Jeffrey G. Chanat

518 total citations
21 papers, 405 citations indexed

About

Jeffrey G. Chanat is a scholar working on Water Science and Technology, Environmental Chemistry and Nature and Landscape Conservation. According to data from OpenAlex, Jeffrey G. Chanat has authored 21 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 13 papers in Environmental Chemistry and 6 papers in Nature and Landscape Conservation. Recurrent topics in Jeffrey G. Chanat's work include Hydrology and Watershed Management Studies (14 papers), Soil and Water Nutrient Dynamics (13 papers) and Fish Ecology and Management Studies (6 papers). Jeffrey G. Chanat is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Soil and Water Nutrient Dynamics (13 papers) and Fish Ecology and Management Studies (6 papers). Jeffrey G. Chanat collaborates with scholars based in United States, United Kingdom and Australia. Jeffrey G. Chanat's co-authors include George M. Hornberger, Karen C. Rice, Joel D. Blomquist, James S. Webber, Scott W. Ator, Karen R. Ryberg, Douglas Moyer, Guoxiang Yang, Kenneth Hyer and Michael J. Langland and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Jeffrey G. Chanat

20 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey G. Chanat United States 10 281 229 104 73 69 21 405
Carolyn J. Oblinger 4 317 1.1× 150 0.7× 99 1.0× 93 1.3× 112 1.6× 7 443
Tamara Kolbe France 9 256 0.9× 226 1.0× 101 1.0× 63 0.9× 53 0.8× 12 388
M. Faucheux France 7 340 1.2× 245 1.1× 124 1.2× 44 0.6× 65 0.9× 10 431
Zhaojiang Hou China 4 310 1.1× 180 0.8× 68 0.7× 56 0.8× 107 1.6× 5 464
Michael Weber Germany 10 276 1.0× 230 1.0× 111 1.1× 129 1.8× 80 1.2× 11 474
Silvia Terziotti United States 9 274 1.0× 223 1.0× 87 0.8× 47 0.6× 45 0.7× 22 376
Hongyin Han China 4 271 1.0× 131 0.6× 94 0.9× 36 0.5× 61 0.9× 6 395
Lucy A. Rose United States 8 196 0.7× 187 0.8× 69 0.7× 42 0.6× 90 1.3× 10 359
David Brito Portugal 15 259 0.9× 172 0.8× 98 0.9× 67 0.9× 104 1.5× 30 493
Kristen L. Underwood United States 14 248 0.9× 217 0.9× 102 1.0× 45 0.6× 138 2.0× 38 508

Countries citing papers authored by Jeffrey G. Chanat

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey G. Chanat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey G. Chanat. 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 Jeffrey G. Chanat. The network helps show where Jeffrey G. Chanat may publish in the future.

Co-authorship network of co-authors of Jeffrey G. Chanat

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey G. Chanat. A scholar is included among the top collaborators of Jeffrey G. Chanat 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 Jeffrey G. Chanat. Jeffrey G. Chanat 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.
Webber, James S., et al.. (2024). Evaluating water‐quality trends in agricultural watersheds prioritized for management‐practice implementation. JAWRA Journal of the American Water Resources Association. 60(2). 305–330. 3 indexed citations
3.
Murphy, Jennifer C. & Jeffrey G. Chanat. (2023). Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies. Environmental Modelling & Software. 170. 105864–105864. 5 indexed citations
4.
Webber, James S., et al.. (2023). Evaluating drivers of hydrology, water quality, and benthic macroinvertebrates in streams of Fairfax County, Virginia, 2007–18. Scientific investigations report. 4 indexed citations
5.
Ryberg, Karen R. & Jeffrey G. Chanat. (2021). Climate extremes as drivers of surface-water-quality trends in the United States. The Science of The Total Environment. 809. 152165–152165. 37 indexed citations
6.
Zhang, Qian, James S. Webber, Douglas Moyer, & Jeffrey G. Chanat. (2021). Estimating river water-quality trends under different flow conditions. 1 indexed citations
7.
Zhang, Qian, James S. Webber, Douglas Moyer, & Jeffrey G. Chanat. (2020). An approach for decomposing river water-quality trends into different flow classes. The Science of The Total Environment. 755(Pt 2). 143562–143562. 16 indexed citations
8.
Ator, Scott W., Joel D. Blomquist, James S. Webber, & Jeffrey G. Chanat. (2020). Factors driving nutrient trends in streams of the Chesapeake Bay watershed. Journal of Environmental Quality. 49(4). 812–834. 82 indexed citations
9.
Zhang, Qian, Joel D. Blomquist, Douglas Moyer, & Jeffrey G. Chanat. (2019). Estimation Bias in Water-Quality Constituent Concentrations and Fluxes: A Synthesis for Chesapeake Bay Rivers and Streams. Frontiers in Ecology and Evolution. 7. 15 indexed citations
10.
11.
Hyer, Kenneth, et al.. (2015). Evaluation and application of regional turbidity-sediment regression models in Virginia. 2 indexed citations
12.
Langland, Michael J., Joel D. Blomquist, Douglas Moyer, Kenneth Hyer, & Jeffrey G. Chanat. (2013). Total nutrient and sediment loads, trends, yields, and nontidal water-quality indicators for selected nontidal stations, Chesapeake Bay Watershed, 1985–2011. Antarctica A Keystone in a Changing World. 6 indexed citations
13.
Chanat, Jeffrey G., et al.. (2013). Summary and interpretation of discrete and continuous water-quality monitoring data, Mattawoman Creek, Charles County, Maryland, 2000-11. Scientific investigations report. i–42. 1 indexed citations
14.
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Norton, J.P. & Jeffrey G. Chanat. (2005). Linear time-varying models to investigate complex distributed dynamics: A rainfall-runoff example. Mathematics and Computers in Simulation. 69(1-2). 123–134. 3 indexed citations
16.
Rice, Karen C., Jeffrey G. Chanat, George M. Hornberger, & James R. Webb. (2004). Interpretation of concentration‐discharge patterns in acid‐neutralizing capacity during storm flow in three small, forested catchments in Shenandoah National Park, Virginia. Water Resources Research. 40(5). 19 indexed citations
17.
Chanat, Jeffrey G. & J.P. Norton. (2003). Interpreting hydrologic response using transfer function models with time-varying parameters: an example from the Virginia Blue Ridge. ANU Open Research (Australian National University). 3 indexed citations
18.
Norton, J.P. & Jeffrey G. Chanat. (2003). Assessing rainfall-runoff records for time invariance using transfer function models with time-varying parameters. ANU Open Research (Australian National University). 1 indexed citations
19.
Chanat, Jeffrey G. & George M. Hornberger. (2003). Modeling catchment‐scale mixing in the near‐stream zone—Implications for chemical and isotopic hydrograph separation. Geophysical Research Letters. 30(2). 14 indexed citations
20.
Chanat, Jeffrey G., Karen C. Rice, & George M. Hornberger. (2002). Consistency of patterns in concentration‐discharge plots. Water Resources Research. 38(8). 101 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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Breakdown of academic impact, for papers by Carolyn J. Oblinger Breakdown of academic impact, for papers by Tamara Kolbe Breakdown of academic impact, for papers by M. Faucheux Breakdown of academic impact, for papers by Zhaojiang Hou Breakdown of academic impact, for papers by Michael Weber Breakdown of academic impact, for papers by Silvia Terziotti Breakdown of academic impact, for papers by Hongyin Han Breakdown of academic impact, for papers by Lucy A. Rose Breakdown of academic impact, for papers by David Brito Breakdown of academic impact, for papers by Kristen L. Underwood
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