Daniel Buscombe

2.8k total citations
82 papers, 1.7k citations indexed

About

Daniel Buscombe is a scholar working on Ecology, Earth-Surface Processes and Soil Science. According to data from OpenAlex, Daniel Buscombe has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Ecology, 42 papers in Earth-Surface Processes and 22 papers in Soil Science. Recurrent topics in Daniel Buscombe's work include Hydrology and Sediment Transport Processes (34 papers), Coastal and Marine Dynamics (27 papers) and Soil erosion and sediment transport (22 papers). Daniel Buscombe is often cited by papers focused on Hydrology and Sediment Transport Processes (34 papers), Coastal and Marine Dynamics (27 papers) and Soil erosion and sediment transport (22 papers). Daniel Buscombe collaborates with scholars based in United States, United Kingdom and Australia. Daniel Buscombe's co-authors include Gerd Masselink, Jonathan A. Warrick, Paul E. Grams, David M. Rubin, Andrew C. Ritchie, Matt Kaplinski, Martin Austin, Kilian Vos, Sean Vitousek and Phillipe A. Wernette and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Daniel Buscombe

78 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
Daniel Buscombe United States 23 956 832 431 318 282 82 1.7k
Stuart McLelland United Kingdom 22 1.4k 1.5× 668 0.8× 616 1.4× 150 0.5× 151 0.5× 59 1.9k
Jasim Imran United States 30 1.1k 1.2× 1.8k 2.2× 224 0.5× 153 0.5× 99 0.4× 76 2.7k
Colin D. Rennie Canada 29 2.1k 2.2× 568 0.7× 979 2.3× 239 0.8× 180 0.6× 159 2.7k
C. Wayne Wright United States 24 898 0.9× 559 0.7× 180 0.4× 945 3.0× 586 2.1× 88 2.1k
Zheng Gong China 24 1.1k 1.1× 673 0.8× 139 0.3× 437 1.4× 75 0.3× 111 1.6k
Bernard O. Bauer Canada 31 1.2k 1.2× 2.5k 3.0× 1.1k 2.7× 156 0.5× 304 1.1× 74 2.9k
Vincent Marieu France 33 1.4k 1.4× 2.0k 2.4× 112 0.3× 738 2.3× 324 1.1× 99 2.9k
Kevin A. Oberg United States 19 1.0k 1.1× 281 0.3× 231 0.5× 282 0.9× 164 0.6× 45 1.5k
A. S. Rajawat India 22 469 0.5× 586 0.7× 61 0.1× 338 1.1× 147 0.5× 107 1.7k
Ehab Meselhe United States 29 1.4k 1.4× 833 1.0× 249 0.6× 207 0.7× 175 0.6× 104 2.1k

Countries citing papers authored by Daniel Buscombe

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Buscombe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Buscombe

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Buscombe. A scholar is included among the top collaborators of Daniel Buscombe 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 Daniel Buscombe. Daniel Buscombe 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.
Warrick, Jonathan A., Daniel Buscombe, Kilian Vos, et al.. (2025). Shoreline Seasonality of California's Beaches. Journal of Geophysical Research Earth Surface. 130(2). 8 indexed citations
2.
Buckley, Mark L., Daniel Buscombe, Margaret L. Palmsten, et al.. (2024). Wave runup and total water level observations from time series imagery at several sites with varying nearshore morphologies. Coastal Engineering. 193. 104600–104600. 3 indexed citations
3.
Buscombe, Daniel, Jonathan A. Warrick, Andrew C. Ritchie, et al.. (2024). Remote Sensing Large‐Wood Storage Downstream of Reservoirs During and After Dam Removal: Elwha River, Washington, USA. Earth and Space Science. 11(8). 3 indexed citations
4.
Vos, Kilian, Kristen D. Splinter, Jesús Palomar‐Vázquez, et al.. (2023). Benchmarking satellite-derived shoreline mapping algorithms. Communications Earth & Environment. 4(1). 60 indexed citations
5.
Warrick, Jonathan A., et al.. (2023). A Large Sediment Accretion Wave Along a Northern California Littoral Cell. Journal of Geophysical Research Earth Surface. 128(7). 16 indexed citations
6.
Sherwood, Christopher R., Andrew C. Ritchie, Christine J. Kranenburg, et al.. (2023). Sound‐Side Inundation and Seaward Erosion of a Barrier Island During Hurricane Landfall. Journal of Geophysical Research Earth Surface. 128(1). 14 indexed citations
7.
McFall, Brian, et al.. (2023). SANDSNAP: CREATING A NATIONWIDE BEACH GRAIN SIZE DATABASE BY ENGAGING CITIZEN SCIENTISTS. 906–918. 2 indexed citations
8.
McFall, Brian, et al.. (2023). SANDSNAP – AMASSING A BEACH GRAIN SIZE DATABASE IN THE UNITED STATES. Coastal Engineering Proceedings. 11–11.
9.
10.
Dean, David J., et al.. (2022). The use of continuous sediment‐transport measurements to improve sand‐load estimates in a large sand‐bedded river: The lower Chippewa River, Wisconsin. Earth Surface Processes and Landforms. 47(8). 2006–2023. 2 indexed citations
11.
Buscombe, Daniel, et al.. (2022). PING‐Mapper: Open‐Source Software for Automated Benthic Imaging and Mapping Using Recreation‐Grade Sonar. Earth and Space Science. 9(9). 5 indexed citations
12.
McElroy, Brandon, et al.. (2020). Estimating Bedload From Suspended Load and Water Discharge in Sand Bed Rivers. Water Resources Research. 56(2). 19 indexed citations
13.
Hsu, Leslie, Caitlin M. Andrews, John B. Bradford, et al.. (2020). Community for data integration 2018 funded project report. Antarctica A Keystone in a Changing World.
14.
Buscombe, Daniel, et al.. (2020). Estimating sand bed load in rivers by tracking dunes: a comparison of methods based on bed elevation time series. Earth Surface Dynamics. 8(1). 161–172. 22 indexed citations
15.
Buscombe, Daniel, et al.. (2019). A Data-Driven Approach to Classifying Wave Breaking in Infrared Imagery. Remote Sensing. 11(7). 859–859. 21 indexed citations
16.
Smith, M. Elliot, et al.. (2018). Seeking the Shore: Evidence for Active Submarine Canyon Head Incision Due to Coarse Sediment Supply and Focusing of Wave Energy. Geophysical Research Letters. 45(22). 27 indexed citations
17.
Buscombe, Daniel, et al.. (2018). Estimating Riverbed Sand Thickness Using CHIRP Sonar: Case Study from the Colorado River in Grand Canyon. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
18.
Conley, Daniel, Martin Austin, I. Davidson, Daniel Buscombe, & Gerd Masselink. (2017). Grain size selection in seagrass beds. Bangor University Research Portal (Bangor University). 2 indexed citations
19.
Buscombe, Daniel, et al.. (2015). From Hype to an Operational Tool: Efforts to Establish a Long-Term Monitoring Protocol of Alluvial Sandbars using `Structure-from-Motion' Photogrammetry. AGU Fall Meeting Abstracts. 2015. 2 indexed citations
20.
Williams, Jon J., Gerd Masselink, Daniel Buscombe, et al.. (2009). BARDEX (Barrier Dynamics Experiment): Taking the Beach into the Laboratory. ORCA Online Research @Cardiff. 11 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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