William Farmer

2.5k total citations
46 papers, 1.0k citations indexed

About

William Farmer is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, William Farmer has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Water Science and Technology, 24 papers in Global and Planetary Change and 11 papers in Environmental Engineering. Recurrent topics in William Farmer's work include Hydrology and Watershed Management Studies (32 papers), Hydrology and Drought Analysis (17 papers) and Flood Risk Assessment and Management (10 papers). William Farmer is often cited by papers focused on Hydrology and Watershed Management Studies (32 papers), Hydrology and Drought Analysis (17 papers) and Flood Risk Assessment and Management (10 papers). William Farmer collaborates with scholars based in United States, Canada and Austria. William Farmer's co-authors include Richard M. Vogel, Julie E. Kiang, Thomas M. Over, Scott C. Worland, Kenneth Strzepek, Lauren E. Hay, S. A. Archfield, Andrew R. Bock, C. Adam Schlosser and Channing Arndt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Water Resources Research.

In The Last Decade

William Farmer

45 papers receiving 936 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 Farmer United States 17 759 538 326 119 116 46 1.0k
Julio Pérez‐Sánchez Spain 23 810 1.1× 654 1.2× 421 1.3× 99 0.8× 121 1.0× 47 1.1k
Gerald Corzo Netherlands 19 819 1.1× 629 1.2× 632 1.9× 88 0.7× 162 1.4× 68 1.3k
Vishal K. Mehta United States 15 571 0.8× 299 0.6× 169 0.5× 100 0.8× 72 0.6× 43 866
Majid Delavar Iran 21 892 1.2× 588 1.1× 279 0.9× 115 1.0× 122 1.1× 68 1.4k
Hui Peng China 18 523 0.7× 436 0.8× 321 1.0× 73 0.6× 201 1.7× 39 901
Adnan Rajib United States 23 1.1k 1.5× 1.0k 1.9× 410 1.3× 227 1.9× 297 2.6× 52 1.6k
Kathryn van Werkhoven United States 9 757 1.0× 569 1.1× 471 1.4× 49 0.4× 118 1.0× 12 1.1k
Kristie J. Franz United States 20 777 1.0× 619 1.2× 313 1.0× 86 0.7× 463 4.0× 48 1.1k
Annie Poulin Canada 15 1.2k 1.6× 1.0k 1.9× 363 1.1× 75 0.6× 421 3.6× 42 1.6k
Jörg Dietrich Germany 20 520 0.7× 403 0.7× 272 0.8× 60 0.5× 139 1.2× 41 824

Countries citing papers authored by William Farmer

Since Specialization
Citations

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

Fields of papers citing papers by William Farmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Farmer

This figure shows the co-authorship network connecting the top 25 collaborators of William Farmer. A scholar is included among the top collaborators of William Farmer 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 Farmer. William Farmer 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.
Sando, Roy, Kristin L. Jaeger, William Farmer, et al.. (2022). Predictions and drivers of sub-reach-scale annual streamflow permanence for the upper Missouri River basin: 1989–2018. SHILAP Revista de lepidopterología. 17. 100138–100138. 12 indexed citations
3.
Villarini, Gabriele, Keith E. Schilling, Christopher S. Jones, et al.. (2022). The Role of Climate in Monthly Baseflow Changes across the Continental United States. Journal of Hydrologic Engineering. 27(5). 15 indexed citations
4.
Salinas, José Luis, Jery R. Stedinger, William Farmer, et al.. (2021). A comparison between generalized least squares regression and top-kriging for homogeneous cross-correlated flood regions. Hydrological Sciences Journal. 66(4). 565–579. 6 indexed citations
5.
Saxe, Samuel, William Farmer, Jessica M. Driscoll, & T. S. Hogue. (2021). Implications of model selection: a comparison of publicly available, conterminous US-extent hydrologic component estimates. Hydrology and earth system sciences. 25(3). 1529–1568. 16 indexed citations
6.
Saxe, Samuel, William Farmer, Jessica M. Driscoll, & T. S. Hogue. (2020). Implications of Model Selection: A Comparison of Publicly Available, CONUS-Extent Hydrologic Component Estimates. 3 indexed citations
7.
8.
LaFontaine, Jacob H., Lauren E. Hay, William Farmer, et al.. (2019). Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions. Scientific investigations report. 17 indexed citations
9.
Saxe, Samuel, William Farmer, Jessica M. Driscoll, & T. S. Hogue. (2019). Implications of Model Selection: Inter-Comparison of Publicly-Available CONUS Extent Hydrologic Component Estimates. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
10.
Farmer, William, Julie E. Kiang, Toby D. Feaster, & Ken Eng. (2019). Regionalization of surface-water statistics using multiple linear regression. Techniques and methods. 12 indexed citations
11.
Barber, Nancy L., Paul M. Barlow, D. L. Blodgett, et al.. (2018). Continuing progress toward a national assessment of water availability and use. U.S. Geological Survey circular. 14 indexed citations
12.
Farmer, William, Thomas M. Over, & Julie E. Kiang. (2018). Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow duration curves. Hydrology and earth system sciences. 22(11). 5741–5758. 27 indexed citations
13.
Farmer, William, et al.. (2017). Geospatial tools effectively estimate nonexceedance probabilities of daily streamflow at ungauged and intermittently gauged locations in Ohio. Journal of Hydrology Regional Studies. 13. 208–221. 2 indexed citations
14.
Farmer, William. (2016). Ordinary kriging as a tool to estimate historical daily streamflow records. Hydrology and earth system sciences. 20(7). 2721–2735. 46 indexed citations
15.
Farmer, William & Richard M. Vogel. (2016). On the deterministic and stochastic use of hydrologic models. Water Resources Research. 52(7). 5619–5633. 97 indexed citations
16.
Archfield, S. A., Martyn Clark, Berit Arheimer, et al.. (2015). Accelerating advances in continental domain hydrologic modeling. Water Resources Research. 51(12). 10078–10091. 122 indexed citations
17.
18.
Vogel, Richard M., William Farmer, & Brent Boehlert. (2014). Blunders and Bias in Flood and Drought Frequency Analysis. EGU General Assembly Conference Abstracts. 1287. 1 indexed citations
19.
Arndt, Channing, William Farmer, Kenneth Strzepek, & James Thurlow. (2012). Climate Change, Agriculture and Food Security in Tanzania. Review of Development Economics. 16(3). 378–393. 64 indexed citations
20.
Farmer, William, et al.. (1995). Light-weight low-volume CO 2 ladar technology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2472. 132–132. 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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