William I. Ford

1.1k total citations
44 papers, 891 citations indexed

About

William I. Ford is a scholar working on Water Science and Technology, Environmental Chemistry and Soil Science. According to data from OpenAlex, William I. Ford has authored 44 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Water Science and Technology, 30 papers in Environmental Chemistry and 15 papers in Soil Science. Recurrent topics in William I. Ford's work include Hydrology and Watershed Management Studies (32 papers), Soil and Water Nutrient Dynamics (29 papers) and Soil erosion and sediment transport (15 papers). William I. Ford is often cited by papers focused on Hydrology and Watershed Management Studies (32 papers), Soil and Water Nutrient Dynamics (29 papers) and Soil erosion and sediment transport (15 papers). William I. Ford collaborates with scholars based in United States, Canada and China. William I. Ford's co-authors include James F. Fox, Kevin W. King, Mark R. Williams, Admin Husic, Casey D. Kennedy, Carmen T. Agouridis, Anthony R. Buda, Erik D. Pollock, Norman R. Fausey and James C. Currens and has published in prestigious journals such as The Science of The Total Environment, Water Research and Water Resources Research.

In The Last Decade

William I. Ford

42 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William I. Ford United States 18 560 514 265 215 183 44 891
D. L. Karwan United States 18 449 0.8× 301 0.6× 259 1.0× 105 0.5× 161 0.9× 40 900
Clément Duvert Australia 16 510 0.9× 253 0.5× 290 1.1× 159 0.7× 175 1.0× 47 1.1k
Micheal Stone Canada 17 408 0.7× 255 0.5× 347 1.3× 64 0.3× 145 0.8× 46 1.4k
Margaret Zimmer United States 18 639 1.1× 302 0.6× 94 0.4× 145 0.7× 232 1.3× 46 917
D. Q. Kellogg United States 16 410 0.7× 498 1.0× 146 0.6× 183 0.9× 177 1.0× 22 989
M. L. Rodríguez‐Blanco Spain 18 499 0.9× 272 0.5× 391 1.5× 69 0.3× 73 0.4× 65 853
G. Douglas Glysson United States 10 759 1.4× 256 0.5× 342 1.3× 62 0.3× 214 1.2× 18 1.0k
A. F. Aubeneau United States 19 649 1.2× 628 1.2× 90 0.3× 141 0.7× 377 2.1× 33 1.1k
Michael O’Driscoll United States 18 619 1.1× 213 0.4× 69 0.3× 218 1.0× 541 3.0× 56 1.2k
Philippe Vervier France 18 569 1.0× 744 1.4× 103 0.4× 330 1.5× 217 1.2× 29 1.3k

Countries citing papers authored by William I. Ford

Since Specialization
Citations

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

Fields of papers citing papers by William I. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William I. Ford. 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 William I. Ford. The network helps show where William I. Ford may publish in the future.

Co-authorship network of co-authors of William I. Ford

This figure shows the co-authorship network connecting the top 25 collaborators of William I. Ford. A scholar is included among the top collaborators of William I. Ford 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 William I. Ford. William I. Ford 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.
2.
Pandit, Aniruddha B., et al.. (2025). Establishing performance criteria for evaluating watershed-scale sediment and nutrient models at fine temporal scales. Water Research. 274. 123156–123156. 5 indexed citations
3.
Williams, Mark R., et al.. (2025). Identifying dissolved reactive phosphorus sources in agricultural runoff and leachate using phosphate oxygen isotopes. Journal of Contaminant Hydrology. 269. 104501–104501. 1 indexed citations
4.
Ford, William I., et al.. (2024). Extreme Learning Machine Predicts  High-Frequency Stream flow and  Nitrate-N Concentrations in a  Karst Agricultural Watershed. Journal of the ASABE. 67(2). 305–319. 1 indexed citations
5.
Messer, Tiffany, et al.. (2024). Occurrence, transformation, and transport of PFAS entering, leaving, and flowing past wastewater treatment plants with diverse land uses. Journal of Environmental Management. 371. 123129–123129. 9 indexed citations
6.
7.
Williams, Mark R., et al.. (2023). Preferential flow in the shallow vadose zone: Effect of rainfall intensity, soil moisture, connectivity, and agricultural management. Hydrological Processes. 37(12). 10 indexed citations
8.
Ford, William I., et al.. (2022). Considerations on the use of carbon and nitrogen isotopic ratios for sediment fingerprinting. The Science of The Total Environment. 817. 152640–152640. 15 indexed citations
9.
Husic, Admin, et al.. (2021). Seasonality of Recharge Drives Spatial and Temporal Nitrate Removal in a Karst Conduit as Evidenced by Nitrogen Isotope Modeling. Journal of Geophysical Research Biogeosciences. 126(10). 9 indexed citations
10.
Ford, William I., et al.. (2020). Reach-Scale Model of Aquatic Vegetation Quantifies N Fate in a Bedrock-Controlled Karst Agroecosystem Stream. Water. 12(9). 2458–2458. 1 indexed citations
11.
Husic, Admin, et al.. (2019). Quantification of nitrate fate in a karst conduit using stable isotopes and numerical modeling. Water Research. 170. 115348–115348. 33 indexed citations
12.
Ford, William I., et al.. (2018). Improving In-Stream Nutrient Routines in Water Quality Models Using Stable Isotope Tracers: A Review and Synthesis. Transactions of the ASABE. 61(1). 139–157. 14 indexed citations
13.
Ford, William I., Kevin W. King, & Mark R. Williams. (2017). Upland and in-stream controls on baseflow nutrient dynamics in tile-drained agroecosystem watersheds. Journal of Hydrology. 556. 800–812. 17 indexed citations
14.
Husic, Admin, James F. Fox, William I. Ford, et al.. (2017). Sediment carbon fate in phreatic karst (Part 2): Numerical model development and application. Journal of Hydrology. 549. 208–219. 16 indexed citations
15.
Ford, William I. & James F. Fox. (2016). Stabilization of benthic algal biomass in a temperate stream draining agroecosystems. Water Research. 108. 432–443. 9 indexed citations
16.
King, Kevin W., et al.. (2016). Edge-of-field research to quantify the impacts of agricultural practices on water quality in Ohio. Journal of Soil and Water Conservation. 71(1). 54 indexed citations
17.
Williams, Mark R., Kevin W. King, Merrin L. Macrae, et al.. (2015). Uncertainty in nutrient loads from tile-drained landscapes: Effect of sampling frequency, calculation algorithm, and compositing strategy. Journal of Hydrology. 530. 306–316. 101 indexed citations
18.
Ford, William I. & James F. Fox. (2015). Isotope‐based Fluvial Organic Carbon (ISOFLOC) Model: Model formulation, sensitivity, and evaluation. Water Resources Research. 51(6). 4046–4064. 18 indexed citations
19.
Ford, William I., James F. Fox, & Harry Rowe. (2014). Impact of extreme hydrologic disturbance upon the sediment carbon quality in agriculturally impacted temperate streams. Ecohydrology. 8(3). 438–449. 21 indexed citations
20.
Fox, James F., et al.. (2013). Benthic control upon the morphology of transported fine sediments in a low‐gradient stream. Hydrological Processes. 28(11). 3776–3788. 27 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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