Kurt C. Kornelsen

891 total citations
19 papers, 668 citations indexed

About

Kurt C. Kornelsen is a scholar working on Environmental Engineering, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Kurt C. Kornelsen has authored 19 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 11 papers in Atmospheric Science and 8 papers in Water Science and Technology. Recurrent topics in Kurt C. Kornelsen's work include Soil Moisture and Remote Sensing (13 papers), Hydrology and Watershed Management Studies (8 papers) and Soil and Unsaturated Flow (6 papers). Kurt C. Kornelsen is often cited by papers focused on Soil Moisture and Remote Sensing (13 papers), Hydrology and Watershed Management Studies (8 papers) and Soil and Unsaturated Flow (6 papers). Kurt C. Kornelsen collaborates with scholars based in Canada, United States and Germany. Kurt C. Kornelsen's co-authors include Paulin Coulibaly, Jos Samuel, Xiaojun Pan, Michael H. Cosh, Juliane Mai, Bruce Davison, Nicolas Gasset, Bryan A. Tolson, David Schäfer and Michael G. Leahy and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kurt C. Kornelsen

19 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kurt C. Kornelsen Canada 13 486 302 181 148 136 19 668
Fangni Lei United States 17 591 1.2× 477 1.6× 159 0.9× 116 0.8× 265 1.9× 32 827
Marcela Doubková Austria 11 595 1.2× 495 1.6× 82 0.5× 78 0.5× 103 0.8× 25 708
Caijin Zhang China 8 471 1.0× 382 1.3× 139 0.8× 66 0.4× 219 1.6× 8 718
Hyunglok Kim United States 17 766 1.6× 728 2.4× 204 1.1× 173 1.2× 354 2.6× 48 1.1k
Simone Bircher France 17 1.0k 2.1× 798 2.6× 190 1.0× 236 1.6× 201 1.5× 22 1.1k
Fan Chen United States 14 848 1.7× 769 2.5× 343 1.9× 185 1.3× 256 1.9× 24 1.1k
Daniel Sabel Austria 14 710 1.5× 643 2.1× 107 0.6× 82 0.6× 209 1.5× 28 953
Liangliang Bai China 9 493 1.0× 405 1.3× 113 0.6× 67 0.5× 213 1.6× 11 709
A. Weuthen Germany 9 679 1.4× 293 1.0× 258 1.4× 360 2.4× 185 1.4× 13 1.0k
Linna Chai China 16 672 1.4× 613 2.0× 57 0.3× 73 0.5× 183 1.3× 61 907

Countries citing papers authored by Kurt C. Kornelsen

Since Specialization
Citations

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

Fields of papers citing papers by Kurt C. Kornelsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kurt C. Kornelsen

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

All Works

19 of 19 papers shown
1.
Boucher, Marie‐Amélie, et al.. (2023). Comparing three machine learning algorithms with existing methods for natural streamflow estimation. Hydrological Sciences Journal. 69(1). 79–94. 5 indexed citations
2.
Mai, Juliane, Kurt C. Kornelsen, Bryan A. Tolson, et al.. (2020). Convenient Access to Archived Predictions: Canada’s CaSPAr Platform. Bulletin of the American Meteorological Society. 101(3). 233–236. 1 indexed citations
3.
Mai, Juliane, Kurt C. Kornelsen, Bryan A. Tolson, et al.. (2019). The Canadian Surface Prediction Archive (CaSPAr): A Platform to Enhance Environmental Modeling in Canada and Globally. Bulletin of the American Meteorological Society. 101(3). E341–E356. 28 indexed citations
4.
Kornelsen, Kurt C., et al.. (2018). Assimilation of near-real time data products into models of an urban basin. Journal of Hydrology. 563. 51–64. 31 indexed citations
5.
Kornelsen, Kurt C., et al.. (2017). Entropy Applications to Water Monitoring Network Design: A Review. Entropy. 19(11). 613–613. 53 indexed citations
6.
Pan, Xiaojun, Kurt C. Kornelsen, & Paulin Coulibaly. (2017). Estimating Root Zone Soil Moisture at Continental Scale Using Neural Networks. JAWRA Journal of the American Water Resources Association. 53(1). 220–237. 20 indexed citations
7.
Kornelsen, Kurt C., Michael H. Cosh, & Paulin Coulibaly. (2015). Potential of bias correction for downscaling passive microwave and soil moisture data. Journal of Geophysical Research Atmospheres. 120(13). 6460–6479. 12 indexed citations
8.
Kornelsen, Kurt C. & Paulin Coulibaly. (2015). Reducing multiplicative bias of satellite soil moisture retrievals. Remote Sensing of Environment. 165. 109–122. 16 indexed citations
9.
Kornelsen, Kurt C., et al.. (2015). Hydrometric network design using streamflow signatures and indicators of hydrologic alteration. Journal of Hydrology. 529. 1350–1359. 33 indexed citations
10.
Kornelsen, Kurt C., Bruce Davison, & Paulin Coulibaly. (2015). Application of SMOS Soil Moisture and Brightness Temperature at High Resolution With a Bias Correction Operator. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(4). 1590–1605. 8 indexed citations
11.
Kornelsen, Kurt C. & Paulin Coulibaly. (2015). Design of an Optimal Soil Moisture Monitoring Network Using SMOS Retrieved Soil Moisture. IEEE Transactions on Geoscience and Remote Sensing. 53(7). 3950–3959. 17 indexed citations
12.
Kornelsen, Kurt C.. (2015). Downscaling Satellite Microwave Observations to Facilitate High Resolution Hydrological Modelling. MacSphere (McMaster University). 1 indexed citations
13.
Kornelsen, Kurt C. & Paulin Coulibaly. (2014). Synthesis review on groundwater discharge to surface water in the Great Lakes Basin. Journal of Great Lakes Research. 40(2). 247–256. 41 indexed citations
14.
Kornelsen, Kurt C. & Paulin Coulibaly. (2014). Data-based disaggregation of SMOS soil moisture. 2 indexed citations
15.
Kornelsen, Kurt C. & Paulin Coulibaly. (2014). Root‐zone soil moisture estimation using data‐driven methods. Water Resources Research. 50(4). 2946–2962. 83 indexed citations
16.
Kornelsen, Kurt C. & Paulin Coulibaly. (2014). Design of an optimum soil moisture monitoring network using SMOS. 3206–3209. 3 indexed citations
17.
Kornelsen, Kurt C. & Paulin Coulibaly. (2013). McMaster Mesonet soil moisture dataset: description and spatio-temporal variability analysis. Hydrology and earth system sciences. 17(4). 1589–1606. 18 indexed citations
18.
Kornelsen, Kurt C. & Paulin Coulibaly. (2012). Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications. Journal of Hydrology. 476. 460–489. 255 indexed citations
19.
Kornelsen, Kurt C. & Paulin Coulibaly. (2012). Comparison of Interpolation, Statistical, and Data-Driven Methods for Imputation of Missing Values in a Distributed Soil Moisture Dataset. Journal of Hydrologic Engineering. 19(1). 26–43. 41 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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