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.
Exploring the Space of Topic Coherence Measures
20151.2k citationsMichael Röder, Andreas Both et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Michael Röder'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 Michael Röder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Röder more than expected).
This network shows the impact of papers produced by Michael Röder. 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 Michael Röder. The network helps show where Michael Röder may publish in the future.
Co-authorship network of co-authors of Michael Röder
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Röder.
A scholar is included among the top collaborators of Michael Röder 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 Michael Röder. Michael Röder is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Moussallem, Diego, Thiago Castro Ferreira, Chris van der Lee, et al.. (2020). A General Benchmarking Framework for Text Generation. Data Archiving and Networked Services (DANS). 27–33.1 indexed citations
7.
Röder, Michael, et al.. (2020). Benchmarking the Lifecycle of Knowledge Graphs.. 73–97.
Ngomo, Axel-Cyrille Ngonga, Michael Röder, Diego Moussallem, Ricardo Usbeck, & René Speck. (2017). Automatic Generation of Benchmarks for Entity Recognition and Linking.. arXiv (Cornell University).1 indexed citations
Röder, Michael, Andreas Both, & Alexander Hinneburg. (2015). Exploring the Space of Topic Coherence Measures. 399–408.1240 indexed citations breakdown →
17.
Röder, Michael, Ricardo Usbeck, Sebastian Hellmann, Dániel Gerber, & Andreas Both. (2014). Nmbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format. Language Resources and Evaluation. 3529–3533.31 indexed citations
18.
Ngomo, Axel-Cyrille Ngonga, Michael Röder, & Ricardo Usbeck. (2014). Cross-document coreference resolution using latent features. 33–44.4 indexed citations
19.
Röder, Michael, Maximilian Speicher, & Ricardo Usbeck. (2013). Investigating Quality Raters' Performance Using Interface Evaluation Methods.. GI-Jahrestagung. 137–139.1 indexed citations
20.
Röder, Michael, et al.. (2012). Advanced Surface Movement Guidance and Control Systems. elib (German Aerospace Center).3 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.