Daniel S. Coutts

628 total citations · 1 hit paper
12 papers, 460 citations indexed

About

Daniel S. Coutts is a scholar working on Geophysics, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Daniel S. Coutts has authored 12 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geophysics, 6 papers in Atmospheric Science and 5 papers in Earth-Surface Processes. Recurrent topics in Daniel S. Coutts's work include Geological and Geochemical Analysis (6 papers), Geology and Paleoclimatology Research (6 papers) and Geological formations and processes (5 papers). Daniel S. Coutts is often cited by papers focused on Geological and Geochemical Analysis (6 papers), Geology and Paleoclimatology Research (6 papers) and Geological formations and processes (5 papers). Daniel S. Coutts collaborates with scholars based in Canada, United States and United Kingdom. Daniel S. Coutts's co-authors include Stephen M. Hubbard, W. A. Matthews, Bernard Guest, Jacob A. Covault, Cooper Stacey, Sophie Hage, Michael Clare, John E. Clark, Zane Jobe and Matthieu Cartigny and has published in prestigious journals such as Geological Society of America Bulletin, Tectonics and Sedimentology.

In The Last Decade

Daniel S. Coutts

11 papers receiving 453 citations

Hit Papers

Assessment of widely used methods to derive depositional ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel S. Coutts Canada 6 357 163 120 119 117 12 460
Matthew A. Malkowski United States 13 348 1.0× 101 0.6× 155 1.3× 184 1.5× 207 1.8× 33 525
Kathleen D. Surpless United States 12 579 1.6× 229 1.4× 107 0.9× 129 1.1× 177 1.5× 20 652
Francisco Pángaro Argentina 6 402 1.1× 118 0.7× 68 0.6× 123 1.0× 60 0.5× 8 466
Taejin Choi South Korea 11 311 0.9× 154 0.9× 131 1.1× 46 0.4× 44 0.4× 42 418
Alan T. Baxter Canada 13 634 1.8× 144 0.9× 94 0.8× 46 0.4× 94 0.8× 27 709
Meredith A. Bush United States 6 299 0.8× 58 0.4× 75 0.6× 89 0.7× 229 2.0× 6 435
M. Robinson Cecil United States 12 475 1.3× 203 1.2× 69 0.6× 54 0.5× 139 1.2× 30 534
Devon Orme United States 13 664 1.9× 138 0.8× 105 0.9× 76 0.6× 178 1.5× 25 763
Alan D. Chapman United States 17 801 2.2× 265 1.6× 88 0.7× 51 0.4× 142 1.2× 41 881
K.A. Dadd Australia 11 357 1.0× 115 0.7× 76 0.6× 92 0.8× 99 0.8× 25 469

Countries citing papers authored by Daniel S. Coutts

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Coutts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Coutts

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

All Works

12 of 12 papers shown
1.
Zhang, Steven E., et al.. (2025). Recursive Annotation for Negative Labeling in Data-Driven Mineral Prospectivity Mapping. Natural Resources Research. 34(5). 2373–2402.
2.
Coutts, Daniel S., et al.. (2024). Dissecting 20 million years of deep-water forearc sediment routing using an integrated basin-wide Bayesian chronostratigraphic framework. Geological Society of America Bulletin. 136(9-10). 3485–3509. 3 indexed citations
4.
Hubbard, Stephen M., Matthieu Cartigny, Michael Clare, et al.. (2020). Quantifying the three‐dimensional stratigraphic expression of cyclic steps by integrating seafloor and deep‐water outcrop observations. Sedimentology. 68(4). 1465–1501. 24 indexed citations
5.
Coutts, Daniel S., et al.. (2020). Along-strike variations in sediment provenance within the Nanaimo basin reveal mechanisms of forearc basin sediment influx events. Lithosphere. 12(1). 180–197. 24 indexed citations
6.
Coutts, Daniel S., W. A. Matthews, & Stephen M. Hubbard. (2019). Assessment of widely used methods to derive depositional ages from detrital zircon populations. Geoscience Frontiers. 10(4). 1421–1435. 296 indexed citations breakdown →
9.
Matthews, W. A., et al.. (2017). DETRITAL ZIRCONS FROM THE NANAIMO BASIN, VANCOUVER ISLAND, BRITISH COLUMBIA: AN INDEPENDENT TEST OF LATE CRETACEOUS TO CENOZOIC NORTHWARD TRANSLATION. Abstracts with programs - Geological Society of America. 1 indexed citations
11.
Guest, Bernard, et al.. (2016). Detrital zircon geochronology support for Baja-BC hypothesis or Why zircons in the Nanaimo Basin, British Columbia are not from the Rocky Mountains.. AGU Fall Meeting Abstracts. 2016. 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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