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.
YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
2012745 citationsJohannes Hoffart, Fabian M. Suchanek et al.Artificial Intelligenceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Johannes Hoffart
Since
Specialization
Citations
This map shows the geographic impact of Johannes Hoffart'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 Johannes Hoffart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Hoffart more than expected).
Fields of papers citing papers by Johannes Hoffart
This network shows the impact of papers produced by Johannes Hoffart. 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 Johannes Hoffart. The network helps show where Johannes Hoffart may publish in the future.
Co-authorship network of co-authors of Johannes Hoffart
This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Hoffart.
A scholar is included among the top collaborators of Johannes Hoffart 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 Johannes Hoffart. Johannes Hoffart is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hoffart, Johannes, et al.. (2014). STICS. 1247–1248.33 indexed citations
11.
Hoffart, Johannes, Fabian M. Suchanek, Klaus Berberich, & Gerhard Weikum. (2013). YAGO2: a spatially and temporally enhanced knowledge base from wikipedia (extended abstract). Max Planck Digital Library. 3161–3165.12 indexed citations
12.
Jiang, Lili, Yafang Wang, Johannes Hoffart, & Gerhard Weikum. (2013). Crowdsourced entity markup. Max Planck Digital Library. 59–68.8 indexed citations
13.
Suchanek, Fabian M., et al.. (2013). YAGO2s: Modular High-quality Information Extraction with an Application to Flight Planning. MPG.PuRe (Max Planck Society). 515–518.9 indexed citations
14.
Wang, Yafang, et al.. (2013). YaLi. 1111–1112.1 indexed citations
Hoffart, Johannes, Stephan Seufert, Dat Ba Nguyen, Martin Theobald, & Gerhard Weikum. (2012). KORE. 545–554.126 indexed citations
17.
Hoffart, Johannes, Fabian M. Suchanek, Klaus Berberich, & Gerhard Weikum. (2012). YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia. Artificial Intelligence. 194. 28–61.745 indexed citations breakdown →
18.
Hoffart, Johannes, et al.. (2011). YAGO2. Max Planck Institute for Plasma Physics. 229–232.177 indexed citations
19.
Yosef, Mohamed Amir, Johannes Hoffart, Ilaria Bordino, Marc Spaniol, & Gerhard Weikum. (2011). AIDA. Proceedings of the VLDB Endowment. 4(12). 1450–1453.85 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.