Daniel R. Wise

415 total citations
20 papers, 295 citations indexed

About

Daniel R. Wise is a scholar working on Water Science and Technology, Environmental Chemistry and Nature and Landscape Conservation. According to data from OpenAlex, Daniel R. Wise has authored 20 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Water Science and Technology, 13 papers in Environmental Chemistry and 4 papers in Nature and Landscape Conservation. Recurrent topics in Daniel R. Wise's work include Hydrology and Watershed Management Studies (14 papers), Soil and Water Nutrient Dynamics (13 papers) and Water Quality and Resources Studies (6 papers). Daniel R. Wise is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Soil and Water Nutrient Dynamics (13 papers) and Water Quality and Resources Studies (6 papers). Daniel R. Wise collaborates with scholars based in United States. Daniel R. Wise's co-authors include Henry M. Johnson, Matthew P. Miller, Olivia Miller, Daniel K. Jones, J. R. Alder, Annie Putman, Jim E. O’Connor, David W. Anning, Fred D. Tillman and R. Blaine McCleskey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geological Society of America Bulletin and Applied Geochemistry.

In The Last Decade

Daniel R. Wise

19 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel R. Wise United States 11 189 103 65 55 44 20 295
Ina Pohle United Kingdom 10 185 1.0× 121 1.2× 100 1.5× 71 1.3× 25 0.6× 26 338
Cornelia Hesse Germany 12 275 1.5× 152 1.5× 118 1.8× 77 1.4× 21 0.5× 16 367
Amina Taleb Algeria 11 145 0.8× 103 1.0× 53 0.8× 88 1.6× 48 1.1× 23 393
Inese Huttunen Finland 9 171 0.9× 195 1.9× 74 1.1× 86 1.6× 20 0.5× 17 353
Diogo Costa Canada 10 196 1.0× 97 0.9× 82 1.3× 47 0.9× 33 0.8× 30 354
Nouria Belaidi Algeria 8 132 0.7× 83 0.8× 52 0.8× 69 1.3× 46 1.0× 15 255
Hongyin Han China 4 271 1.4× 131 1.3× 58 0.9× 61 1.1× 100 2.3× 6 395
Marie Korppoo Finland 8 157 0.8× 181 1.8× 62 1.0× 111 2.0× 27 0.6× 12 365
Xiaoge Bu China 8 215 1.1× 252 2.4× 50 0.8× 67 1.2× 26 0.6× 11 553
Yongqiang Zhao China 9 136 0.7× 187 1.8× 120 1.8× 88 1.6× 34 0.8× 19 429

Countries citing papers authored by Daniel R. Wise

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Wise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Wise

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Wise. A scholar is included among the top collaborators of Daniel R. Wise 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 Daniel R. Wise. Daniel R. Wise 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.
Wise, Daniel R., et al.. (2025). Effects of climate on temporal variability in streamflow and salinity in the Upper Colorado River Basin. Journal of Hydrology Regional Studies. 61. 102672–102672.
2.
Wise, Daniel R., et al.. (2024). Database of surface water diversion sites and daily withdrawals for the Upper Colorado River Basin, 1980–2022. Scientific Data. 11(1). 1266–1266. 3 indexed citations
3.
Tillman, Fred D., et al.. (2024). Salinity or sum of constituents—Methods comparison for computing dissolved solids concentrations in streams of the Upper Colorado River Basin. PLOS Water. 3(12). e0000310–e0000310. 1 indexed citations
4.
McCleskey, R. Blaine, Charles A. Cravotta, Matthew P. Miller, et al.. (2023). Salinity and total dissolved solids measurements for natural waters: An overview and a new salinity method based on specific conductance and water type. Applied Geochemistry. 154. 105684–105684. 29 indexed citations
5.
Tillman, Fred D., Matthew P. Miller, Olivia Miller, et al.. (2022). A Review of Current Capabilities and Science Gaps in Water Supply Data, Modeling, and Trends for Water Availability Assessments in the Upper Colorado River Basin. Water. 14(23). 3813–3813. 14 indexed citations
6.
O’Connor, Jim E., et al.. (2021). Eroding Cascadia—Sediment and solute transport and landscape denudation in western Oregon and northwestern California. Geological Society of America Bulletin. 133(9-10). 1851–1874. 4 indexed citations
7.
Miller, Olivia, Annie Putman, J. R. Alder, et al.. (2021). Changing climate drives future streamflow declines and challenges in meeting water demand across the southwestern United States. SHILAP Revista de lepidopterología. 11. 100074–100074. 58 indexed citations
8.
Wise, Daniel R., David W. Anning, & Olivia Miller. (2019). Spatially referenced models of streamflow and nitrogen, phosphorus, and suspended-sediment transport in streams of the southwestern United States. Scientific investigations report. 15 indexed citations
10.
11.
Wise, Daniel R.. (2018). Updates to the suspended sediment SPARROW model developed for western Oregon and northwestern California. Scientific investigations report. 3 indexed citations
12.
Wise, Daniel R. & Jim E. O’Connor. (2016). A spatially explicit suspended-sediment load model for western Oregon. Scientific investigations report. 16 indexed citations
13.
Chang, Heejun, Il‐Won Jung, Angela L. Strecker, et al.. (2013). Water Supply, Demand, and Quality Indicators for Assessing the Spatial Distribution of Water Resource Vulnerability in the Columbia River Basin. ATMOSPHERE-OCEAN. 51(4). 339–356. 21 indexed citations
15.
Wise, Daniel R. & Henry M. Johnson. (2013). Application of the SPARROW model to assess surface-water nutrient conditions and sources in the United States Pacific Northwest. Scientific investigations report. 10 indexed citations
16.
Hearn, G. J., et al.. (2012). Assessing the potential for future first-time slope failures to impact the oil and gas pipeline corridor through the Makarov Mountains, Sakhalin Island, Russia. Quarterly Journal of Engineering Geology and Hydrogeology. 45(1). 79–88. 15 indexed citations
17.
Wise, Daniel R. & Henry M. Johnson. (2011). Surface-Water Nutrient Conditions and Sources in the United States Pacific Northwest1. JAWRA Journal of the American Water Resources Association. 47(5). 1110–1135. 54 indexed citations
18.
Wise, Daniel R., et al.. (2009). Assessment of Eutrophication in the Lower Yakima River Basin, Washington, 2004-07. Scientific investigations report. 1 indexed citations
19.
Wise, Daniel R., et al.. (2007). Nutrient and Suspended-Sediment Transport and Trends in the Columbia River and Puget Sound Basins, 1993-2003. Scientific investigations report. 12 indexed citations
20.
Johnson, Henry M., et al.. (2004). Water Quality in the Yakima River Basin, Washington, 1999-2000. U.S. Geological Survey circular. 14 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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