J. C. Rowland

4.0k total citations · 1 hit paper
77 papers, 2.5k citations indexed

About

J. C. Rowland is a scholar working on Atmospheric Science, Ecology and Earth-Surface Processes. According to data from OpenAlex, J. C. Rowland has authored 77 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Atmospheric Science, 21 papers in Ecology and 14 papers in Earth-Surface Processes. Recurrent topics in J. C. Rowland's work include Climate change and permafrost (40 papers), Cryospheric studies and observations (30 papers) and Arctic and Antarctic ice dynamics (17 papers). J. C. Rowland is often cited by papers focused on Climate change and permafrost (40 papers), Cryospheric studies and observations (30 papers) and Arctic and Antarctic ice dynamics (17 papers). J. C. Rowland collaborates with scholars based in United States, Netherlands and Canada. J. C. Rowland's co-authors include Cathy J. Wilson, W. E. Dietrich, Anastasia Piliouras, Douglas A. Edmonds, B. J. Travis, Michael Manga, Torbjörn E. Törnqvist, Albert J. Kettner, Andrew D. Ashton and A.J.F. Hoitink and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

J. C. Rowland

77 papers receiving 2.4k citations

Hit Papers

Global-scale human impact on delta morphology has led to ... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. C. Rowland United States 25 1.3k 916 773 333 255 77 2.5k
J. W. Lavelle United States 28 1.0k 0.8× 725 0.8× 570 0.7× 505 1.5× 346 1.4× 74 2.8k
Roman A. DiBiase United States 24 1.2k 0.9× 725 0.8× 761 1.0× 308 0.9× 510 2.0× 47 2.3k
Gary S. Weissmann United States 25 925 0.7× 694 0.8× 1.2k 1.6× 143 0.4× 383 1.5× 52 2.5k
Steven A. Hughes United States 21 545 0.4× 957 1.0× 1.2k 1.5× 221 0.7× 73 0.3× 82 2.6k
Peng Cheng China 27 2.2k 1.7× 762 0.8× 969 1.3× 487 1.5× 92 0.4× 156 3.0k
Olivier Magand France 29 1.6k 1.2× 630 0.7× 311 0.4× 493 1.5× 208 0.8× 74 2.8k
Jaco H. Baas United Kingdom 31 1.4k 1.1× 1.4k 1.5× 2.2k 2.8× 62 0.2× 378 1.5× 75 3.0k
John Trowbridge United States 35 1.4k 1.1× 1.4k 1.5× 1.9k 2.5× 457 1.4× 67 0.3× 69 3.8k
Malin E. Kylander Sweden 27 1.8k 1.4× 639 0.7× 611 0.8× 136 0.4× 197 0.8× 76 2.8k

Countries citing papers authored by J. C. Rowland

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Rowland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Rowland. 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 J. C. Rowland. The network helps show where J. C. Rowland may publish in the future.

Co-authorship network of co-authors of J. C. Rowland

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Rowland. A scholar is included among the top collaborators of J. C. Rowland 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 J. C. Rowland. J. C. Rowland 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.
Tejedor, Alejandro, Hongbo Ma, Jaap H. Nienhuis, et al.. (2023). River Delta Morphotypes Emerge From Multiscale Characterization of Shorelines. Geophysical Research Letters. 50(7). 3 indexed citations
2.
Cooper, Matthew G., Tian Zhou, Katrina E. Bennett, et al.. (2023). Detecting Permafrost Active Layer Thickness Change From Nonlinear Baseflow Recession. Water Resources Research. 59(1). 10 indexed citations
4.
Uhlemann, Sebastian, Ian Shirley, Stijn Wielandt, et al.. (2023). Estimating Permafrost Distribution Using Co‐Located Temperature and Electrical Resistivity Measurements. Geophysical Research Letters. 50(17). 8 indexed citations
5.
Thaler, Evan, J. C. Rowland, Jon Schwenk, et al.. (2023). High‐Resolution Maps of Near‐Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning. Earth and Space Science. 10(12). 9 indexed citations
6.
Zhang, Yu, Elchin Jafarov, Anastasia Piliouras, et al.. (2023). The thermal response of permafrost to coastal floodplain flooding. Environmental Research Letters. 18(3). 35004–35004. 10 indexed citations
7.
Rowland, J. C.. (2023). Drainage network response to Arctic warming. Nature Communications. 14(1). 5296–5296. 3 indexed citations
8.
Dann, Julian, Christian Andresen, Adam Collins, et al.. (2022). Patterns and rates of soil movement and shallow failures across several small watersheds on the Seward Peninsula, Alaska. 4 indexed citations
9.
Zhang, Yu, J. C. Rowland, D. Moulton, et al.. (2022). Impact of Coastal Marsh Eco‐Geomorphologic Change on Saltwater Intrusion Under Future Sea Level Rise. Water Resources Research. 58(5). 10 indexed citations
10.
Tejedor, Alejandro, et al.. (2021). Climate Signatures on Lake And Wetland Size Distributions in Arctic Deltas. Geophysical Research Letters. 48(20). e2021GL094437–e2021GL094437. 6 indexed citations
11.
Zhang, Yu, J. C. Rowland, D. Moulton, et al.. (2021). Impact of coastal marsh eco-geomorphologic change on the prediction of saltwater intrusion under future sea level rise. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
12.
13.
Tejedor, Alejandro, et al.. (2020). Channel Network Control on Seasonal Lake Area Dynamics in Arctic Deltas. Geophysical Research Letters. 47(7). e2019GL086710–e2019GL086710. 7 indexed citations
14.
Zhang, Yu, J. C. Rowland, Chonggang Xu, et al.. (2020). Understanding the Eco‐Geomorphologic Feedback of Coastal Marsh Under Sea Level Rise: Vegetation Dynamic Representations, Processes Interaction, and Parametric Sensitivity. Journal of Geophysical Research Earth Surface. 125(11). 11 indexed citations
15.
Rowland, J. C., et al.. (2020). Estimating Sediment Settling Velocities from a Theoretically Guided Data-Driven Approach. Journal of Hydraulic Engineering. 146(10). 6 indexed citations
16.
Schwenk, Jon, Anastasia Piliouras, & J. C. Rowland. (2020). Determining flow directions in river channel networks using planform morphology and topology. Earth Surface Dynamics. 8(1). 87–102. 18 indexed citations
17.
Rowland, J. C., et al.. (2018). Pan-arctic flux of soil organic carbon to rivers by river bank erosion. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
18.
Harp, D. R., A. L. Atchley, Scott Painter, et al.. (2015). Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 indexed citations
19.
Rowland, J. C., Chandana Gangodagamage, J. Prancevic, et al.. (2011). Scaling Laws in Arctic Permafrost River Basins: Statistical Signature in Transition. AGUFM. 2011. 1 indexed citations
20.
Rowland, J. C., et al.. (2009). Arctic River Mobility: A Baseline Assessment. AGU Fall Meeting Abstracts. 2009. 2 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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