M. Kneubuehler

433 total citations
25 papers, 303 citations indexed

About

M. Kneubuehler is a scholar working on Ecology, Media Technology and Environmental Engineering. According to data from OpenAlex, M. Kneubuehler has authored 25 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 8 papers in Media Technology and 7 papers in Environmental Engineering. Recurrent topics in M. Kneubuehler's work include Remote Sensing in Agriculture (14 papers), Remote-Sensing Image Classification (7 papers) and Remote Sensing and LiDAR Applications (6 papers). M. Kneubuehler is often cited by papers focused on Remote Sensing in Agriculture (14 papers), Remote-Sensing Image Classification (7 papers) and Remote Sensing and LiDAR Applications (6 papers). M. Kneubuehler collaborates with scholars based in Switzerland, Netherlands and Iran. M. Kneubuehler's co-authors include Michael E. Schaepman, Hormoz Sohrabi, Daniel Schläpfer, Andreas Hueni, K.I. Itten, Alexander Damm, Daniel Odermatt, Stefan Adriaensen, Jens Nieke and R. Zurita‐Milla and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and Computers & Geosciences.

In The Last Decade

M. Kneubuehler

24 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Kneubuehler Switzerland 8 193 131 86 66 57 25 303
Koen Meuleman Belgium 12 203 1.1× 94 0.7× 138 1.6× 102 1.5× 67 1.2× 26 394
Stefan Sandmeier Switzerland 4 257 1.3× 167 1.3× 129 1.5× 84 1.3× 41 0.7× 4 373
Evanthia Karpouzli United Kingdom 5 209 1.1× 75 0.6× 87 1.0× 70 1.1× 32 0.6× 10 291
Sam Gillingham New Zealand 7 259 1.3× 162 1.2× 141 1.6× 52 0.8× 25 0.4× 12 351
P. Defourny Belgium 5 223 1.2× 150 1.1× 131 1.5× 106 1.6× 55 1.0× 7 380
Rocchina Guarini Italy 9 186 1.0× 91 0.7× 151 1.8× 149 2.3× 38 0.7× 17 440
Emilien Alvarez-Vanhard France 5 163 0.8× 133 1.0× 85 1.0× 61 0.9× 33 0.6× 8 287
F. Zagolski France 9 293 1.5× 200 1.5× 219 2.5× 56 0.8× 23 0.4× 36 419
N. M. Milton United States 8 190 1.0× 112 0.9× 76 0.9× 56 0.8× 23 0.4× 16 348
Bruno Roux France 7 322 1.7× 239 1.8× 92 1.1× 28 0.4× 58 1.0× 10 526

Countries citing papers authored by M. Kneubuehler

Since Specialization
Citations

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

Fields of papers citing papers by M. Kneubuehler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kneubuehler

This figure shows the co-authorship network connecting the top 25 collaborators of M. Kneubuehler. A scholar is included among the top collaborators of M. Kneubuehler 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 M. Kneubuehler. M. Kneubuehler 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.
Sohrabi, Hormoz, et al.. (2024). Coupling UAV and satellite data for tree species identification to map the distribution of Caspian poplar. Landscape Ecology. 39(2). 3 indexed citations
2.
Sohrabi, Hormoz, et al.. (2021). Detection of mistletoe infected trees using UAV high spatial resolution images. Journal of Plant Diseases and Protection. 128(6). 1679–1689. 11 indexed citations
3.
Sohrabi, Hormoz, et al.. (2020). Comparison of machine learning algorithms for broad leaf species classification using UAV-RGB images. Zurich Open Repository and Archive (University of Zurich). 10(2). 1–10. 1 indexed citations
4.
Sohrabi, Hormoz, et al.. (2020). Individual tree crown delineation from high-resolution UAV images in broadleaf forest. Ecological Informatics. 61. 101207–101207. 76 indexed citations
5.
Kedem, Benjamin, et al.. (2016). Determination of target detection limits in hyperspectral data using band selection and dimensionality reduction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9997. 99970H–99970H. 5 indexed citations
6.
Hueni, Andreas, Alexander Damm, M. Kneubuehler, Daniel Schläpfer, & Michael E. Schaepman. (2016). Field and Airborne Spectroscopy Cross Validation—Some Considerations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(3). 1117–1135. 48 indexed citations
7.
Middelmann, Wolfgang, et al.. (2015). Assessment of target detection limits in hyperspectral data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9653. 96530J–96530J. 16 indexed citations
8.
Hueni, Andreas, Tim Malthus, M. Kneubuehler, & Michael E. Schaepman. (2011). Data exchange between distributed spectral databases. Computers & Geosciences. 37(7). 861–873. 13 indexed citations
9.
Hueni, Andreas, et al.. (2009). Visualisation, processing and storage of spectrodirectional data based on the spectral database SPECCHIO. Zurich Open Repository and Archive (University of Zurich). I–84. 1 indexed citations
10.
Hueni, Andreas, Koen Meuleman, Daniel Schläpfer, et al.. (2008). Structure, Components, and Interfaces of the Airborne Prism Experiment (APEX) Processing and Archiving Facility. IEEE Transactions on Geoscience and Remote Sensing. 47(1). 29–43. 54 indexed citations
11.
Kneubuehler, M. & K.I. Itten. (2007). TOWARDS A COMPARISON OF SPACEBORNE AND GROUND-BASED SPECTRODIRECTIONAL REFLECTANCE DATA. 4 indexed citations
12.
Schlerf, Martin, Joachim Hill, Benjamin Koetz, & M. Kneubuehler. (2007). Retrieving canopy structure from hyperspectral multi - angular satellite data. University of Twente Research Information. 2 indexed citations
13.
Kneubuehler, M., et al.. (2006). Monitoring Vegetation Growth using Multitemporal CHRIS/PROBA Data. 2677–2680. 4 indexed citations
14.
Koetz, Benjamin, et al.. (2005). Influence of changing background on CHRIS/PROBA data over an heterogeneous canopy. Zurich Open Repository and Archive (University of Zurich). 1. 237–245. 5 indexed citations
15.
Koetz, Benjamin, M. Kneubuehler, J. Widlowski, et al.. (2005). Assessment of canopy structure and heterogeneity from multi-angular CHRIS-PROBA data. Zurich Open Repository and Archive (University of Zurich). 76–78. 7 indexed citations
16.
Dangel, S., Jason Brazile, M. Kneubuehler, et al.. (2005). The design and prototyping of the SPECTRA simulator architecture. Socio-Environmental Systems Modeling. 1. 129–135. 1 indexed citations
17.
Dangel, S., et al.. (2005). Intercomparison of field and laboratory goniometer measurements. Zurich Open Repository and Archive (University of Zurich). 465–467. 1 indexed citations
18.
Schaepman, Michael E., R. Zurita‐Milla, M. Kneubuehler, J.G.P.W. Clevers, & Steven Delwart. (2004). Assessment of long-term vicarious calibration efforts of MERIS on land product quality. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5570. 363–363. 3 indexed citations
19.
Kneubuehler, M., Michael E. Schaepman, Kurtis J. Thome, & Daniel Schläpfer. (2004). MERIS/ENVISAT vicarious calibration over land. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5234. 614–614. 16 indexed citations
20.
Schaepman, Michael E., M. Kneubuehler, Erich Meier, et al.. (1998). Fusion of hyperspectral (DAIS 7915), wide-angle (WAAC),and SAR (E- SAR) data acquistion methods: the MultiSwiss '97 campaign. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3438. 84–84.

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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