Tracy Rowlandson

3.3k total citations
36 papers, 936 citations indexed

About

Tracy Rowlandson is a scholar working on Environmental Engineering, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Tracy Rowlandson has authored 36 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Environmental Engineering, 26 papers in Atmospheric Science and 7 papers in Aerospace Engineering. Recurrent topics in Tracy Rowlandson's work include Soil Moisture and Remote Sensing (33 papers), Climate change and permafrost (17 papers) and Precipitation Measurement and Analysis (13 papers). Tracy Rowlandson is often cited by papers focused on Soil Moisture and Remote Sensing (33 papers), Climate change and permafrost (17 papers) and Precipitation Measurement and Analysis (13 papers). Tracy Rowlandson collaborates with scholars based in Canada, United States and Finland. Tracy Rowlandson's co-authors include Aaron Berg, Heather McNairn, Brian K. Hornbuckle, Paul Bullock, Michael H. Cosh, Grant Wiseman, Andreas Colliander, Justin R. Adams, Mark L. Gleason and Ramata Magagi and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Tracy Rowlandson

36 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy Rowlandson Canada 15 720 602 165 128 100 36 936
Jarrett Powers Canada 13 490 0.7× 308 0.5× 142 0.9× 100 0.8× 59 0.6× 24 681
Anna Balenzano Italy 15 833 1.2× 548 0.9× 455 2.8× 71 0.6× 79 0.8× 49 1.0k
Anna Pacheco Canada 10 481 0.7× 255 0.4× 180 1.1× 63 0.5× 59 0.6× 16 612
Felix Greifeneder Italy 13 583 0.8× 283 0.5× 106 0.6× 97 0.8× 124 1.2× 28 827
Hassan Bazzi France 13 644 0.9× 432 0.7× 213 1.3× 133 1.0× 73 0.7× 39 961
Grant Wiseman Canada 6 427 0.6× 235 0.4× 191 1.2× 51 0.4× 90 0.9× 15 576
Alejandro Monsiváis-Huertero Mexico 12 424 0.6× 274 0.5× 177 1.1× 77 0.6× 43 0.4× 48 615
Safa Bousbih France 7 531 0.7× 294 0.5× 191 1.2× 36 0.3× 56 0.6× 12 629
Giacomo Fontanelli Italy 17 697 1.0× 395 0.7× 371 2.2× 100 0.8× 37 0.4× 56 1.1k
Shaojie Zhao China 14 570 0.8× 590 1.0× 48 0.3× 21 0.2× 80 0.8× 59 842

Countries citing papers authored by Tracy Rowlandson

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Rowlandson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tracy Rowlandson

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy Rowlandson. A scholar is included among the top collaborators of Tracy Rowlandson 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 Tracy Rowlandson. Tracy Rowlandson 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.
Lindsay, John B., et al.. (2021). Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters. Remote Sensing. 13(11). 2210–2210. 6 indexed citations
2.
3.
Toth, Brenda, et al.. (2019). An 11-year (2007–2017) soil moisture and precipitation dataset from the Kenaston Network in the Brightwater Creek basin, Saskatchewan, Canada. Earth system science data. 11(2). 787–796. 29 indexed citations
4.
Lindsay, John B., et al.. (2018). Comparing the Use of Terrestrial LiDAR Scanners and Pin Profilers for Deriving Agricultural Roughness Statistics. Canadian Journal of Remote Sensing. 44(2). 153–168. 7 indexed citations
5.
Rowlandson, Tracy, Aaron Berg, Edward Kim, et al.. (2018). Capturing agricultural soil freeze/thaw state through remote sensing and ground observations: A soil freeze/thaw validation campaign. Remote Sensing of Environment. 211. 59–70. 43 indexed citations
6.
Lyu, Haobo, Kaighin A. McColl, Xinlu Li, et al.. (2017). Validation of the SMAP freeze/thaw product using categorical triple collocation. Remote Sensing of Environment. 205. 329–337. 34 indexed citations
7.
Roy, Alexandre, Peter Toose, Matthew A. Williamson, et al.. (2017). Response of L-Band brightness temperatures to freeze/thaw and snow dynamics in a prairie environment from ground-based radiometer measurements. Remote Sensing of Environment. 191. 67–80. 56 indexed citations
8.
Roy, Alexandre, Peter Toose, Chris Derksen, et al.. (2016). Analysis of L-Band brightness temperatures response to freeze/thaw in two prairie environments from surface-based radiometer measurements. 1667–1670. 1 indexed citations
9.
Yueh, Simon, E. G. Njoku, Rajat Bindlish, et al.. (2015). Soil Moisture Active Passive (SMAP) Project Calibration and Validation for the L2/3_SM_P Beta-Release Data Products Version 2. 9 indexed citations
10.
Rowlandson, Tracy & Aaron Berg. (2015). Errors associated with estimating vegetation water content from radar for use in passive microwave brightness temperature algorithms. International Journal of Remote Sensing. 36(3). 782–796. 8 indexed citations
11.
Rowlandson, Tracy, Mark L. Gleason, Paulo César Sentelhas, et al.. (2014). Reconsidering Leaf Wetness Duration Determination for Plant Disease Management. Plant Disease. 99(3). 310–319. 122 indexed citations
12.
Champagne, Catherine, Tracy Rowlandson, Aaron Berg, et al.. (2014). Evaluation of L-Band passive microwave soil moisture for Canada. 3650–3653. 1 indexed citations
13.
Rowlandson, Tracy & Aaron Berg. (2013). Use of Radar Vegetation Index (RVI) in Passive Microwave Algorithms for Soil Moisture Estimates. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
14.
Rowlandson, Tracy, Aaron Berg, Paul Bullock, et al.. (2013). Evaluation of several calibration procedures for a portable soil moisture sensor. Journal of Hydrology. 498. 335–344. 88 indexed citations
15.
Hornbuckle, Brian K., et al.. (2011). How is the angular signature of SMOS brightness temperature different in the morning and evening?. 3125–3128. 2 indexed citations
16.
Hornbuckle, Brian K., Tracy Rowlandson, Eric S. Russell, et al.. (2010). Howdoes dew affect L-band backscatter? analysis of pals data at the Iowa validation site and implications for smap. 4835–4838. 5 indexed citations
17.
Hornbuckle, Brian K., Tracy Rowlandson, Eric S. Russell, Anton Kruger, & Thomas J. Sauer. (2010). Water residing on plants alters the L-band brightness of senescing corn. 76–80. 3 indexed citations
18.
Hornbuckle, Brian K., Anton Kruger, Tracy Rowlandson, et al.. (2009). Uncertainty in SMAP Soil Moisture Measurements Caused by Dew. AGUFM. 2009. 1 indexed citations
19.
Rowlandson, Tracy, et al.. (2009). Application of Canadian weather radar data to plant disease management schemes in southern Ontario. ATMOSPHERE-OCEAN. 47(2). 154–159. 1 indexed citations
20.
Rowlandson, Tracy. (2004). Use of Precipitation Duration Data from Weather Radar in Leaf Wetness Estimates for Plant Disease Management. 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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