Ethan Shavers

594 total citations · 1 hit paper
19 papers, 455 citations indexed

About

Ethan Shavers is a scholar working on Water Science and Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, Ethan Shavers has authored 19 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 9 papers in Global and Planetary Change and 5 papers in Ecology. Recurrent topics in Ethan Shavers's work include Hydrology and Watershed Management Studies (10 papers), Flood Risk Assessment and Management (8 papers) and Hydrology and Sediment Transport Processes (4 papers). Ethan Shavers is often cited by papers focused on Hydrology and Watershed Management Studies (10 papers), Flood Risk Assessment and Management (8 papers) and Hydrology and Sediment Transport Processes (4 papers). Ethan Shavers collaborates with scholars based in United States, Italy and United Kingdom. Ethan Shavers's co-authors include Abduwasit Ghulam, Lawrence V. Stanislawski, Sean Hartling, Joel G. Burken, Kyle T. Peterson, Felix Fritschi, Jim Peterson, Maitiniyazi Maimaitijiang, Jack Fishman and Suhas Kadam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Tectonophysics.

In The Last Decade

Ethan Shavers

19 papers receiving 449 citations

Hit Papers

Unmanned Aerial System (UAS)-based phenotyping of soybean... 2017 2026 2020 2023 2017 100 200 300
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.

  1. Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
    2017 303 citations Maitiniyazi Maimaitijiang, Abduwasit Ghulam et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ethan Shavers United States 8 279 193 186 115 60 19 455
B. Aragon Saudi Arabia 13 269 1.0× 178 0.9× 202 1.1× 171 1.5× 51 0.8× 19 555
Matteo G. Ziliani Saudi Arabia 12 255 0.9× 154 0.8× 285 1.5× 139 1.2× 43 0.7× 18 522
Xun Yu China 12 314 1.1× 202 1.0× 290 1.6× 105 0.9× 43 0.7× 34 583
Mingchao Shao China 10 279 1.0× 179 0.9× 250 1.3× 91 0.8× 39 0.7× 13 450
Joel Segarra Spain 7 303 1.1× 135 0.7× 229 1.2× 122 1.1× 18 0.3× 20 502
Seungtaek Jeong South Korea 16 352 1.3× 157 0.8× 229 1.2× 237 2.1× 44 0.7× 44 606
V. C. Patil India 9 170 0.6× 89 0.5× 241 1.3× 135 1.2× 62 1.0× 50 462
Zurui Ao China 14 240 0.9× 288 1.5× 139 0.7× 171 1.5× 33 0.6× 26 558
Claudio Belli Italy 7 405 1.5× 348 1.8× 286 1.5× 202 1.8× 41 0.7× 9 712
Andres M. Ticlavilca United States 11 155 0.6× 197 1.0× 111 0.6× 150 1.3× 99 1.6× 16 433

Countries citing papers authored by Ethan Shavers

Since Specialization
Citations

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

Fields of papers citing papers by Ethan Shavers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ethan Shavers

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

All Works

19 of 19 papers shown
1.
Wang, Shaowen, Lawrence V. Stanislawski, Ethan Shavers, et al.. (2024). Transfer learning with convolutional neural networks for hydrological streamline delineation. Environmental Modelling & Software. 181. 106165–106165. 6 indexed citations
2.
Costabile, Pierfranco, et al.. (2024). Unravelling spatial heterogeneity of inundation pattern domains for 2D analysis of fluvial landscapes and drainage networks. Journal of Hydrology. 632. 130728–130728. 13 indexed citations
3.
Stanislawski, Lawrence V., Barry J. Kronenfeld, Barbara P. Buttenfield, & Ethan Shavers. (2023). At what scales does a river meander? Scale-specific sinuosity (S3) metric for quantifying stream meander size distribution. Geomorphology. 436. 108734–108734. 4 indexed citations
4.
Shavers, Ethan, et al.. (2023). Automated mapping of culverts, bridges, and dams. Abstracts of the ICA. 6. 1–2. 1 indexed citations
5.
Kronenfeld, Barry J., Lawrence V. Stanislawski, Barbara P. Buttenfield, & Ethan Shavers. (2022). Interactive Procedure for Localized Monitoring and Control of Polyline Simplification. Abstracts of the ICA. 4. 1–3. 1 indexed citations
6.
Jiang, Zhe, et al.. (2022). Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels. ACM Transactions on Intelligent Systems and Technology. 13(2). 1–20. 11 indexed citations
7.
Stanislawski, Lawrence V., Ethan Shavers, Shaowen Wang, et al.. (2021). Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling. Remote Sensing. 13(12). 2368–2368. 26 indexed citations
8.
Xu, Zewei, Shaowen Wang, Lawrence V. Stanislawski, et al.. (2021). An attention U-Net model for detection of fine-scale hydrologic streamlines. Environmental Modelling & Software. 140. 104992–104992. 44 indexed citations
9.
Stanislawski, Lawrence V., et al.. (2021). Watersheds and Drainage Networks. 2021(Q2). 2 indexed citations
10.
Usery, E. Lynn, et al.. (2021). GeoAI in the US Geological Survey for topographic mapping. Transactions in GIS. 26(1). 25–40. 9 indexed citations
11.
Li, Ting, et al.. (2020). OpenCLC: An open-source software tool for similarity assessment of linear hydrographic features. SoftwareX. 11. 100401–100401. 2 indexed citations
12.
Shavers, Ethan & Lawrence V. Stanislawski. (2020). Channel cross-section analysis for automated stream head identification. Environmental Modelling & Software. 132. 104809–104809. 8 indexed citations
13.
Stanislawski, Lawrence V., et al.. (2019). Automated Extraction of Drainage Channels and Roads through Deep Learning. Abstracts of the ICA. 1. 1–2. 3 indexed citations
14.
Shavers, Ethan & Lawrence V. Stanislawski. (2018). STREAMS DO WORK: MEASURING THE WORK OF LOW-ORDER STREAMS ON THE LANDSCAPE USING POINT CLOUDS. SHILAP Revista de lepidopterología. XLII-4. 573–578. 3 indexed citations
15.
Stanislawski, Lawrence V., et al.. (2018). AUTOMATED ROAD BREACHING TO ENHANCE EXTRACTION OF NATURAL DRAINAGE NETWORKS FROM ELEVATION MODELS THROUGH DEEP LEARNING. SHILAP Revista de lepidopterología. XLII-4. 597–601. 10 indexed citations
16.
Shavers, Ethan, Abduwasit Ghulam, & John Encarnación. (2017). Surface alteration of a melilitite-clan carbonatite and the potential for remote carbonatite detection. Ore Geology Reviews. 92. 19–28. 4 indexed citations
17.
Maimaitijiang, Maitiniyazi, Abduwasit Ghulam, Paheding Sidike, et al.. (2017). Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine. ISPRS Journal of Photogrammetry and Remote Sensing. 134. 43–58. 303 indexed citations breakdown →
18.
Shavers, Ethan, Abduwasit Ghulam, John Encarnación, & Sean Hartling. (2017). Emplacement of ultramafic-carbonatite intrusions along reactivated North American mid-continent rift structures. Tectonophysics. 712-713. 716–722. 1 indexed citations
19.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by B. Aragon Breakdown of academic impact, for papers by Matteo G. Ziliani Breakdown of academic impact, for papers by Xun Yu Breakdown of academic impact, for papers by Mingchao Shao Breakdown of academic impact, for papers by Joel Segarra Breakdown of academic impact, for papers by Seungtaek Jeong Breakdown of academic impact, for papers by V. C. Patil Breakdown of academic impact, for papers by Zurui Ao Breakdown of academic impact, for papers by Claudio Belli Breakdown of academic impact, for papers by Andres M. Ticlavilca
Rankless by CCL
2026