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.
Generation and performance assessment of the global TanDEM-X digital elevation model
2017380 citationsPaola Rizzoli, Michele Martone et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Daniel Schulze
Since
Specialization
Citations
This map shows the geographic impact of Daniel Schulze'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 Daniel Schulze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schulze more than expected).
This network shows the impact of papers produced by Daniel Schulze. 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 Daniel Schulze. The network helps show where Daniel Schulze may publish in the future.
Co-authorship network of co-authors of Daniel Schulze
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Schulze.
A scholar is included among the top collaborators of Daniel Schulze 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 Daniel Schulze. Daniel Schulze is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Böer, Johannes, Carolina González, Christopher Wecklich, et al.. (2016). Performance Assessment of the Final TanDEM-X DEM. elib (German Aerospace Center). 740. 81.2 indexed citations
11.
Steinbrecher, Ulrich, et al.. (2014). TanDEM-X Mission: Long Term in Orbit Synchronisation Link Performance Analysis. elib (German Aerospace Center). 1–4.6 indexed citations
12.
Steinbrecher, Ulrich, et al.. (2014). Overview and Status of TerraSAR-X / TanDEM-X Long Term System Monitoring. 1–4.2 indexed citations
13.
Kraus, Thomas, et al.. (2014). A Global Performance Assessment Approach for the TerraSAR-X Staring Spotlight and Wide ScanSAR Modes. elib (German Aerospace Center). 1–4.3 indexed citations
14.
Schulze, Daniel, Markus Bachmann, Paola Rizzoli, et al.. (2014). Status of TanDEM-X DEM Acquisition, Calibration and Performance. elib (German Aerospace Center). 1–4.2 indexed citations
15.
Tridon, Daniela Borla, et al.. (2014). TanDEM-X DEM Difficult Terrain & Antarctica Acquisitions towards the Planning of the Science Phase. 1–4.5 indexed citations
16.
Steinbrecher, Ulrich, et al.. (2012). System commanding and performance of TanDEM-X scientific modes. 171–174.2 indexed citations
17.
Brcic, Ramon, Michael Eineder, Richard Bamler, et al.. (2009). Delta-k Wideband SAR Interferometry for DEM Generation and Persistent Scatterers using TerraSAR-X Data. elib (German Aerospace Center). 677. 3.3 indexed citations
18.
Schulze, Daniel, Manfred Zink, Gerhard Krieger, Johannes Böer, & Alberto Moreira. (2009). TANDEM-X Mission Concept and Status. elib (German Aerospace Center). 677. 46.5 indexed citations
19.
Schulze, Daniel, Manfred Zink, Gerhard Krieger, et al.. (2008). TanDEM-X - TerraSAR-X add-on for Digital Elevation Measurements. elib (German Aerospace Center). 32(3). 51–4.4 indexed citations
20.
Mittermayer, Josef, et al.. (2008). TerraSAR-X System Performance & Command Generation. 1–4.9 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.