Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling
2019303 citationsStefanos Georganos, Taïs Grippa et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Éléonore Wolff
Since
Specialization
Citations
This map shows the geographic impact of Éléonore Wolff'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 Éléonore Wolff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éléonore Wolff more than expected).
This network shows the impact of papers produced by Éléonore Wolff. 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 Éléonore Wolff. The network helps show where Éléonore Wolff may publish in the future.
Co-authorship network of co-authors of Éléonore Wolff
This figure shows the co-authorship network connecting the top 25 collaborators of Éléonore Wolff.
A scholar is included among the top collaborators of Éléonore Wolff 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 Éléonore Wolff. Éléonore Wolff is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stéphenne, Nathalie, et al.. (2016). User participation in SmartPop methodology of updating the Walloon Land Use Land Cover map. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).2 indexed citations
9.
Kervyn, François, et al.. (2013). Geo-risk in Central Africa: integrating multi-hazards and vulnerability to support risk management. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 15. 13223.3 indexed citations
10.
Vanhuysse, Sabine, Carla Ippoliti, Annamaria Conte, et al.. (2010). Object-based classification of SPOT and ASTER data complemented with data derived from MODIS vegetation indices time series in a Mediterranean test-site. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 38.1 indexed citations
11.
Wolff, Éléonore, et al.. (2010). Change detection for update of topographic databases through multi-level region-based classification of VHR optical and SAR data. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).4 indexed citations
12.
Wolff, Éléonore, et al.. (2010). Comparison of standardized methods (object-oriented vs. per pixel) to extract the urban built-up area: example of lubumbashi (DRC). Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).4 indexed citations
13.
Wolff, Éléonore, et al.. (2010). Detecting man-made structure changes to assist geographic data producers in planning their update strategy. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 38. 26–33.7 indexed citations
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
16.
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
17.
Acheroy, Marc, et al.. (2002). PARADIS: A Prototype for Assisting Rational Activities in Humanitarian Demining Using Images from Satellites. JMU Scholoraly Commons (James Madison University).3 indexed citations
18.
Debeir, Olivier, et al.. (2002). Textural and contextual land-cover classification using single and multiple classifier systems. Photogrammetric Engineering & Remote Sensing. 68(6). 597–605.44 indexed citations
19.
Acheroy, Marc, et al.. (2000). A GEOGRAPHICAL INFORMATION SYSTEM FOR HUMANITARIAN DEMINING. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 33. 738–743.2 indexed citations
20.
Wolff, Éléonore, et al.. (1995). The impact of an agricultural development project on a tropical forest environment: the case of Shaba (Zaïre). Photogrammetric Engineering & Remote Sensing. 61(9). 1153–1158.6 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.