David T. Vere

409 total citations
32 papers, 253 citations indexed

About

David T. Vere is a scholar working on Forestry, General Agricultural and Biological Sciences and Agronomy and Crop Science. According to data from OpenAlex, David T. Vere has authored 32 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Forestry, 14 papers in General Agricultural and Biological Sciences and 13 papers in Agronomy and Crop Science. Recurrent topics in David T. Vere's work include Pasture and Agricultural Systems (14 papers), Agricultural Economics and Policy (12 papers) and Genetic and phenotypic traits in livestock (9 papers). David T. Vere is often cited by papers focused on Pasture and Agricultural Systems (14 papers), Agricultural Economics and Policy (12 papers) and Genetic and phenotypic traits in livestock (9 papers). David T. Vere collaborates with scholars based in Australia, Hungary and United Kingdom. David T. Vere's co-authors include Randall E. Jones, Garry R. Griffith, Malcolm Campbell, R. W. Medd, Glen Saunders, David Kemp, P. M. Dowling, Glyn Wittwer, B. A. Auld and Robin L. Jones and has published in prestigious journals such as Agricultural Systems, Agricultural Economics and Weed Technology.

In The Last Decade

David T. Vere

28 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David T. Vere Australia 11 77 76 69 53 41 32 253
S.J. Quashie-Sam Canada 6 95 1.2× 46 0.6× 72 1.0× 74 1.4× 27 0.7× 11 420
Mevlüt Gül Türkiye 10 63 0.8× 35 0.5× 81 1.2× 65 1.2× 22 0.5× 72 302
Paulo Marcelo de Souza Brazil 11 92 1.2× 49 0.6× 89 1.3× 33 0.6× 21 0.5× 73 302
Mike Ewing Australia 8 175 2.3× 187 2.5× 116 1.7× 155 2.9× 47 1.1× 12 492
J. Tonyé Cameroon 8 59 0.8× 54 0.7× 77 1.1× 163 3.1× 49 1.2× 16 367
W. W. Stür Australia 10 81 1.1× 168 2.2× 57 0.8× 57 1.1× 8 0.2× 43 372
Charlotte Poeydebat France 9 124 1.6× 57 0.8× 27 0.4× 55 1.0× 8 0.2× 13 295
Jonathan Muriuki Kenya 11 96 1.2× 35 0.5× 109 1.6× 67 1.3× 24 0.6× 27 359
Ricardo Pereira Reis Brazil 14 134 1.7× 88 1.2× 81 1.2× 24 0.5× 29 0.7× 50 427
Philippe Viaux France 4 82 1.1× 13 0.2× 15 0.2× 65 1.2× 18 0.4× 4 352

Countries citing papers authored by David T. Vere

Since Specialization
Citations

This map shows the geographic impact of David T. Vere'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 David T. Vere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Vere more than expected).

Fields of papers citing papers by David T. Vere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Vere. 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 David T. Vere. The network helps show where David T. Vere may publish in the future.

Co-authorship network of co-authors of David T. Vere

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Vere. A scholar is included among the top collaborators of David T. Vere 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 David T. Vere. David T. Vere 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.
Griffith, Garry R., et al.. (2006). Sheep CRC Renewal Proposal: Economic Evaluation of the Proposed Scientific Themes. AgEcon Search (University of Minnesota, USA). 8 indexed citations
2.
Vere, David T., et al.. (2005). Research Into Conservation Tillage for Dryland Cropping in Australia and China. AgEcon Search (University of Minnesota, USA). 12 indexed citations
3.
Vere, David T. & Malcolm Campbell. (2004). Potential economic benefits to the Australian wool industry from improving pastures in the hill country of eastern New South Wales. The Rangeland Journal. 26(2). 161–177. 2 indexed citations
4.
Vere, David T., Randall E. Jones, & P. M. Dowling. (2004). Increasing the economic benefits from agricultural research: the case of enhancing the diffusion of a pasture weed technology. Australian Journal of Experimental Agriculture. 44(8). 779–786. 1 indexed citations
5.
Vere, David T., Randall E. Jones, & Garry R. Griffith. (2003). Economic benefits of public investment in weed management: the case of vulpia in south‐eastern Australia's temperate pasture areas. Australian Journal of Agricultural and Resource Economics. 47(4). 519–539. 6 indexed citations
6.
Vere, David T. & P. M. Dowling. (2003). An economic analysis of sown pasture trends on the tablelands of south-eastern New South Wales. The Rangeland Journal. 25(1). 56–69. 1 indexed citations
7.
Vere, David T. & Garry R. Griffith. (2003). Structural econometric modelling in Australia's livestock production and marketing systems: the potential benefits of model integration for industry analysis. Agricultural Systems. 81(2). 115–131. 5 indexed citations
8.
Vere, David T., Randall E. Jones, & Malcolm Campbell. (2002). An economic evaluation of native pasture systems in south-eastern New South Wales. Agricultural Systems. 72(2). 133–148. 5 indexed citations
9.
Vere, David T., P. M. Dowling, Randall E. Jones, & David Kemp. (2002). Economic impact of Vulpia in temperate pasture systems in south-eastern Australia. Australian Journal of Experimental Agriculture. 42(4). 465–472. 10 indexed citations
10.
Jones, Randall E. & David T. Vere. (1998). The economics of serrated tussock in New South Wales.. Plant protection quarterly. 13(2). 70–76. 15 indexed citations
11.
Vere, David T. & Garry R. Griffith. (1995). Modifying quantitative forecasts of livestock production using expert judgments: An application to the australian lamb industry. Journal of Forecasting. 14(5). 453–464. 5 indexed citations
12.
13.
Vere, David T., et al.. (1994). Ex ante assessment of the returns to livestock disease control in Indonesia. Agricultural Economics. 11(1). 83–91.
14.
Vere, David T., et al.. (1994). The development and application of a quarterly econometric model of the Australian prime lamb market. 2 indexed citations
15.
Vere, David T., B. A. Auld, & Malcolm Campbell. (1993). Economic Assessments of Serrated Tussock (Nassella trichotoma) as a Pasture Weed. Weed Technology. 7(3). 776–782. 6 indexed citations
16.
Vere, David T., et al.. (1992). Assessing the Impacts of Production Technology Adoption in the Australian Prime Lamb Industry. AgEcon Search (University of Minnesota, USA). 1 indexed citations
17.
Vere, David T. & Garry R. Griffith. (1990). COMPARATIVE FORECAST ACCURACY IN THE NEW SOUTH WALES PRIME LAMB MARKET. Australian Journal of Agricultural Economics. 34(2). 103–117. 3 indexed citations
18.
Vere, David T., et al.. (1988). Supply and Demand Interactions in the New South Wales Prime Lamb Market. Review of marketing and agricultural economics. 56(3). 287–305. 8 indexed citations
19.
Vere, David T., et al.. (1986). Pasture Improvement Adoption In South-Eastern New South Wales. Review of marketing and agricultural economics. 54(1). 19–32. 8 indexed citations
20.
Vere, David T. & Malcolm Campbell. (1984). Economics of Controlling Serrated Tussock in the Southeastern Australian Rangelands. Journal of Range Management. 37(1). 87–87. 10 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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