K. Staenz

3.2k total citations
91 papers, 1.5k citations indexed

About

K. Staenz is a scholar working on Media Technology, Artificial Intelligence and Ecology. According to data from OpenAlex, K. Staenz has authored 91 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Media Technology, 40 papers in Artificial Intelligence and 39 papers in Ecology. Recurrent topics in K. Staenz's work include Remote-Sensing Image Classification (42 papers), Geochemistry and Geologic Mapping (40 papers) and Remote Sensing in Agriculture (38 papers). K. Staenz is often cited by papers focused on Remote-Sensing Image Classification (42 papers), Geochemistry and Geologic Mapping (40 papers) and Remote Sensing in Agriculture (38 papers). K. Staenz collaborates with scholars based in Canada, Germany and United States. K. Staenz's co-authors include Heather McNairn, A. Bannari, Lixin Sun, H. Peter White, Khalid Omari, T Szeredi, Catherine Champagne, A. Pacheco, Abderrazak Bannari and D.J. Williams and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Geoderma.

In The Last Decade

K. Staenz

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Staenz Canada 20 789 592 405 393 293 91 1.5k
L. L. Biehl United States 22 881 1.1× 345 0.6× 688 1.7× 236 0.6× 425 1.5× 60 1.7k
Fuan Tsai Taiwan 16 502 0.6× 396 0.7× 245 0.6× 148 0.4× 259 0.9× 76 1.4k
W.H. Bakker Netherlands 16 428 0.5× 875 1.5× 397 1.0× 831 2.1× 197 0.7× 40 1.6k
Uta Heiden Germany 25 1.0k 1.3× 859 1.5× 878 2.2× 403 1.0× 659 2.2× 97 2.3k
J.J. Settle United Kingdom 13 877 1.1× 747 1.3× 503 1.2× 276 0.7× 599 2.0× 24 1.8k
Qingxi Tong China 20 980 1.2× 545 0.9× 577 1.4× 196 0.5× 945 3.2× 114 2.3k
Shengbo Chen China 23 603 0.8× 219 0.4× 408 1.0× 201 0.5× 464 1.6× 161 1.7k
Brandt Tso Taiwan 11 728 0.9× 770 1.3× 384 0.9× 241 0.6× 417 1.4× 14 1.6k
Mathias Kneubühler Switzerland 23 1.4k 1.8× 298 0.5× 722 1.8× 186 0.5× 658 2.2× 89 2.0k
Raffaele Gaetano France 21 788 1.0× 823 1.4× 395 1.0× 160 0.4× 308 1.1× 64 1.7k

Countries citing papers authored by K. Staenz

Since Specialization
Citations

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

Fields of papers citing papers by K. Staenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Staenz

This figure shows the co-authorship network connecting the top 25 collaborators of K. Staenz. A scholar is included among the top collaborators of K. Staenz 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 K. Staenz. K. Staenz 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.
Xu, Wei, et al.. (2017). Modeling and simulating industrial land-use evolution in Shanghai, China. Journal of Geographical Systems. 20(1). 57–83. 11 indexed citations
2.
Xu, Wei, et al.. (2017). Modelling and Simulating Urban Residential Land Development in Jiading New City, Shanghai. Applied Spatial Analysis and Policy. 11(4). 753–777. 5 indexed citations
3.
Foerster, Saskia, V. Carrère, M. Rast, & K. Staenz. (2016). Preface: The Environmental Mapping and Analysis Program (EnMAP) Mission: Preparing for Its Scientific Exploitation. Remote Sensing. 8(11). 957–957. 13 indexed citations
4.
Staenz, K., et al.. (2013). THE POTENTIAL OF THE PROPOSED CANADIAN HERO MISSION FOR GEOSCIENCE APPLICATIONS.
5.
Omari, Khalid, H. Peter White, K. Staenz, & Douglas J. King. (2013). Retrieval of Forest Canopy Parameters by Inversion of the PROFLAIR Leaf-Canopy Reflectance Model Using the LUT Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(2). 715–723. 25 indexed citations
6.
Chowdhury, Subir, Jinkai Zhang, K. Staenz, & Derek R. Peddle. (2012). Spectral mixture analysis of hyperspectral data using Genetic Algorithm and Spectral Angle Constraint (GA-SAC). 34. 1–4.
7.
Omari, Khalid, H. Peter White, & K. Staenz. (2009). Multiple Scattering Within the FLAIR Model Incorporating the Photon Recollision Probability Approach. IEEE Transactions on Geoscience and Remote Sensing. 47(8). 2931–2941. 9 indexed citations
8.
Shang, Jiali, et al.. (2008). Comparison of fully constrained and weakly constrained unmixing through mine-tailing composition mapping. Canadian Journal of Remote Sensing. 34(sup1). S92–S109. 13 indexed citations
9.
Lévesque, Josée & K. Staenz. (2008). Monitoring mine tailings revegetation using multitemporal hyperspectral image data. Canadian Journal of Remote Sensing. 34(sup1). S172–S186. 11 indexed citations
10.
Bannari, A., A. Pacheco, K. Staenz, Heather McNairn, & Khalid Omari. (2006). Estimating and mapping crop residues cover on agricultural lands using hyperspectral and IKONOS data. Remote Sensing of Environment. 104(4). 447–459. 135 indexed citations
11.
Brazile, Jason, et al.. (2006). Scene-Based Spectral Response Function Shape Discernibility for the APEX Imaging Spectrometer. IEEE Geoscience and Remote Sensing Letters. 3(3). 414–418. 11 indexed citations
12.
Boardman, Joseph W., L. L. Biehl, R. N. Clark, et al.. (2006). Development and Implementation of Software Systems for Imaging Spectroscopy. 12. 1969–1973. 3 indexed citations
13.
Champagne, Catherine, et al.. (2003). Validation of a hyperspectral curve-fitting model for the estimation of plant water content of agricultural canopies. Remote Sensing of Environment. 87(2-3). 148–160. 79 indexed citations
14.
Sun, Lixin, et al.. (2003). Detection of spectral line curvature in imaging spectrometer data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5093. 144–144. 36 indexed citations
15.
Kaufmann, Hannes, et al.. (2003). SAND - a hyperspectral sensor for the analysis of dryland degradation. 2. 986–988. 1 indexed citations
16.
Neville, R. A., et al.. (2003). Spectral unmixing of hyperspectral imagery for mineral exploration: comparison of results from SFSI and AVIRIS. Canadian Journal of Remote Sensing. 29(1). 99–110. 49 indexed citations
17.
Staenz, K., et al.. (2002). Radiative transfer codes applied to hyperspectral data for the retrieval of surface reflectance. ISPRS Journal of Photogrammetry and Remote Sensing. 57(3). 194–203. 37 indexed citations
18.
Staenz, K.. (1996). Classification of a Hyperspectral Agricultural Data Set Using Band Moments for Reduction of the Spectral Dimensionality. Canadian Journal of Remote Sensing. 22(3). 248–257. 9 indexed citations
19.
Teillet, Philippe & K. Staenz. (1992). Atmospheric Effects Due to Topography on Modis Vegetation Index Data Simulated from Aviris Imagery over Mountainous Terrain. Canadian Journal of Remote Sensing. 18(4). 283–291. 14 indexed citations
20.
Staenz, K., et al.. (1981). Evaluation of Thematic Mapper bands - A first step in feature selection. 625–634. 4 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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