This map shows the geographic impact of Uwe Weidner'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 Uwe Weidner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Weidner more than expected).
This network shows the impact of papers produced by Uwe Weidner. 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 Uwe Weidner. The network helps show where Uwe Weidner may publish in the future.
Co-authorship network of co-authors of Uwe Weidner
This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Weidner.
A scholar is included among the top collaborators of Uwe Weidner 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 Uwe Weidner. Uwe Weidner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Weidner, Uwe, et al.. (2018). Erste Erfahrungen mit der Nutzung von Sentinel-2 Daten zur multispektralen und multitemporalen Analyse mit verschiedenen Klassifizierungsverfahren. 58.1 indexed citations
Weidner, Uwe, et al.. (2004). Use of hyperspectral and laser scanning data for the characterization of surfaces in urban areas. 1011.6 indexed citations
16.
Weidner, Uwe, et al.. (2003). A new approach towards quantitative quality evaluation of 3D building models. 156.15 indexed citations
Weidner, Uwe. (1997). Gebäudeerfassung aus Digitalen Oberflächenmodellen.14 indexed citations
19.
Brunn, Ansgar & Uwe Weidner. (1997). Extracting Buildings from Digital Surface models.81 indexed citations
20.
Weidner, Uwe. (1996). An Approach to Building Extraction from Digital Surface Models. 924.27 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.