Jim Cox

2.3k total citations
83 papers, 1.7k citations indexed

About

Jim Cox is a scholar working on Soil Science, Water Science and Technology and Environmental Chemistry. According to data from OpenAlex, Jim Cox has authored 83 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Soil Science, 22 papers in Water Science and Technology and 18 papers in Environmental Chemistry. Recurrent topics in Jim Cox's work include Hydrology and Watershed Management Studies (20 papers), Soil erosion and sediment transport (18 papers) and Soil and Water Nutrient Dynamics (17 papers). Jim Cox is often cited by papers focused on Hydrology and Watershed Management Studies (20 papers), Soil erosion and sediment transport (18 papers) and Soil and Water Nutrient Dynamics (17 papers). Jim Cox collaborates with scholars based in Australia, United States and India. Jim Cox's co-authors include V. Phogat, Jiřı́ Šimůnek, Nigel Fleming, M.A. Skewes, David J. Chittleborough, Don McFarlane, Warwick J. Dougherty, Danielle P. Oliver, Paul R. Petrie and Dirk Mallants and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Journal of Hydrology.

In The Last Decade

Jim Cox

81 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim Cox Australia 27 753 439 428 326 323 83 1.7k
Raj Setia India 27 819 1.1× 374 0.9× 208 0.5× 497 1.5× 265 0.8× 89 2.6k
A.J.A. Vinten United Kingdom 24 937 1.2× 551 1.3× 752 1.8× 255 0.8× 320 1.0× 58 1.9k
José Maria de Lima Brazil 21 756 1.0× 220 0.5× 75 0.2× 467 1.4× 203 0.6× 102 1.5k
Richard A. Cooke United States 27 415 0.6× 938 2.1× 1.1k 2.5× 96 0.3× 132 0.4× 156 2.6k
Kate Spencer United Kingdom 28 391 0.5× 284 0.6× 341 0.8× 282 0.9× 62 0.2× 105 2.6k
Jonathan L. Deenik United States 22 852 1.1× 72 0.2× 130 0.3× 380 1.2× 192 0.6× 67 1.7k
J. C. Hughes South Africa 24 436 0.6× 128 0.3× 233 0.5× 238 0.7× 168 0.5× 98 1.6k
T. J. Sauer United States 21 564 0.7× 213 0.5× 251 0.6× 244 0.7× 207 0.6× 56 1.4k
Julie Constantin France 21 679 0.9× 122 0.3× 233 0.5× 704 2.2× 78 0.2× 47 1.6k
Calvin F. Wolter United States 24 504 0.7× 1.1k 2.5× 626 1.5× 135 0.4× 42 0.1× 45 1.8k

Countries citing papers authored by Jim Cox

Since Specialization
Citations

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

Fields of papers citing papers by Jim Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Cox. A scholar is included among the top collaborators of Jim Cox 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 Jim Cox. Jim Cox 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.
McAvoy, Pauline, et al.. (2023). Understanding Doctors' Performance. 2 indexed citations
2.
Potter, Tom De, et al.. (2022). Ultra-Low Temperature Cryoablation for Atrial Fibrillation: Primary Outcomes for Efficacy and Safety. JACC. Clinical electrophysiology. 8(8). 1034–1039. 13 indexed citations
3.
Awad, John, et al.. (2018). Modelling of THM formation potential and DOM removal based on drinking water catchment characteristics. The Science of The Total Environment. 635. 761–768. 10 indexed citations
4.
Cox, Jim, et al.. (2015). Methods to increase the use of recycled wastewater in irrigation by overcoming the constraint of soil salinity. Victoria University Research Repository (Victoria University). 5 indexed citations
5.
Keen, Bernard, et al.. (2010). Stemflow runoff contributes to soil erosion at the base of macadamia trees.. 240–243. 9 indexed citations
6.
Dougherty, Warwick J., David Nash, David J. Chittleborough, Jim Cox, & Nigel Fleming. (2006). Stratification, forms, and mobility of phosphorus in the topsoil of a Chromosol used for dairying. Soil Research. 44(3). 277–284. 29 indexed citations
7.
Davies, Phil, Jim Cox, Nigel Fleming, et al.. (2006). Predicting runoff and phosphorus loads from variable source areas A terrain-based spatial modelling approach. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 6(2). 82–104. 4 indexed citations
8.
Fitzpatrick, R. W., et al.. (2003). Development of soil-landscape and vegetation indicators for managing waterlogged and saline catchments. Australian Journal of Experimental Agriculture. 43(3). 245–252. 5 indexed citations
9.
Cox, Jim, et al.. (2002). Seasonal changes in hydrochemistry along a toposequence of texture-contrast soils. Australian Journal of Soil Research. 40(4). 581–604. 26 indexed citations
10.
Southgate, Lesley, Jim Cox, Neil Johnson, et al.. (2001). The General Medical Council's Performance Procedures: peer review of performance in the workplace. Medical Education. 35(s1). 9–19. 40 indexed citations
11.
Fleming, Nigel, Jim Cox, David J. Chittleborough, & C. B. Dyson. (2001). An analysis of chemical loads and forms in overland flow from dairy pasture in South Australia. Hydrological Processes. 15(3). 393–405. 10 indexed citations
12.
Cox, Jim & Richard Ashley. (2000). Water quality of gully drainage from texture-contrast soils in the Adelaide Hills in low rainfall years. Australian Journal of Soil Research. 38(5). 959–972. 19 indexed citations
13.
Cox, Jim, et al.. (2000). Mobility of phosphorus through intact soil cores collected from the Adelaide Hills, South Australia. Australian Journal of Soil Research. 38(5). 973–990. 33 indexed citations
14.
Clayton, Edward, I.J. Lean, James B. Rowe, & Jim Cox. (1999). Effects of Feeding Virginiamycin and Sodium Bicarbonate to Grazing Lactating Dairy Cows. Journal of Dairy Science. 82(7). 1545–1554. 32 indexed citations
15.
Fleming, Nigel & Jim Cox. (1998). Chemical losses off dairy catchments located on a texture-contrast soil: carbon, phosphorus, sulfur, and other chemicals. Australian Journal of Soil Research. 36(6). 979–996. 46 indexed citations
16.
Cox, Jim. (1995). Rural general practice in the United Kingdom.. OpenGrey (Institut de l'Information Scientifique et Technique). 11 indexed citations
17.
McFarlane, Don & Jim Cox. (1990). Seepage interceptor drains for reducing waterlogging and salinity.. Journal of the Department of Agriculture for Western Australia. 31(2). 66–69. 10 indexed citations
18.
Cox, Jim. (1988). Coupling of the Finite and Boundary Element Methods in Elastostatics. Defense Technical Information Center (DTIC). 2 indexed citations
19.
McFarlane, Don, et al.. (1985). Drainage to control waterlogging. Journal of the Department of Agriculture for Western Australia. 26(4). 122–125. 4 indexed citations
20.
Cox, Jim, et al.. (1985). Interceptor drains and waterlogging control. Journal of the Department of Agriculture for Western Australia. 26(4). 126–127. 4 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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