Gregory E. Tucker

18.3k total citations · 3 hit papers
182 papers, 13.1k citations indexed

About

Gregory E. Tucker is a scholar working on Ecology, Soil Science and Atmospheric Science. According to data from OpenAlex, Gregory E. Tucker has authored 182 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Ecology, 67 papers in Soil Science and 64 papers in Atmospheric Science. Recurrent topics in Gregory E. Tucker's work include Hydrology and Sediment Transport Processes (81 papers), Soil erosion and sediment transport (66 papers) and Geology and Paleoclimatology Research (52 papers). Gregory E. Tucker is often cited by papers focused on Hydrology and Sediment Transport Processes (81 papers), Soil erosion and sediment transport (66 papers) and Geology and Paleoclimatology Research (52 papers). Gregory E. Tucker collaborates with scholars based in United States, United Kingdom and New Zealand. Gregory E. Tucker's co-authors include K. X. Whipple, Rafael L. Bras, Rudy Slingerland, Dorothy J. Merritts, Noah P. Snyder, Robert S. Anderson, Gerald Roberts, Alexander C. Whittaker, Mikaël Attal and Gregory Hancock and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Earth and Planetary Science Letters.

In The Last Decade

Gregory E. Tucker

171 papers receiving 12.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dynamics of the stream‐power river incision model: Implications for height limits of mountain ranges, landscape response timescales, and research needs

1999 1.7k citations K. X. Whipple, Gregory E. Tucker profile →
Landscape response to tectonic forcing: Digital elevation model analysis of stream profiles in the Mendocino triple junction region, northern California

2000 760 citations Noah P. Snyder, K. X. Whipple et al. profile →
Implications of sediment‐flux‐dependent river incision models for landscape evolution

2002 556 citations K. X. Whipple, Gregory E. Tucker profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory E. Tucker United States	57	6.0k	5.5k	4.9k	4.3k	3.5k	182	13.1k
David R. Montgomery United States	52	4.5k 0.7×	2.8k 0.5×	2.2k 0.4×	4.4k 1.0×	3.0k 0.8×	124	11.5k
Niels Hovius Germany	61	5.6k 0.9×	3.4k 0.6×	2.9k 0.6×	5.8k 1.4×	1.9k 0.5×	167	12.2k
Chris Paola United States	66	5.0k 0.8×	8.1k 1.5×	7.8k 1.6×	1.1k 0.3×	3.5k 1.0×	186	12.7k
Gary Parker United States	82	4.4k 0.7×	15.4k 2.8×	10.6k 2.2×	2.3k 0.5×	8.8k 2.5×	362	20.3k
Bodo Bookhagen Germany	62	8.2k 1.4×	1.9k 0.3×	2.1k 0.4×	2.1k 0.5×	895 0.3×	207	13.3k
David R. Montgomery United States	59	3.1k 0.5×	9.9k 1.8×	2.2k 0.5×	4.4k 1.0×	6.8k 1.9×	115	16.5k
Stanley A. Schumm United States	44	3.3k 0.6×	5.9k 1.1×	4.1k 0.8×	1.4k 0.3×	4.2k 1.2×	113	11.7k
Victor R. Baker United States	62	6.0k 1.0×	3.3k 0.6×	2.4k 0.5×	1.3k 0.3×	1.2k 0.3×	354	12.5k
John J. Clague Canada	61	9.0k 1.5×	1.8k 0.3×	2.2k 0.5×	5.0k 1.2×	465 0.1×	351	13.6k
Michael P. Lamb United States	52	3.2k 0.5×	3.7k 0.7×	3.3k 0.7×	1.7k 0.4×	1.6k 0.4×	209	7.7k

Countries citing papers authored by Gregory E. Tucker

Since Specialization

Citations

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

Fields of papers citing papers by Gregory E. Tucker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory E. Tucker

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hutton, Eric, Mark Piper, & Gregory E. Tucker. (2022). The Babelizer: language interoperability for modelcoupling in the geosciences. The Journal of Open Source Software. 7(71). 3344–3344. 4 indexed citations

Campforts, Benjamin, Charles M. Shobe, Irina Overeem, & Gregory E. Tucker. (2022). The Art of Landslides: How Stochastic Mass Wasting Shapes Topography and Influences Landscape Dynamics. Journal of Geophysical Research Earth Surface. 127(8). 31 indexed citations

Tucker, Gregory E., et al.. (2021). Groundwater Affects the Geomorphic and Hydrologic Properties of Coevolved Landscapes. Journal of Geophysical Research Earth Surface. 127(1). 19 indexed citations

Kochanski, Kelly, Gregory E. Tucker, & Robert S. Anderson. (2021). Snow dune growth increases polar heat fluxes.

Barnhart, Katherine R., Gregory E. Tucker, Rachel Glade, et al.. (2020). Projections of Landscape Evolution on a 10,000 Year Timescale With Assessment and Partitioning of Uncertainty Sources. Journal of Geophysical Research Earth Surface. 125(12). 10 indexed citations

Duvall, Alison R., et al.. (2019). The Timing and Style of Oblique Deformation Within New Zealand's Kaikōura Ranges and Marlborough Fault System Based on Low‐Temperature Thermochronology. Tectonics. 38(4). 1250–1272. 24 indexed citations

Barnhart, Katherine R., Rachel Glade, Charles M. Shobe, & Gregory E. Tucker. (2019). Terrainbento 1.0: a Python package for multi-model analysis in long-term drainage basin evolution. Geoscientific model development. 12(4). 1267–1297. 24 indexed citations

Kochanski, Kelly, Robert S. Anderson, & Gregory E. Tucker. (2019). The evolution of snow bedforms in the Colorado Front Range and the processes that shape them. The cryosphere. 13(4). 1267–1281. 11 indexed citations

Langston, Abigail L. & Gregory E. Tucker. (2018). Developing and exploring a theory for the lateral erosion of bedrock channels for use in landscape evolution models. Earth Surface Dynamics. 6(1). 1–27. 49 indexed citations

10.

İstanbulluoğlu, Erkan, et al.. (2018). A hydroclimatological approach to predicting regional landslide probability using Landlab. Earth Surface Dynamics. 6(1). 49–75. 26 indexed citations

11.

Hobley, Daniel E. J., J. M. Adams, Sai Siddhartha Nudurupati, et al.. (2017). Creative computing with Landlab: an open-source toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics. Earth Surface Dynamics. 5(1). 21–46. 157 indexed citations

12.

Adams, J. M., N. M. Gasparini, Daniel E. J. Hobley, et al.. (2017). The Landlab v1.0 OverlandFlow component: a Python tool for computing shallow-water flow across watersheds. Geoscientific model development. 10(4). 1645–1663. 39 indexed citations

13.

Adams, J. M., N. M. Gasparini, Daniel E. J. Hobley, et al.. (2016). The Landlab OverlandFlow component: a Python library forcomputing shallow-water flow across watersheds. ORCA Online Research @Cardiff (Cardiff University). 1 indexed citations

14.

Tucker, Gregory E., Daniel E. J. Hobley, Eric Hutton, et al.. (2016). CellLab-CTS 2015: continuous-time stochastic cellular automaton modeling using Landlab. Geoscientific model development. 9(2). 823–839. 15 indexed citations

15.

Tucker, Gregory E., Daniel E. J. Hobley, Eric Hutton, et al.. (2015). CellLab-CTS 2015: a Python library for continuous-time stochastic cellular automaton modeling using Landlab. 1 indexed citations

16.

Tucker, Gregory E., Daniel E. J. Hobley, N. M. Gasparini, et al.. (2013). Creative Computing with Landlab: Open-Source Python Software for Building and Exploring 2D Models of Earth-Surface Dynamics. AGU Fall Meeting Abstracts. 2013. 1 indexed citations

17.

Koons, P. O., et al.. (2013). Linking Earth and Atmosphere at Higher Frequencies with the Failure Earth Response Model (Invited). AGUFM. 2013. 1 indexed citations

18.

Yanites, Brian J., et al.. (2007). Structural Controls on Channel Geometry and Dynamics in the Peikang River, Central Taiwan. AGU Fall Meeting Abstracts. 2007. 1 indexed citations

19.

Tucker, Gregory E., et al.. (2003). The effect of limited storm duration on landscape evolution, drainage basin geometry and hydrograph shapes. EGS - AGU - EUG Joint Assembly. 4479. 1 indexed citations

20.

Snyder, Noah P., K. X. Whipple, Gregory E. Tucker, & Dorothy J. Merritts. (2001). Modeling stochastic floods and erosion thresholds in bedrock rivers: Field data from northern California. AGUFM. 2001. 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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