This map shows the geographic impact of F. Seifert'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 F. Seifert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Seifert more than expected).
This network shows the impact of papers produced by F. Seifert. 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 F. Seifert. The network helps show where F. Seifert may publish in the future.
Co-authorship network of co-authors of F. Seifert
This figure shows the co-authorship network connecting the top 25 collaborators of F. Seifert.
A scholar is included among the top collaborators of F. Seifert 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 F. Seifert. F. Seifert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Westermann, Sebastian, Tazio Strozzi, Andreas Wiesmann, et al.. (2019). Circumpolar mapping of permafrost temperature and thaw depth in the ESA Permafrost CCI project. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 10479.1 indexed citations
4.
Santoro, Maurizio, Oliver Cartus, Stéphane Mermoz, et al.. (2018). A detailed portrait of the forest aboveground biomass pool for the year 2010 obtained from multiple remote sensing observations. EGU General Assembly Conference Abstracts. 18932.13 indexed citations
5.
Bartsch, Annett, Guido Grosse, Andreas Kääb, et al.. (2017). Examining Environmental Gradients with Remotely Sensed Data – the ESA GlobPermafrost project. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut).
6.
Häme, Tuomas, et al.. (2017). Forestry-TEP responds to user needs for sentinel data value adding in cloud. 239–242.1 indexed citations
7.
Bartsch, Annett, Guido Grosse, Andreas Kääb, et al.. (2016). GlobPermafrost- How Space-BasedEarth Observation Supports Understanding of Permafrost. ESASP. 740. 332.8 indexed citations
Lamarche, Céline, Astrid Verhegghen, Vasileios Kalogirou, et al.. (2013). Characterizing The Surface Dynamics For Land Cover Mapping: Current Achievements Of The ESA CCI Land Cover. 722. 79.1 indexed citations
10.
Rauste, Yrjö, et al.. (2013). Mapping Selective Logging In Tropical Forest With Space-Borne SAR Data. 722. 168.6 indexed citations
Costantini, Marco, et al.. (2006). A Data Fusion Technique for Mosaicking of Different Sources Digital Elevation Models. 610. 69.1 indexed citations
16.
Seifert, F.. (2005). Prediction-Driven Correlation of Audio with Generic Music Templates.. 383–388.1 indexed citations
17.
Seifert, F., et al.. (2003). Music identification by leadsheets: Converging perceptive and productive musical principles for estimation of semantic similarity of musical documents.. International Symposium/Conference on Music Information Retrieval.1 indexed citations
18.
Seifert, F., et al.. (2003). Music identification by Leadsheets.1 indexed citations
19.
Chen, Erxue, Zengyuan Li, Lina Bai, et al.. (2001). Mapping China Forest with ERS SAR Tandem Data (MACFERST).1 indexed citations
20.
Zink, Matthias, et al.. (1997). Microwave Remote Sensing for Monitoring Forest Vitality.. elib (German Aerospace Center). 414. 1891–1897.5 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.