This map shows the geographic impact of Frank Canters'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 Frank Canters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Canters more than expected).
This network shows the impact of papers produced by Frank Canters. 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 Frank Canters. The network helps show where Frank Canters may publish in the future.
Co-authorship network of co-authors of Frank Canters
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Canters.
A scholar is included among the top collaborators of Frank Canters 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 Frank Canters. Frank Canters is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Verbeiren, Boud, Marijke Huysmans, Frank Canters, et al.. (2014). Differentiating between influencing factors land use and climate to assess drought effects on groundwater recharge in a temperate context. Open Repository and Bibliography (University of Liège).1 indexed citations
Cornet, Yves, et al.. (2012). Predicting the spatial distribution of population based on impervious surface maps and modeled land use change. Open Repository and Bibliography (University of Liège).2 indexed citations
5.
Berezowski, Tomasz, Jarosław Chormański, Okke Batelaan, Frank Canters, & Tim Van de Voorde. (2012). Quantifying land-cover proportions for urban runoff prediction. The advantage of distributed remote sensing techniques.. VUBIR (Vrije Universiteit Brussel). 10392.1 indexed citations
6.
Voorde, Tim Van de, Johannes van der Kwast, Inge Uljee, Guy Engelen, & Frank Canters. (2010). Improving the calibration of the MOLAND urban growth model with land-use information derived from a time-series of medium resolution remote sensing data. VUBIR (Vrije Universiteit Brussel). 89–104.1 indexed citations
Chan, Jonathan Cheung-Wai, et al.. (2009). Use of superresolution enhanced CHRIS/Proba images for land-cover classification and spectral unmixing. VUBIR (Vrije Universiteit Brussel).4 indexed citations
9.
Anibas, Christian, et al.. (2009). Improving surface-subsurface water budgeting for Brownfield study sites using high resolution satellite imagery. Lirias (KU Leuven). 7052.1 indexed citations
10.
Chan, Jonathan Cheung-Wai, et al.. (2009). Automatic image registration of multi-angle imagery for CHRIS/PROBA. VUBIR (Vrije Universiteit Brussel).3 indexed citations
11.
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
12.
Voorde, Tim Van de, et al.. (2007). Improving pixel-based VHR land-cover classifications of urban areas with post-classification techniques. Ghent University Academic Bibliography (Ghent University).44 indexed citations
13.
Canters, Frank, Tim Van de Voorde, Okke Batelaan, et al.. (2007). Measuring and modeling urban dynamics: Impact on quality of life and hydrology. VUBIR (Vrije Universiteit Brussel). 1994–1997.1 indexed citations
14.
Canters, Frank, Jarosław Chormański, Tim Van de Voorde, & Okke Batelaan. (2006). Effects of different methods for estimating impervious surface cover on runoff estimation at catchment level. Lirias (KU Leuven). 557–566.14 indexed citations
15.
Voorde, Tim Van de, et al.. (2005). Sub-pixel mapping of impervious surfaces from Landsat ETM+ data using reference proportions derived from VHR data. VUBIR (Vrije Universiteit Brussel).1 indexed citations
16.
Canters, Frank, et al.. (2005). A new approach for designing orthophanic world maps. VUBIR (Vrije Universiteit Brussel).1 indexed citations
17.
Canters, Frank, et al.. (2004). Extracting detailed urban land-cover information from hyperspectral imagery. VUBIR (Vrije Universiteit Brussel).1 indexed citations
18.
Stéphenne, Nathalie, Frank Canters, & Éléonore Wolff. (2004). Geographic information needs of local and regional authorities in Belgium. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).1 indexed citations
19.
Voorde, Tim Van de, et al.. (2003). Extraction of land use / landcover – related information from very high resolution data in urban and suburban areas. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 237–244.22 indexed citations
20.
Canters, Frank. (1997). Evaluating the uncertainty of area estimates derived from fuzzy land-cover classification.. Photogrammetric Engineering & Remote Sensing. 63(4). 403–414.72 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.