Pieter Kempeneers

2.5k total citations
60 papers, 1.3k citations indexed

About

Pieter Kempeneers is a scholar working on Ecology, Environmental Engineering and Media Technology. According to data from OpenAlex, Pieter Kempeneers has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Ecology, 18 papers in Environmental Engineering and 15 papers in Media Technology. Recurrent topics in Pieter Kempeneers's work include Remote Sensing in Agriculture (36 papers), Remote Sensing and LiDAR Applications (15 papers) and Remote-Sensing Image Classification (13 papers). Pieter Kempeneers is often cited by papers focused on Remote Sensing in Agriculture (36 papers), Remote Sensing and LiDAR Applications (15 papers) and Remote-Sensing Image Classification (13 papers). Pieter Kempeneers collaborates with scholars based in Belgium, Italy and Netherlands. Pieter Kempeneers's co-authors include Paul Scheunders, Pierre Soille, Walter Debruyn, Fernando Sedano, Peter Strobl, Jesús San-Miguel-Ayanz, Raphaël d’Andrimont, Michele Meroni, Astrid Verhegghen and Guido Lemoine and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Pieter Kempeneers

52 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
Pieter Kempeneers Belgium 21 743 420 392 324 250 60 1.3k
Desiré Paelinckx Belgium 10 678 0.9× 392 0.9× 295 0.8× 242 0.7× 175 0.7× 37 1.2k
Andreas Rabe Germany 10 759 1.0× 612 1.5× 343 0.9× 432 1.3× 336 1.3× 16 1.3k
Laurence Hubert‐Moy France 22 737 1.0× 559 1.3× 437 1.1× 215 0.7× 161 0.6× 40 1.3k
Giovanni Laneve Italy 22 699 0.9× 694 1.7× 415 1.1× 219 0.7× 203 0.8× 130 1.7k
Damien Arvor France 24 983 1.3× 1.0k 2.5× 347 0.9× 273 0.8× 353 1.4× 74 2.0k
Emma Izquierdo‐Verdiguier Spain 16 485 0.7× 295 0.7× 268 0.7× 254 0.8× 207 0.8× 60 982
Fuan Tsai Taiwan 16 502 0.7× 259 0.6× 245 0.6× 396 1.2× 267 1.1× 76 1.4k
Bogdan Zagajewski Poland 20 810 1.1× 317 0.8× 396 1.0× 256 0.8× 212 0.8× 75 1.4k

Countries citing papers authored by Pieter Kempeneers

Since Specialization
Citations

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

Fields of papers citing papers by Pieter Kempeneers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pieter Kempeneers

This figure shows the co-authorship network connecting the top 25 collaborators of Pieter Kempeneers. A scholar is included among the top collaborators of Pieter Kempeneers 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 Pieter Kempeneers. Pieter Kempeneers 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.
d’Andrimont, Raphaël, Martin Claverie, Pieter Kempeneers, et al.. (2023). AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography. Earth system science data. 15(1). 317–329. 13 indexed citations
2.
Kempeneers, Pieter, et al.. (2022). Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure. Remote Sensing. 14(2). 398–398. 2 indexed citations
3.
d’Andrimont, Raphaël, Astrid Verhegghen, Guido Lemoine, et al.. (2021). From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations. Remote Sensing of Environment. 266. 112708–112708. 160 indexed citations
4.
Corbane, Christina, Panagiotis Politis, Pieter Kempeneers, et al.. (2020). A global cloud free pixel- based image composite from Sentinel-2 data. SHILAP Revista de lepidopterología. 31. 105737–105737. 50 indexed citations
5.
Syrris, Vasileios, et al.. (2019). Evaluation of the Potential of Convolutional Neural Networks and Random Forests for Multi-Class Segmentation of Sentinel-2 Imagery. Remote Sensing. 11(8). 907–907. 30 indexed citations
6.
Kempeneers, Pieter, et al.. (2019). pyjeo: A Python Package for the Analysis of Geospatial Data. ISPRS International Journal of Geo-Information. 8(10). 461–461. 8 indexed citations
7.
Pebesma, Edzer, Pierre Soille, Noel Gorelick, et al.. (2018). openEO: an open API for cloud-based big Earth Observation processing platforms. EGU General Assembly Conference Abstracts. 4957. 3 indexed citations
8.
Soille, Pierre, et al.. (2017). The JRC Earth Observation Data and Processing Platform. Joint Research Centre (European Commission). 1 indexed citations
9.
Hattab, Tarek, Carol X. Garzón‐López, Michael Ewald, et al.. (2017). A unified framework to model the potential and realized distributions of invasive species within the invaded range. Diversity and Distributions. 23(7). 806–819. 56 indexed citations
10.
Haest, Birgen, Jeroen Vanden Borre, Toon Spanhove, et al.. (2017). Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy. Remote Sensing. 9(3). 266–266. 30 indexed citations
11.
McInerney, Daniel & Pieter Kempeneers. (2014). Open Source Geospatial Tools. 24 indexed citations
12.
Kempeneers, Pieter, et al.. (2014). Tree species mapping by combining hyperspectral with LiDAR data. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1–4. 2 indexed citations
13.
Kempeneers, Pieter, et al.. (2013). Geometric Errors of Remote Sensing Images Over Forest and Their Propagation to Bidirectional Studies. IEEE Geoscience and Remote Sensing Letters. 10(6). 1459–1463. 3 indexed citations
14.
Kempeneers, Pieter, et al.. (2012). Increasing Robustness of Postclassification Change Detection Using Time Series of Land Cover Maps. IEEE Transactions on Geoscience and Remote Sensing. 50(9). 3327–3339. 24 indexed citations
15.
Chan, Jonathan Cheung-Wai, Jingsheng Ma, Pieter Kempeneers, et al.. (2008). Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 6-11 July 2008, Boston, Massachusetts, USA. 5 indexed citations
16.
Kempeneers, Pieter, Pablo J. Zarco‐Tejada, Peter North, et al.. (2008). Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery. International Journal of Remote Sensing. 29(17-18). 5093–5111. 29 indexed citations
17.
Delalieux, Stephanie, J. A. N. van Aardt, Pablo J. Zarco‐Tejada, et al.. (2007). Development of robust hyperspectral indices for the detection of deviations of normal plant state. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 6(2). 82–93. 8 indexed citations
18.
Kempeneers, Pieter, Steve De Backer, Walter Debruyn, Pol Coppin, & Paul Scheunders. (2005). Generic wavelet-based hyperspectral classification applied to vegetation stress detection. IEEE Transactions on Geoscience and Remote Sensing. 43(3). 610–614. 32 indexed citations
19.
Kempeneers, Pieter, Sindy Sterckx, Walter Debruyn, et al.. (2005). Retrieval of oceanic constituents from ocean color using simulated annealing. 8. 5651–5654. 7 indexed citations
20.
Kempeneers, Pieter, Steve De Backer, Walter Debruyn, & Paul Scheunders. (2004). Wavelet-based feature extraction for hyperspectral vegetation monitoring. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5238. 297–297. 13 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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