J. R. Williams

1.9k total citations · 1 hit paper
27 papers, 1.4k citations indexed

About

J. R. Williams is a scholar working on Environmental Chemistry, Process Chemistry and Technology and Soil Science. According to data from OpenAlex, J. R. Williams has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Chemistry, 5 papers in Process Chemistry and Technology and 5 papers in Soil Science. Recurrent topics in J. R. Williams's work include Soil and Water Nutrient Dynamics (6 papers), Odor and Emission Control Technologies (5 papers) and Soil erosion and sediment transport (4 papers). J. R. Williams is often cited by papers focused on Soil and Water Nutrient Dynamics (6 papers), Odor and Emission Control Technologies (5 papers) and Soil erosion and sediment transport (4 papers). J. R. Williams collaborates with scholars based in United States, United Kingdom and France. J. R. Williams's co-authors include P. T. Dyke, Charles Jones, Philip W. Gassman, B. J. Chambers, Edward Osei, Larry M. Hauck, R. C. Izaurralde, Ahmed M. Saleh, M. Cabelguenne and Christopher A. Jones and has published in prestigious journals such as Journal of Environmental Quality, American Journal of Agricultural Economics and Biosystems Engineering.

In The Last Decade

J. R. Williams

25 papers receiving 1.2k citations

Hit Papers

A Modeling Approach to Determining the Relationship Betwe... 1984 2026 1998 2012 1984 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. R. Williams United States 11 698 600 378 353 229 27 1.4k
Ali Saleh United States 20 865 1.2× 691 1.2× 371 1.0× 494 1.4× 245 1.1× 51 1.6k
W. D. Rosenthal United States 19 355 0.5× 479 0.8× 435 1.2× 241 0.7× 166 0.7× 41 1.2k
Dean E. Eisenhauer United States 22 1.2k 1.8× 552 0.9× 555 1.5× 306 0.9× 242 1.1× 83 1.9k
Allen L. Thompson United States 23 808 1.2× 343 0.6× 275 0.7× 238 0.7× 168 0.7× 66 1.3k
C. Li United States 18 747 1.1× 187 0.3× 492 1.3× 463 1.3× 413 1.8× 21 1.4k
Christen Duus Børgesen Denmark 22 325 0.5× 562 0.9× 339 0.9× 500 1.4× 224 1.0× 55 1.6k
Kenneth C. Stone United States 25 561 0.8× 319 0.5× 222 0.6× 474 1.3× 307 1.3× 91 1.8k
Steven Anthony United Kingdom 17 439 0.6× 506 0.8× 172 0.5× 435 1.2× 272 1.2× 33 1.2k
T. J. Sauer United States 21 564 0.8× 213 0.4× 417 1.1× 251 0.7× 167 0.7× 56 1.4k
Gary Feng United States 22 955 1.4× 318 0.5× 430 1.1× 185 0.5× 254 1.1× 104 1.7k

Countries citing papers authored by J. R. Williams

Since Specialization
Citations

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

Fields of papers citing papers by J. R. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. R. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Williams. A scholar is included among the top collaborators of J. R. Williams 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 J. R. Williams. J. R. Williams 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.
Raymond, Samuel, et al.. (2020). Shale gas production forecasting is an ill-posed inverse problem and requires regularization. 5. 100022–100022. 9 indexed citations
2.
Harris, D. Bruce, Matthew Taylor, J. R. Williams, et al.. (2011). An Inventory of Mitigation Methods and Guide to their Effects on Diffuse Water Pollution, Greenhouse Gas Emissions and Ammonia Emissions from Agriculture. 37 indexed citations
3.
Gassman, Philip W., J. R. Williams, Ahmed M. Saleh, et al.. (2010). Invited Review Article: The Agricultural Policy/Environmental eXtender (APEX) Model: An Emerging Tool for Landscape and Watershed Environmental Analyses. Transactions of the ASABE. 53(3). 711–740. 113 indexed citations
4.
Gassman, Philip W., J. R. Williams, Ahmed M. Saleh, et al.. (2009). Agricultural Policy Environmental EXtender (APEX) Model: An Emerging Tool for Landscape and Watershed Environmental Analyses, The. American Journal of Agricultural Economics. 2 indexed citations
5.
Williams, J. R., Siân Mooney, & Jeffrey M. Peterson. (2009). What is the carbon market: Is there a final answer?. Journal of Soil and Water Conservation. 64(1). 8 indexed citations
6.
Laws, John, T. H. Misselbrook, S. Yamulki, et al.. (2007). Optimal timing of shallow injected slurry applications to grassland to minimise N losses. Rothamsted Repository (Rothamsted Repository). 1 indexed citations
7.
Moorby, J. M., David R. Chadwick, D. Scholefield, B. J. Chambers, & J. R. Williams. (2007). A review of research to identify best practice for reducing greenhouse gases from agriculture and land management. Rothamsted Repository (Rothamsted Repository). 13 indexed citations
8.
Williams, J. R., et al.. (2007). Integrated management practices to minimise losses and maximise the crop nitrogen value of broiler litter. Biosystems Engineering. 97(4). 512–519. 30 indexed citations
10.
Chadwick, David R., S. K. E. Brookman, J. R. Williams, et al.. (2004). On-farm quick tests for manure. Rothamsted Repository (Rothamsted Repository).
11.
Williams, J. R., et al.. (2004). APPLICATION OF APEX FOR FORESTRY. Transactions of the ASAE. 47(3). 751–765. 35 indexed citations
12.
Williams, J. R., et al.. (2001). Ammonia fluxes from solid and liquid manure management systems for beef cattle and pigs. Rothamsted Repository (Rothamsted Repository). 7 indexed citations
13.
Williams, J. R., et al.. (1999). Rapid methods for the analysis of readily available nitrogen in manure. Rothamsted Repository (Rothamsted Repository). 2 indexed citations
14.
Williams, J. R., B. J. Chambers, K. A. Smith, et al.. (1997). The development of user friendly systems for on-farm estimation of the available nitrogen content in solid manures and slurries. Rothamsted Repository (Rothamsted Repository). 5 indexed citations
15.
Gassman, Philip W., et al.. (1995). Validation of EPIC for Two Watersheds in Southwest Iowa. AgEcon Search (University of Minnesota, USA). 70 indexed citations
16.
Williams, J. R.. (1995). Chapter 25 : The EPIC model. Medical Entomology and Zoology. 909–1000. 76 indexed citations
17.
Williams, J. R.. (1994). High Order Wavelet Extrapolation Schemes for Initial Problems and Boundary Value Problems. Medical Entomology and Zoology. 6 indexed citations
18.
Williams, J. R., Charles Jones, & P. T. Dyke. (1984). A Modeling Approach to Determining the Relationship Between Erosion and Soil Productivity. Transactions of the ASAE. 27(1). 129–144. 865 indexed citations breakdown →
19.
Carpino, Louis A. & J. R. Williams. (1974). ChemInform Abstract: SYNTHESIS OF ALKYL‐SUBSTITUTED THIIRENE DIOXIDES. Chemischer Informationsdienst. 5(47). 1 indexed citations
20.
Potter, Jerry L., et al.. (1970). No. 1 ESS ADF: Magnetic Tape Subsystem. Bell System Technical Journal. 49(10). 2915–2940. 3 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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