T. B. Weaver

727 total citations
42 papers, 504 citations indexed

About

T. B. Weaver is a scholar working on Soil Science, Civil and Structural Engineering and Agronomy and Crop Science. According to data from OpenAlex, T. B. Weaver has authored 42 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Soil Science, 16 papers in Civil and Structural Engineering and 5 papers in Agronomy and Crop Science. Recurrent topics in T. B. Weaver's work include Soil Carbon and Nitrogen Dynamics (23 papers), Soil and Unsaturated Flow (16 papers) and Soil Management and Crop Yield (14 papers). T. B. Weaver is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (23 papers), Soil and Unsaturated Flow (16 papers) and Soil Management and Crop Yield (14 papers). T. B. Weaver collaborates with scholars based in Australia, Ireland and India. T. B. Weaver's co-authors include N. R. Hulugalle, L. A. Finlay, Hossein Ghadiri, P. C. Entwistle, J. Fiona Scott, S. Harden, Budiman Minasny, Bruce McCorkell, Bradley Evans and Daniel K. Y. Tan and has published in prestigious journals such as Chemosphere, Environmental Microbiology and Remote Sensing.

In The Last Decade

T. B. Weaver

41 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. B. Weaver Australia 15 319 144 137 94 85 42 504
Ekrem Ozlu United States 13 385 1.2× 162 1.1× 67 0.5× 84 0.9× 93 1.1× 29 585
Kanika Singh Australia 11 206 0.6× 80 0.6× 43 0.3× 138 1.5× 72 0.8× 21 460
Graziela Moraes de Césare Barbosa Brazil 12 333 1.0× 133 0.9× 42 0.3× 42 0.4× 67 0.8× 39 464
Zhao Lan-po China 10 274 0.9× 147 1.0× 57 0.4× 51 0.5× 156 1.8× 43 525
Mariela Fuentes Mexico 7 357 1.1× 183 1.3× 58 0.4× 38 0.4× 81 1.0× 9 517
Cleiton H. Sequeira United States 7 345 1.1× 170 1.2× 64 0.5× 86 0.9× 55 0.6× 8 496
S.S. Bawa India 8 263 0.8× 82 0.6× 63 0.5× 34 0.4× 50 0.6× 16 400
Rosalba Risaliti Italy 6 370 1.2× 188 1.3× 61 0.4× 151 1.6× 107 1.3× 7 608
Daiani da Cruz Hartman Brazil 8 498 1.6× 121 0.8× 59 0.4× 49 0.5× 100 1.2× 8 561
M. F. Guimarães Brazil 11 297 0.9× 164 1.1× 110 0.8× 33 0.4× 52 0.6× 20 432

Countries citing papers authored by T. B. Weaver

Since Specialization
Citations

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

Fields of papers citing papers by T. B. Weaver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. B. Weaver

This figure shows the co-authorship network connecting the top 25 collaborators of T. B. Weaver. A scholar is included among the top collaborators of T. B. Weaver 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 T. B. Weaver. T. B. Weaver 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.
Filippi, Patrick, et al.. (2021). Machine Learning Optimised Hyperspectral Remote Sensing Retrieves Cotton Nitrogen Status. Remote Sensing. 13(8). 1428–1428. 36 indexed citations
2.
Minasny, Budiman, et al.. (2021). Rapid and cost-effective nutrient content analysis of cotton leaves using near-infrared spectroscopy (NIRS). PeerJ. 9. e11042–e11042. 19 indexed citations
3.
Nachimuthu, Gunasekhar, et al.. (2019). Leaching of dissolved organic carbon and nitrogen under cotton farming systems in a Vertisol. Soil Use and Management. 35(3). 443–452. 13 indexed citations
4.
Weaver, T. B., et al.. (2018). Cumulative SOC equivalent mass after 18 years of cotton rotations with cereal and legumes. 1 indexed citations
5.
Hulugalle, N. R., et al.. (2016). Soil properties and carbon stocks in a grey Vertosol irrigated with treated sewage effluent. Soil Research. 54(7). 847–856. 2 indexed citations
6.
Hulugalle, N. R., T. B. Weaver, & L. A. Finlay. (2016). Soil structure in permanent beds under irrigated cotton-based cropping systems in a Vertisol. Soil and Tillage Research. 165. 107–112. 7 indexed citations
7.
8.
Weaver, T. B., Hossein Ghadiri, N. R. Hulugalle, & S. Harden. (2012). Organochlorine pesticides in soil under irrigated cotton farming systems in Vertisols of the Namoi Valley, north-western New South Wales, Australia. Chemosphere. 88(3). 336–343. 25 indexed citations
9.
Hulugalle, N. R., T. B. Weaver, & L. A. Finlay. (2012). Carbon inputs by wheat and vetch roots to an irrigated Vertosol. Soil Research. 50(3). 177–187. 9 indexed citations
10.
Hulugalle, N. R., T. B. Weaver, & L. A. Finlay. (2010). Soil water storage and drainage under cotton-based cropping systems in a furrow-irrigated Vertisol. Agricultural Water Management. 97(10). 1703–1710. 28 indexed citations
11.
Hulugalle, N. R., Bruce McCorkell, T. B. Weaver, & L. A. Finlay. (2010). Managing Sodicity and Exchangeable K in a Dryland Vertisol in Australia with Deep Tillage, Cattle Manure, and Gypsum. Arid Land Research and Management. 24(3). 181–195. 9 indexed citations
12.
Hulugalle, N. R., T. B. Weaver, L. A. Finlay, et al.. (2010). Potential contribution by corn and Bollgard II cotton roots to soil carbon stocks in a furrow-irrigated Vertisol. 182–185. 1 indexed citations
13.
Hulugalle, N. R., Subhadip Ghosh, T. B. Weaver, et al.. (2008). Cattle Manure and Composted Gin Trash: Benefits and Costs. 29(7). 16. 2 indexed citations
14.
Hulugalle, N. R., Bruce McCorkell, T. B. Weaver, L. A. Finlay, & James P. Gleeson. (2007). Soil properties in furrows of an irrigated Vertisol sown with continuous cotton (Gossypium hirsutum L.). Soil and Tillage Research. 97(2). 162–171. 6 indexed citations
15.
Hoanh, Chu Thai, et al.. (2007). Modelling Acidity Propagation in a Coastal Zone with Acid Sulphate Soils. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).
16.
Hulugalle, N. R., et al.. (2006). Soil properties and crop yields in a dryland Vertisol sown with cotton-based crop rotations. Soil and Tillage Research. 93(2). 356–369. 28 indexed citations
17.
Hulugalle, N. R., et al.. (2006). Changes in soil properties of an eastern Australian vertisol irrigated with treated sewage effluent following gypsum application. Land Degradation and Development. 17(5). 527–540. 15 indexed citations
18.
Hulugalle, N. R., T. B. Weaver, & L. A. Finlay. (2006). Residual effects of cotton-based crop rotations on soil properties of irrigated Vertosols in central-western and north-western New South Wales. Soil Research. 44(5). 467–477. 12 indexed citations
19.
Weaver, T. B., N. R. Hulugalle, & Hossein Ghadiri. (2005). Comparing deep drainage estimated with transient and steady state assumptions in irrigated vertisols. Irrigation Science. 23(4). 183–191. 36 indexed citations
20.
Hulugalle, N. R., P. C. Entwistle, T. B. Weaver, J. Fiona Scott, & L. A. Finlay. (2002). Cotton-based rotation systems on a sodic Vertosol under irrigation: effects on soil quality and profitability. Australian Journal of Experimental Agriculture. 42(3). 341–349. 23 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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