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.
RoboEarth
2011301 citationsMarkus Waibel, Michael Beetz et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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Countries citing papers authored by Moritz Tenorth
Since
Specialization
Citations
This map shows the geographic impact of Moritz Tenorth'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 Moritz Tenorth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Tenorth more than expected).
This network shows the impact of papers produced by Moritz Tenorth. 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 Moritz Tenorth. The network helps show where Moritz Tenorth may publish in the future.
Co-authorship network of co-authors of Moritz Tenorth
This figure shows the co-authorship network connecting the top 25 collaborators of Moritz Tenorth.
A scholar is included among the top collaborators of Moritz Tenorth 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 Moritz Tenorth. Moritz Tenorth is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Beetz, Michael, et al.. (2015). Open-EASE -- A Knowledge Processing Service for Robots and Robotics/AI Researchers. International Conference on Robotics and Automation.35 indexed citations
Tenorth, Moritz, et al.. (2013). The RoboEarth Language: Representing and Exchanging Knowledge about Actions, Objects, and Environments. International Joint Conference on Artificial Intelligence.10 indexed citations
7.
Tenorth, Moritz & Michael Beetz. (2012). Knowledge Processing for Autonomous Robot Control. National Conference on Artificial Intelligence.16 indexed citations
Beetz, Michael, Moritz Tenorth, Dejan Pangercic, & Benjamin Pitzer. (2012). Semantic Object Maps for Household Tasks.1 indexed citations
10.
Waibel, Markus, Michael Beetz, Raffaello D’Andrea, et al.. (2011). RoboEarth - A World Wide Web for Robots. mediaTUM (Technical University of Munich). 18(2).80 indexed citations
11.
Blodow, Nico, Zoltán-Csaba Márton, Dejan Pangercic, et al.. (2011). Inferring Generalized Pick-and-Place Tasks from Pointing Gestures. International Conference on Robotics and Automation.3 indexed citations
12.
Tenorth, Moritz, Ulrich Klank, Dejan Pangercic, & Michael Beetz. (2011). Web-enabled Robots -- Robots that Use the Web as an Information Resource. International Conference on Robotics and Automation. 18.27 indexed citations
Pangercic, Dejan, Rok Tavčar, Moritz Tenorth, & Michael Beetz. (2009). Visual Scene Detection and Interpretation using Encyclopedic Knowledge and Formal Description Logic.10 indexed citations
Beetz, Michael, Jan Bandouch, Dominik Jain, & Moritz Tenorth. (2009). Towards Automated Models of Activities of Daily Life.2 indexed citations
20.
Stulp, Freek, et al.. (2009). Combining Analysis, Imitation, and Experience-based Learning to Acquire a Concept of Reachability.1 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.