Michael L. Deas

681 total citations
20 papers, 534 citations indexed

About

Michael L. Deas is a scholar working on Nature and Landscape Conservation, Water Science and Technology and Environmental Chemistry. According to data from OpenAlex, Michael L. Deas has authored 20 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nature and Landscape Conservation, 15 papers in Water Science and Technology and 12 papers in Environmental Chemistry. Recurrent topics in Michael L. Deas's work include Fish Ecology and Management Studies (15 papers), Soil and Water Nutrient Dynamics (11 papers) and Hydrology and Watershed Management Studies (7 papers). Michael L. Deas is often cited by papers focused on Fish Ecology and Management Studies (15 papers), Soil and Water Nutrient Dynamics (11 papers) and Hydrology and Watershed Management Studies (7 papers). Michael L. Deas collaborates with scholars based in United States, United Kingdom and France. Michael L. Deas's co-authors include Stacy K. Tanaka, Sarah E. Null, Randy A. Dahlgren, Jeffrey F. Mount, Joshua H. Viers, Dale A. McCullough, John M. Bartholow, Joseph L. Ebersole, Robert L. Beschta and Wayne A. Wurtsbaugh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Climatic Change.

In The Last Decade

Michael L. Deas

18 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael L. Deas United States 9 372 296 273 82 79 20 534
Rebecca L. Wingate United States 7 443 1.2× 315 1.1× 249 0.9× 75 0.9× 276 3.5× 8 685
Katie H. Costigan United States 11 333 0.9× 498 1.7× 428 1.6× 105 1.3× 175 2.2× 16 736
Daniel A. Auerbach United States 11 236 0.6× 336 1.1× 199 0.7× 48 0.6× 169 2.1× 13 571
Amael Paillex Switzerland 16 435 1.2× 685 2.3× 169 0.6× 95 1.2× 116 1.5× 28 817
Erland A. MacIsaac Canada 11 339 0.9× 411 1.4× 173 0.6× 166 2.0× 109 1.4× 17 584
Nick Marsh Australia 7 450 1.2× 488 1.6× 428 1.6× 77 0.9× 212 2.7× 15 773
Sally Maxwell Australia 5 129 0.3× 168 0.6× 184 0.7× 41 0.5× 180 2.3× 6 443
N. J. Mantua United States 6 252 0.7× 222 0.8× 248 0.9× 39 0.5× 234 3.0× 10 508
Kevin E. Wehrly United States 16 764 2.1× 663 2.2× 334 1.2× 147 1.8× 146 1.8× 31 976
Dan Isaak United States 7 274 0.7× 295 1.0× 182 0.7× 35 0.4× 89 1.1× 9 449

Countries citing papers authored by Michael L. Deas

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Deas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Deas. 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 Michael L. Deas. The network helps show where Michael L. Deas may publish in the future.

Co-authorship network of co-authors of Michael L. Deas

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Deas. A scholar is included among the top collaborators of Michael L. Deas 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 Michael L. Deas. Michael L. Deas 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.
Deas, Michael L., et al.. (2024). Geologically-derived nitrogen and phosphorus as a source of riverine nutrients. SHILAP Revista de lepidopterología. 1(1). 100003–100003. 1 indexed citations
2.
Tanaka, Stacy K., et al.. (2023). Managing cyanobacteria with a water quality control curtain in Iron Gate Reservoir, California. Lake and Reservoir Management. 39(4). 291–310. 1 indexed citations
3.
Jeffres, Carson A., et al.. (2017). Seasonal aquatic macrophytes reduce water temperatures via a riverine canopy in a spring-fed stream. Freshwater Science. 36(3). 508–522. 15 indexed citations
4.
Spencer, Robert G. M., et al.. (2016). Impact of seasonality and anthropogenic impoundments on dissolved organic matter dynamics in the Klamath River (Oregon/California, USA). Journal of Geophysical Research Biogeosciences. 121(7). 1946–1958. 32 indexed citations
5.
Campbell, Amy M., et al.. (2015). Instream Flows: New Tools to Quantify Water Quality Conditions for Returning Adult Chinook Salmon. Journal of Water Resources Planning and Management. 142(2). 7 indexed citations
6.
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8.
Sullivan, Annett B., et al.. (2013). Macrophyte and pH buffering updates to the Klamath River water-quality model upstream of Keno Dam, Oregon. Scientific investigations report. 4 indexed citations
9.
Jeffres, Carson A., et al.. (2013). WATER TEMPERATURE PATTERNS BELOW LARGE GROUNDWATER SPRINGS: MANAGEMENT IMPLICATIONS FOR COHO SALMON IN THE SHASTA RIVER, CALIFORNIA. River Research and Applications. 30(4). 442–455. 28 indexed citations
10.
Sullivan, Annett B., et al.. (2013). Modeling the Water - Quality Effects of Changes to the Klamath River Upstream of Keno Dam, Oregon. Scientific investigations report. 6 indexed citations
11.
Null, Sarah E., Joshua H. Viers, Michael L. Deas, Stacy K. Tanaka, & Jeffrey F. Mount. (2012). Stream temperature sensitivity to climate warming in California’s Sierra Nevada: impacts to coldwater habitat. Climatic Change. 116(1). 149–170. 80 indexed citations
12.
13.
Sullivan, Annett B., et al.. (2011). Modeling hydrodynamics, water temperature, and water quality in the Klamath River upstream of Keno Dam, Oregon, 2006-09. Scientific investigations report. 3 indexed citations
14.
McCullough, Dale A., John M. Bartholow, Henriëtte I. Jager, et al.. (2009). Research in Thermal Biology: Burning Questions for Coldwater Stream Fishes. Reviews in Fisheries Science. 17(1). 90–115. 175 indexed citations
15.
Mount, Jeffrey F., Peter B. Moyle, Michael L. Deas, et al.. (2009). Baseline Assessment of Physical and Biological Conditions Within Waterways on Big Springs Ranch, Siskiyou County, California. Digital Commons - USU (Utah State University). 8 indexed citations
16.
Sullivan, Annett B., et al.. (2009). Klamath River Water Quality Data from Link River Dam to Keno Dam, Oregon, 2008. Antarctica A Keystone in a Changing World. 3 indexed citations
17.
Null, Sarah E., Michael L. Deas, & Jay R. Lund. (2009). Flow and water temperature simulation for habitat restoration in the Shasta River, California. River Research and Applications. 26(6). 663–681. 35 indexed citations
18.
Sullivan, Annett B., et al.. (2008). Klamath River Water Quality and Acoustic Doppler Current Profiler Data from Link River Dam to Keno Dam, 2007. Antarctica A Keystone in a Changing World. 11 indexed citations
19.
Deas, Michael L., et al.. (2007). Salmonid observations at a Klamath River thermal refuge under various hydrological and meteorological conditions. River Research and Applications. 23(7). 775–785. 73 indexed citations
20.
Deas, Michael L. & Gerald T. Orlob. (1997). Iterative Calibration of Hydrodynamic and Temperature Models - Application to the Sacramento River. 755–760. 1 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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