Brian Staab

590 total citations
9 papers, 327 citations indexed

About

Brian Staab is a scholar working on Ecology, Water Science and Technology and Nature and Landscape Conservation. According to data from OpenAlex, Brian Staab has authored 9 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 5 papers in Water Science and Technology and 3 papers in Nature and Landscape Conservation. Recurrent topics in Brian Staab's work include Hydrology and Watershed Management Studies (5 papers), Hydrology and Sediment Transport Processes (5 papers) and Cryospheric studies and observations (3 papers). Brian Staab is often cited by papers focused on Hydrology and Watershed Management Studies (5 papers), Hydrology and Sediment Transport Processes (5 papers) and Cryospheric studies and observations (3 papers). Brian Staab collaborates with scholars based in United States and United Kingdom. Brian Staab's co-authors include Charles H. Luce, Marc G. Kramer, Dan Isaak, Seth J. Wenger, Mohammad Safeeq, Gordon E. Grant, Brian Cluer, Colin R. Thorne, Sarah L. Lewis and Jessica E. Halofsky and has published in prestigious journals such as Water Resources Research, Hydrological Processes and Hydrology and earth system sciences.

In The Last Decade

Brian Staab

8 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Staab United States	7	180	167	130	108	52	9	327
Geoff Petts United Kingdom	6	171 0.9×	214 1.3×	134 1.0×	73 0.7×	44 0.8×	11	316
Andrew Pike United States	11	168 0.9×	218 1.3×	214 1.6×	141 1.3×	24 0.5×	15	393
N. J. Mantua United States	6	248 1.4×	222 1.3×	252 1.9×	234 2.2×	78 1.5×	10	508
David Hockman‐Wert United States	9	189 1.1×	226 1.4×	181 1.4×	116 1.1×	34 0.7×	15	351
Christina Papadaki Greece	13	248 1.4×	232 1.4×	228 1.8×	132 1.2×	16 0.3×	19	417
Roger Calvez France	12	200 1.1×	210 1.3×	95 0.7×	180 1.7×	70 1.3×	26	468
Evan C. Wolf United States	6	61 0.3×	281 1.7×	61 0.5×	121 1.1×	74 1.4×	8	376
John W. Tilleard Australia	6	147 0.8×	302 1.8×	119 0.9×	109 1.0×	43 0.8×	8	410
Jacob S. Diamond France	13	170 0.9×	213 1.3×	166 1.3×	108 1.0×	35 0.7×	25	395
Justin K. Reale United States	9	93 0.5×	134 0.8×	106 0.8×	188 1.7×	27 0.5×	13	322

Countries citing papers authored by Brian Staab

Since Specialization

Citations

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

Fields of papers citing papers by Brian Staab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Staab. 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 Brian Staab. The network helps show where Brian Staab may publish in the future.

Co-authorship network of co-authors of Brian Staab

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Staab. A scholar is included among the top collaborators of Brian Staab 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 Brian Staab. Brian Staab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Burnett, Jonathan D., Kristin L. Jaeger, Sherri L. Johnson, et al.. (2025). A Streamflow Permanence Classification Model for Forested Streams That Explicitly Accounts for Uncertainty and Extrapolation. Water Resources Research. 61(7).

Staab, Brian, et al.. (2022). Rediscovering, reevaluating, and restoring Entiatqua: Identifying pre‐Anthropocene valleys in North Cascadia, USA. River Research and Applications. 38(9). 1527–1543. 5 indexed citations

Flitcroft, Rebecca, Brian Staab, J. Ryan Bellmore, et al.. (2022). Rehabilitating Valley Floors to a Stage 0 Condition: A Synthesis of Opening Outcomes. Frontiers in Environmental Science. 10. 25 indexed citations

Wohl, Ellen, Janine M. Castro, Brian Cluer, et al.. (2021). Rediscovering, Reevaluating, and Restoring Lost River-Wetland Corridors. Frontiers in Earth Science. 9. 61 indexed citations

Isaak, Daniel J., Michael K. Young, Brett B. Roper, et al.. (2018). Crowd-Sourced Databases as Essential Elements for Forest Service Partnerships and Aquatic Resource Conservation. Fisheries. 43(9). 423–430. 15 indexed citations

Luce, Charles H., et al.. (2018). Effects of climate change on hydrology and water resources in the Blue Mountains, Oregon, USA. Climate Services. 10. 9–19. 60 indexed citations

Safeeq, Mohammad, Gordon E. Grant, Sarah L. Lewis, & Brian Staab. (2015). Predicting landscape sensitivity to present and future floods in the Pacific Northwest, USA. Hydrological Processes. 29(26). 5337–5353. 15 indexed citations

Safeeq, Mohammad, Gordon E. Grant, Sarah L. Lewis, Marc G. Kramer, & Brian Staab. (2014). A hydrogeologic framework for characterizing summer streamflow sensitivity to climate warming in the Pacific Northwest, USA. Hydrology and earth system sciences. 18(9). 3693–3710. 31 indexed citations

Luce, Charles H., et al.. (2014). Sensitivity of summer stream temperatures to climate variability in the Pacific Northwest. Water Resources Research. 50(4). 3428–3443. 115 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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