Eric D. Stein

4.5k total citations
128 papers, 3.3k citations indexed

About

Eric D. Stein is a scholar working on Ecology, Water Science and Technology and Nature and Landscape Conservation. According to data from OpenAlex, Eric D. Stein has authored 128 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Ecology, 50 papers in Water Science and Technology and 33 papers in Nature and Landscape Conservation. Recurrent topics in Eric D. Stein's work include Hydrology and Watershed Management Studies (42 papers), Hydrology and Sediment Transport Processes (31 papers) and Fish Ecology and Management Studies (30 papers). Eric D. Stein is often cited by papers focused on Hydrology and Watershed Management Studies (42 papers), Hydrology and Sediment Transport Processes (31 papers) and Fish Ecology and Management Studies (30 papers). Eric D. Stein collaborates with scholars based in United States, Australia and Canada. Eric D. Stein's co-authors include Yoram Cohen, Arthur M. Winer, Liesl L. Tiefenthaler, Drew Ackerman, Kenneth Schiff, Raphael D. Mazor, Jared M. Diamond, Peter E. Miller, Nikolay P. Nezlin and Stephen M. Secor and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Eric D. Stein

123 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric D. Stein United States 33 1.5k 880 818 680 486 128 3.3k
Grant C. Hose Australia 33 1.7k 1.1× 438 0.5× 532 0.7× 739 1.1× 294 0.6× 158 3.7k
Matthew E. Baker United States 28 1.6k 1.0× 977 1.1× 1.2k 1.5× 897 1.3× 721 1.5× 78 3.4k
Maciej Zalewski Poland 37 1.5k 1.0× 1.3k 1.5× 821 1.0× 1.0k 1.5× 372 0.8× 183 4.2k
Dietrich Borchardt Germany 34 917 0.6× 1.3k 1.5× 478 0.6× 597 0.9× 458 0.9× 129 3.5k
S. Jannicke Moe Norway 24 1.1k 0.7× 625 0.7× 503 0.6× 682 1.0× 162 0.3× 75 2.8k
Soon‐Jin Hwang South Korea 30 1.3k 0.9× 913 1.0× 366 0.4× 720 1.1× 320 0.7× 171 3.0k
Thomas Hein Austria 37 2.6k 1.7× 1.1k 1.2× 908 1.1× 1.1k 1.7× 214 0.4× 173 4.7k
R. L. Victória Brazil 46 2.0k 1.3× 1.3k 1.5× 1.5k 1.8× 1.1k 1.6× 543 1.1× 143 6.1k
Sebastian Birk Germany 33 2.2k 1.4× 916 1.0× 560 0.7× 1.3k 1.9× 166 0.3× 74 3.7k
Keisuke Koba Japan 44 2.5k 1.6× 448 0.5× 918 1.1× 477 0.7× 396 0.8× 142 5.6k

Countries citing papers authored by Eric D. Stein

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric D. Stein. 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 Eric D. Stein. The network helps show where Eric D. Stein may publish in the future.

Co-authorship network of co-authors of Eric D. Stein

This figure shows the co-authorship network connecting the top 25 collaborators of Eric D. Stein. A scholar is included among the top collaborators of Eric D. Stein 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 Eric D. Stein. Eric D. Stein 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.
Wolfand, Jordyn M., et al.. (2023). Impact of wastewater reuse on contaminants of emerging concern in an effluent-dominated river. Frontiers in Environmental Science. 11. 2 indexed citations
2.
Bledsoe, Brian P., et al.. (2023). Advancing stream classification and hydrologic modeling of ungaged basins for environmental flow management in coastal southern California. Hydrology and earth system sciences. 27(16). 3021–3039.
3.
Stein, Eric D., Christopher L. Jerde, Elizabeth Andruszkiewicz Allan, et al.. (2023). Critical considerations for communicating environmental DNA science. Environmental DNA. 6(1). 1–12. 11 indexed citations
4.
Buffington, Kevin J., et al.. (2022). Multi‐Decadal Simulation of Marsh Topography Under Sea Level Rise and Episodic Sediment Loads. Journal of Geophysical Research Earth Surface. 127(9). 9 indexed citations
5.
Stein, Eric D., et al.. (2022). Prioritizing Stream Protection, Restoration and Management Actions Using Landscape Modeling and Spatial Analysis. Water. 14(9). 1375–1375. 5 indexed citations
6.
Wolfand, Jordyn M., et al.. (2022). Dilution and Pollution: Assessing the Impacts of Water Reuse and Flow Reduction on Water Quality in the Los Angeles River Basin. ACS ES&T Water. 2(8). 1309–1319. 6 indexed citations
7.
8.
Stein, Eric D., et al.. (2020). The impact of climate change induced alterations of streamflow and stream temperature on the distribution of riparian species. PLoS ONE. 15(11). e0242682–e0242682. 14 indexed citations
9.
10.
Yarnell, Sarah M., Eric D. Stein, J. Angus Webb, et al.. (2020). A functional flows approach to selecting ecologically relevant flow metrics for environmental flow applications. River Research and Applications. 36(2). 318–324. 108 indexed citations
11.
Arthington, Angela H., Jonathan G. Kennen, Eric D. Stein, & J. Angus Webb. (2018). Recent advances in environmental flows science and water management—Innovation in the Anthropocene. Freshwater Biology. 63(8). 1022–1034. 140 indexed citations
12.
Sengupta, Ashmita, et al.. (2018). Tools for managing hydrologic alteration on a regional scale: Estimating changes in flow characteristics at ungauged sites. Freshwater Biology. 63(8). 769–785. 19 indexed citations
13.
Mazor, Raphael D., et al.. (2018). Tools for managing hydrologic alteration on a regional scale: Setting targets to protect stream health. Freshwater Biology. 63(8). 786–803. 22 indexed citations
14.
Kennen, Jonathan G., Eric D. Stein, & J. Angus Webb. (2018). Evaluating and managing environmental water regimes in a water‐scarce and uncertain future. Freshwater Biology. 63(8). 733–737. 21 indexed citations
15.
Guo, Leicheng, et al.. (2018). Tidal asymmetry and residual sediment transport in a short tidal basin under sea level rise. Advances in Water Resources. 121. 1–8. 48 indexed citations
16.
Howard, Meredith D.A., Raphael M. Kudela, Kendra Hayashi, et al.. (2017). Microcystin Prevalence throughout Lentic Waterbodies in Coastal Southern California. Toxins. 9(7). 231–231. 37 indexed citations
17.
Sengupta, Ashmita, Robert J. Hawley, & Eric D. Stein. (2017). Predicting Hydromodification in Streams Using Nonlinear Memory-Based Algorithms in Southern California Streams. Journal of Water Resources Planning and Management. 144(1). 4 indexed citations
18.
Stein, Eric D., et al.. (2015). How accurate are probability-based estimates of wetland extent? Results of a California validation study. Wetlands Ecology and Management. 24(3). 347–356. 2 indexed citations
19.
Lopez, S. R., T. S. Hogue, & Eric D. Stein. (2013). A framework for evaluating regional hydrologic sensitivity to climate change using archetypal watershed modeling. Hydrology and earth system sciences. 17(8). 3077–3094. 8 indexed citations
20.
Stein, Eric D. & Richard F. Ambrose. (2001). LANDSCAPE‐SCALE ANALYSIS AND MANAGEMENT OF CUMULATIVE IMPACTS TO RIPARIAN ECOSYSTEMS: PAST, PRESENT, AND FUTURE1. JAWRA Journal of the American Water Resources Association. 37(6). 1597–1614. 10 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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