David Sauchyn

3.5k total citations
93 papers, 2.3k citations indexed

About

David Sauchyn is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, David Sauchyn has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Atmospheric Science, 58 papers in Global and Planetary Change and 28 papers in Water Science and Technology. Recurrent topics in David Sauchyn's work include Tree-ring climate responses (37 papers), Plant Water Relations and Carbon Dynamics (31 papers) and Climate variability and models (30 papers). David Sauchyn is often cited by papers focused on Tree-ring climate responses (37 papers), Plant Water Relations and Carbon Dynamics (31 papers) and Climate variability and models (30 papers). David Sauchyn collaborates with scholars based in Canada, United States and Chile. David Sauchyn's co-authors include Jeannine‐Marie St. Jacques, Elaine Barrow, Yang Zhao, Jonathan Barichivich, Barrie Bonsal, Elaine Wheaton, Suzan Lapp, Alwynne B. Beaudoin, Jodi Axelson and Antonio Lara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David Sauchyn

90 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Sauchyn Canada 29 1.3k 1.3k 644 314 182 93 2.3k
Yongping Shen China 22 2.0k 1.5× 1.2k 0.9× 582 0.9× 348 1.1× 124 0.7× 71 2.9k
Jan Rajczak Switzerland 14 1.3k 0.9× 1.4k 1.1× 310 0.5× 224 0.7× 181 1.0× 18 2.1k
Wolfgang Schöner Austria 26 2.1k 1.5× 1.4k 1.1× 687 1.1× 260 0.8× 176 1.0× 101 3.0k
Wagner R. Soares Brazil 9 770 0.6× 1.6k 1.3× 456 0.7× 492 1.6× 235 1.3× 14 2.2k
Simon C. Scherrer Switzerland 28 1.4k 1.1× 1.5k 1.2× 589 0.9× 200 0.6× 80 0.4× 52 2.2k
Monica Ioniță Germany 30 1.5k 1.1× 2.0k 1.6× 407 0.6× 279 0.9× 167 0.9× 120 2.8k
Roberto Rondanelli Chile 20 1.1k 0.8× 1.1k 0.9× 290 0.5× 234 0.7× 114 0.6× 51 2.1k
Thomas Condom France 29 1.7k 1.3× 980 0.8× 548 0.9× 349 1.1× 79 0.4× 81 2.4k
José Marengo Brazil 18 1.2k 0.9× 2.2k 1.8× 504 0.8× 498 1.6× 192 1.1× 35 2.8k
Brent M. Lofgren United States 24 714 0.5× 1.1k 0.9× 530 0.8× 486 1.5× 274 1.5× 53 1.8k

Countries citing papers authored by David Sauchyn

Since Specialization
Citations

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

Fields of papers citing papers by David Sauchyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Sauchyn

This figure shows the co-authorship network connecting the top 25 collaborators of David Sauchyn. A scholar is included among the top collaborators of David Sauchyn 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 David Sauchyn. David Sauchyn 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.
Sauchyn, David, et al.. (2025). The exposure of prairie soils to millennia of climate variability and change. Canadian Journal of Soil Science. 105. 1–10.
2.
Allen, Kathryn, Chris Gouramanis, & David Sauchyn. (2025). Paleo-data is policy relevant: How do we better incorporate it in policy and decision making?. Global and Planetary Change. 246. 104707–104707. 2 indexed citations
3.
Sauchyn, David, et al.. (2023). Using thermal imagery and changes in stem radius to assess water stress in two coniferous tree species. Agricultural and Forest Meteorology. 341. 109686–109686. 1 indexed citations
4.
Zare, Mohammad, Shahid Azam, & David Sauchyn. (2023). Simulation of Climate Change Impacts on Crop Yield in the Saskatchewan Grain Belt Using an Improved SWAT Model. Agriculture. 13(11). 2102–2102. 9 indexed citations
5.
6.
Arbuthnott, Katherine D., et al.. (2023). Climate Change Perceptions and Associated Characteristics in Canadian Prairie Agricultural Producers. SHILAP Revista de lepidopterología. 14(4). 54–54. 1 indexed citations
7.
8.
Sauchyn, David, et al.. (2022). Ensemble Climate and Streamflow Projections for the Assiniboine River Basin, Canada. Sustainability. 14(11). 6487–6487. 2 indexed citations
9.
10.
Hodder, Kyle R., et al.. (2021). Assessment of the ability of the standardized precipitation evapotranspiration index (SPEI) to model historical streamflow in watersheds of Western Canada. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 46(1-2). 52–72. 4 indexed citations
11.
Sauchyn, David, et al.. (2019). Variation in tree growth sensitivity to moisture across a water-limited forest landscape. Dendrochronologia. 54. 87–96. 10 indexed citations
12.
Fernández, Alfonso, Ariel A. Muñoz, Álvaro González‐Reyes, et al.. (2018). Dendrohydrology and water resources management in south-central Chile: lessons from the Río Imperial streamflow reconstruction. Hydrology and earth system sciences. 22(5). 2921–2935. 25 indexed citations
13.
McMartin, Dena W., Barrie Bonsal, Margot Hurlbert, et al.. (2018). Limitations of Water Resources Infrastructure for Reducing Community Vulnerabilities to Extremes and Uncertainty of Flood and Drought. Environmental Management. 62(6). 1038–1047. 15 indexed citations
14.
Jacques, Jeannine‐Marie St., Brian F. Cumming, David Sauchyn, & John P. Smol. (2015). The Bias and Signal Attenuation Present in Conventional Pollen-Based Climate Reconstructions as Assessed by Early Climate Data from Minnesota, USA. PLoS ONE. 10(1). e0113806–e0113806. 18 indexed citations
15.
Lapp, Suzan, Jeannine‐Marie St. Jacques, Elaine Barrow, & David Sauchyn. (2011). GCM projections for the Pacific Decadal Oscillation under greenhouse forcing for the early 21st century. International Journal of Climatology. 32(9). 1423–1442. 50 indexed citations
16.
Jacques, Jeannine‐Marie St., David Sauchyn, & Yang Zhao. (2010). Northern Rocky Mountain streamflow records: Global warming trends, human impacts or natural variability?. Geophysical Research Letters. 37(6). 111 indexed citations
17.
Sauchyn, David, et al.. (2005). Isi Askiwan–The State of the Land: Summary of the Prince Albert Grand Council Elders’ Forum on Climate Change. International Journal of Indigenous Health. 2(1). 62–72. 10 indexed citations
18.
Sauchyn, David, et al.. (2003). A paleoclimatic context for the drought of 1999–2001 in the northern Great Plains of North America. Geographical Journal. 169(2). 158–167. 63 indexed citations
19.
Sauchyn, David. (1986). PARTICLE SIZE AND SHAPE VARIATION ON ALPINE DEBRIS FANS, CANADIAN ROCKY MOUNTAINS. Physical Geography. 7(3). 191–217. 3 indexed citations
20.
Sauchyn, David, et al.. (1978). LANDSAT APPLIED TO LANDSLIDE MAPPING. Photogrammetric Engineering & Remote Sensing. 44(6). 29 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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