOLLY PINE CLONES. 4 indexed citations
18.
Baltunis, Brian S., et al.. (2005). Genetic effects of rooting loblolly pine stem cuttings from a partial diallel mating design. Canadian Journal of Forest Research. 35(5). 1098–1108. 25 indexed citations
19.
Baltunis, Brian S. & Michael S. Greenwood. (1999). Variation in lateral shoot elongation patterns and hybrid vigor in full-sib families and interspecific hybrids of larch. Tree Physiology. 19(2). 131–136. 8 indexed citations
20.
Baltunis, Brian S., Michael S. Greenwood, & Þröstur Eysteinsson. (1998). Hybrid Vigor in Larix: Growth of Intra- and Interspecific Hybrids of Larix decidua, L. laricina, and L. kaempferi After 5-Years. Silvae genetica. 47. 288–293. 22 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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