Stephen E. Davis

2.5k total citations
68 papers, 1.8k citations indexed

About

Stephen E. Davis is a scholar working on Ecology, Oceanography and Earth-Surface Processes. According to data from OpenAlex, Stephen E. Davis has authored 68 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Ecology, 23 papers in Oceanography and 21 papers in Earth-Surface Processes. Recurrent topics in Stephen E. Davis's work include Coastal wetland ecosystem dynamics (42 papers), Coastal and Marine Dynamics (20 papers) and Marine and coastal ecosystems (10 papers). Stephen E. Davis is often cited by papers focused on Coastal wetland ecosystem dynamics (42 papers), Coastal and Marine Dynamics (20 papers) and Marine and coastal ecosystems (10 papers). Stephen E. Davis collaborates with scholars based in United States, Canada and United Kingdom. Stephen E. Davis's co-authors include Daniel L. Childers, Joseph N. Boyer, Tiffany G. Troxler, Fred H. Sklar, David T. Rudnick, John W. Day, Christopher J. Madden, Lisa G. Chambers, Víctor H. Rivera‐Monroy and Robert R. Twilley and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Ecology.

In The Last Decade

Stephen E. Davis

63 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen E. Davis United States 22 1.3k 549 440 315 264 68 1.8k
Todd Z. Osborne United States 25 1.4k 1.0× 288 0.5× 354 0.8× 326 1.0× 341 1.3× 84 2.0k
Christopher J. Madden United States 23 1.2k 0.9× 1.0k 1.8× 211 0.5× 331 1.1× 165 0.6× 47 1.7k
Enrique Reyes United States 19 1.2k 0.9× 332 0.6× 793 1.8× 461 1.5× 395 1.5× 34 1.8k
P. V. Sundareshwar United States 6 1.5k 1.1× 334 0.6× 873 2.0× 228 0.7× 425 1.6× 6 1.9k
Stephen W. Broome United States 21 1.7k 1.2× 400 0.7× 563 1.3× 249 0.8× 261 1.0× 51 2.0k
S. Van Damme Belgium 22 834 0.6× 631 1.1× 236 0.5× 304 1.0× 280 1.1× 40 1.8k
G. Paul Kemp United States 21 1.2k 0.9× 228 0.4× 776 1.8× 373 1.2× 429 1.6× 42 1.7k
John A. Nyman United States 26 1.9k 1.5× 290 0.5× 985 2.2× 422 1.3× 437 1.7× 77 2.6k
Robert R. Lane United States 31 1.6k 1.2× 385 0.7× 650 1.5× 529 1.7× 344 1.3× 64 2.3k
Jonathan Clough United States 9 1.4k 1.1× 235 0.4× 864 2.0× 325 1.0× 445 1.7× 22 1.8k

Countries citing papers authored by Stephen E. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Davis. 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 Stephen E. Davis. The network helps show where Stephen E. Davis may publish in the future.

Co-authorship network of co-authors of Stephen E. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen E. Davis. A scholar is included among the top collaborators of Stephen E. Davis 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 Stephen E. Davis. Stephen E. Davis 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.
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Julian, Paul, et al.. (2024). An early-warning forecast model for red tide (Karenia brevis) blooms on the southwest coast of Florida. Harmful Algae. 139. 102729–102729. 2 indexed citations
3.
Julian, Paul & Stephen E. Davis. (2024). Evaluating water quality change with hydrologic restoration in the Western Everglades (Florida, USA), an application of WAM. SHILAP Revista de lepidopterología. 6. 70–83. 1 indexed citations
4.
Abiy, Anteneh Z., et al.. (2022). Multilayer Feedforward Artificial Neural Network Model to Forecast Florida Bay Salinity with Climate Change. Water. 14(21). 3495–3495. 5 indexed citations
5.
Khare, Yogesh, Rajendra Paudel, Ruscena Wiederholt, et al.. (2021). Watershed Response to Legacy Phosphorus and Best Management Practices in an Impacted Agricultural Watershed in Florida, U.S.A.. Land. 10(9). 977–977. 17 indexed citations
6.
Paudel, Rajendra, et al.. (2020). Assessing the Hydrologic Response of Key Restoration Components to Everglades Ecosystem. Journal of Water Resources Planning and Management. 146(11). 14 indexed citations
7.
Swannack, Todd M., et al.. (2019). A Tool for Rapid Assessment of Hydrological Connectivity Patterns in Texas Coastal Wetlands: Linkages between Tidal Creeks and Coastal Ponds. SHILAP Revista de lepidopterología. 10(1). 46–59. 1 indexed citations
8.
Wilson, Benjamin J., John S. Kominoski, Minjie Hu, et al.. (2018). Salinity pulses interact with seasonal dry‐down to increase ecosystem carbon loss in marshes of the Florida Everglades. Ecological Applications. 28(8). 2092–2108. 38 indexed citations
9.
Wilson, Benjamin J., Sean P. Charles, Stephen E. Davis, et al.. (2018). Declines in Plant Productivity Drive Carbon Loss from Brackish Coastal Wetland Mesocosms Exposed to Saltwater Intrusion. Estuaries and Coasts. 41(8). 2147–2158. 45 indexed citations
10.
Cooper, Hannah M., Caiyun Zhang, Stephen E. Davis, & Tiffany G. Troxler. (2018). Object-based correction of LiDAR DEMs using RTK-GPS data and machine learning modeling in the coastal Everglades. Environmental Modelling & Software. 112. 179–191. 35 indexed citations
11.
Davis, Stephen E., Ross E. Boucek, Edward Castañeda‐Moya, et al.. (2018). Episodic disturbances drive nutrient dynamics along freshwater‐to‐estuary gradients in a subtropical wetland. Ecosphere. 9(6). 15 indexed citations
12.
13.
Briceño, Henry O., et al.. (2013). Relating Freshwater Flow with Estuarine Water Quality in the Southern Everglades Mangrove Ecotone. Wetlands. 34(S1). 101–111. 16 indexed citations
14.
Chambers, Lisa G., Stephen E. Davis, Tiffany G. Troxler, et al.. (2013). Biogeochemical effects of simulated sea level rise on carbon loss in an Everglades mangrove peat soil. Hydrobiologia. 726(1). 195–211. 98 indexed citations
15.
Roelke, Daniel L., et al.. (2008). The role of inflow magnitude and frequency on plankton communities from the Guadalupe Estuary, Texas, USA: Findings from microcosm experiments. Estuarine Coastal and Shelf Science. 80(1). 67–73. 21 indexed citations
16.
Rivera‐Monroy, Víctor H., et al.. (2007). Patterns of nutrient exchange in a riverine mangrove forest in the Shark River Estuary, Florida, USA. Hidrobiológica. 17(2). 169–178. 17 indexed citations
17.
18.
Pakhomov, EA, et al.. (2005). Diet and daily ration of two nototheniid fish on the shelf of the sub-Antarctic Prince Edward Islands. Polar Biology. 28(8). 585–593. 23 indexed citations
19.
Davis, Stephen E., et al.. (1981). The Alternatives and Impacts Associated with a Future Water Source Transition for Tucson Water. UA Campus Repository (The University of Arizona).
20.
Davis, Stephen E.. (1972). Sex Induction in Equisetum arvense L.. Digital Well (University of Minnesota Morris). 38(2). 93–95. 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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