R. W. Skaggs

5.9k total citations
167 papers, 4.7k citations indexed

About

R. W. Skaggs is a scholar working on Water Science and Technology, Environmental Chemistry and Soil Science. According to data from OpenAlex, R. W. Skaggs has authored 167 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Water Science and Technology, 63 papers in Environmental Chemistry and 52 papers in Soil Science. Recurrent topics in R. W. Skaggs's work include Hydrology and Watershed Management Studies (95 papers), Soil and Water Nutrient Dynamics (61 papers) and Soil and Unsaturated Flow (34 papers). R. W. Skaggs is often cited by papers focused on Hydrology and Watershed Management Studies (95 papers), Soil and Water Nutrient Dynamics (61 papers) and Soil and Unsaturated Flow (34 papers). R. W. Skaggs collaborates with scholars based in United States, France and Chile. R. W. Skaggs's co-authors include J. W. Gilliam, Devendra M. Amatya, G. M. Chescheir, Mohamed A. Youssef, James D. Gregory, M. A. Brevé, S. B. Weed, François Bírgand, Ge Sun and Steven G. McNulty and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Resources Research.

In The Last Decade

R. W. Skaggs

160 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. W. Skaggs United States 37 2.8k 1.8k 1.5k 1.3k 951 167 4.7k
J. W. Gilliam United States 39 3.1k 1.1× 3.5k 2.0× 2.4k 1.6× 568 0.4× 1.8k 1.8× 123 6.1k
Kevin W. King United States 44 3.2k 1.1× 3.6k 2.0× 2.2k 1.5× 549 0.4× 827 0.9× 172 5.5k
J. M. Buttle Canada 40 2.6k 0.9× 825 0.5× 726 0.5× 1.3k 1.0× 1.1k 1.1× 112 4.1k
Mark D. Tomer United States 36 2.0k 0.7× 1.6k 0.9× 1.5k 1.0× 829 0.6× 912 1.0× 107 3.8k
Allan Lilly United Kingdom 26 1.2k 0.4× 701 0.4× 1.4k 0.9× 925 0.7× 692 0.7× 93 3.7k
Norman R. Fausey United States 36 1.7k 0.6× 2.1k 1.2× 1.9k 1.3× 307 0.2× 550 0.6× 143 4.2k
Keith Loague United States 36 2.8k 1.0× 493 0.3× 1.5k 1.0× 1.4k 1.1× 782 0.8× 114 5.5k
Helmut Elsenbeer Germany 40 2.0k 0.7× 472 0.3× 1.9k 1.3× 1.7k 1.3× 1.1k 1.1× 71 4.5k
Vincent Chaplot France 49 1.8k 0.7× 719 0.4× 3.8k 2.6× 1.4k 1.1× 1.9k 2.0× 125 6.3k
B. Reynolds United Kingdom 38 1.4k 0.5× 2.1k 1.2× 815 0.5× 698 0.5× 1.5k 1.6× 121 4.1k

Countries citing papers authored by R. W. Skaggs

Since Specialization
Citations

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

Fields of papers citing papers by R. W. Skaggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. W. Skaggs. 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 R. W. Skaggs. The network helps show where R. W. Skaggs may publish in the future.

Co-authorship network of co-authors of R. W. Skaggs

This figure shows the co-authorship network connecting the top 25 collaborators of R. W. Skaggs. A scholar is included among the top collaborators of R. W. Skaggs 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 R. W. Skaggs. R. W. Skaggs 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.
Youssef, Mohamed, G. M. Chescheir, R. W. Skaggs, et al.. (2018). Effects of forest-based bioenergy feedstock production on shallow groundwater quality of a drained forest soil. The Science of The Total Environment. 631-632. 13–22. 5 indexed citations
2.
Youssef, Mohamed A., et al.. (2014). DRAINMOD–DSSAT model for simulating hydrology, soil carbon and nitrogen dynamics, and crop growth for drained crop land. Agricultural Water Management. 137. 30–45. 32 indexed citations
3.
Tian, Shiying, Mohamed A. Youssef, R. W. Skaggs, G. M. Chescheir, & Devendra M. Amatya. (2013). Predicting dissolved organic nitrogen export from an drained pine plantation. 5 indexed citations
4.
Boyer, Elizabeth W., Richard B. Alexander, William J. Parton, et al.. (2006). MODELING DENITRIFICATION IN TERRESTRIAL AND AQUATIC ECOSYSTEMS AT REGIONAL SCALES. Ecological Applications. 16(6). 2123–2142. 215 indexed citations
5.
Skaggs, R. W., et al.. (2006). Soil Property Changes During Loblolly Pine Production. 2006 Portland, Oregon, July 9-12, 2006. 10 indexed citations
6.
Chescheir, G. M., et al.. (2004). DRAINWAT-BASED METHODS FOR ESTIMATING NITROGEN TRANSPORT IN POORLY DRAINED WATERSHEDS. Transactions of the ASAE. 47(3). 677–687. 27 indexed citations
7.
Amatya, Devendra M., et al.. (2003). Lumped Parameter Models for Predicting Nitrogen Transport in Lower Coastal Plain Watersheds. 5 indexed citations
8.
Gregory, James D., et al.. (2000). EFFECTS OF CONTROLLED DRAINAGE ON STORM EVENT HYDROLOGY IN A LOBLOLLY PINE PLANTATION1. JAWRA Journal of the American Water Resources Association. 36(1). 175–190. 38 indexed citations
9.
Skaggs, R. W., M. A. Brevé, & J. W. Gilliam. (1994). Hydrologic and water quality impacts of agricultural drainage∗. Critical Reviews in Environmental Science and Technology. 24(1). 1–32. 350 indexed citations
10.
Skaggs, R. W., et al.. (1991). A SIMPLIFIED MODEL FOR PREDICTING DRAINAGE RATES FOR CHANGING BOUNDARY CONDITIONS. Transactions of the ASAE. 34(2). 443–448. 11 indexed citations
11.
Anderson, Stephen H., D. K. Cassel, & R. W. Skaggs. (1987). Influence of Spatially Variable Soil Hydraulic Properties on Predictions of Water Stress. Soil Science Society of America Journal. 51(1). 17–22. 8 indexed citations
12.
Skaggs, R. W., et al.. (1986). Effect of Canal Seepage on Drainage to Parallel Drains. Transactions of the ASAE. 29(5). 1278–1283. 11 indexed citations
13.
Willits, D. H., et al.. (1984). Porous Bulbs to Control Water Contents in Container Media. HortScience. 19(3). 393–395. 1 indexed citations
14.
Chang, Andrew C., et al.. (1983). Evaluation of a Water Management Model for Irrigated Agriculture. Transactions of the ASAE. 26(2). 412–418. 30 indexed citations
15.
Skaggs, R. W.. (1982). Field Evaluation of a Water Management Simulation Model. Transactions of the ASAE. 25(3). 666–674. 103 indexed citations
16.
Sanders, D. C., et al.. (1981). Growth, Development, and Root Quality of Sweet Potato as Influenced by Soil Warming1. HortScience. 16(4). 537–539. 1 indexed citations
17.
Skaggs, R. W., et al.. (1980). Effect of agricultural land development on drainage waters in the N.C. Tidewater region. NCSU Libraries Repository (North Carolina State University Libraries). 3 indexed citations
18.
Skaggs, R. W.. (1973). Water Table Movement During Subirrigation. Transactions of the ASAE. 16(5). 988–993. 11 indexed citations
19.
Skaggs, R. W., et al.. (1972). Irrigation through Subsurface Drains. Journal of the Irrigation and Drainage Division. 98(3). 363–373. 8 indexed citations
20.
Skaggs, R. W., et al.. (1969). Experimental Evaluation of Infiltration Equations. Transactions of the ASAE. 12(6). 822–828. 36 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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