Fabian M. Suchanek

12.1k total citations · 4 hit papers
70 papers, 3.9k citations indexed

About

Fabian M. Suchanek is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Fabian M. Suchanek has authored 70 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 30 papers in Information Systems and 13 papers in Computer Networks and Communications. Recurrent topics in Fabian M. Suchanek's work include Semantic Web and Ontologies (41 papers), Natural Language Processing Techniques (26 papers) and Topic Modeling (25 papers). Fabian M. Suchanek is often cited by papers focused on Semantic Web and Ontologies (41 papers), Natural Language Processing Techniques (26 papers) and Topic Modeling (25 papers). Fabian M. Suchanek collaborates with scholars based in Germany, France and United States. Fabian M. Suchanek's co-authors include Gerhard Weikum, Gjergji Kasneci, Johannes Hoffart, Klaus Berberich, Luis Galárraga, Christina Teflioudi, Katja Hose, Georgiana Ifrim, Ndapa Nakashole and Maya Ramanath and has published in prestigious journals such as Communications of the ACM, ACM Computing Surveys and Artificial Intelligence.

In The Last Decade

Fabian M. Suchanek

65 papers receiving 3.6k citations

Hit Papers

YAGO2: A spatially and temporally enhanced knowledge base... 2008 2026 2014 2020 2012 2008 2013 2015 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabian M. Suchanek Germany 24 3.4k 1.1k 855 493 417 70 3.9k
Kurt Bollacker United States 15 3.7k 1.1× 1.4k 1.3× 755 0.9× 379 0.8× 220 0.5× 27 4.6k
Richard Cyganiak Ireland 18 2.4k 0.7× 1.2k 1.1× 687 0.8× 620 1.3× 212 0.5× 36 2.8k
Michele Banko United States 19 3.1k 0.9× 1.1k 1.0× 365 0.4× 195 0.4× 182 0.4× 24 3.5k
Hugo Zaragoza United Kingdom 22 2.6k 0.8× 1.8k 1.6× 255 0.3× 283 0.6× 339 0.8× 52 3.4k
Anja Jentzsch Germany 10 1.7k 0.5× 477 0.4× 511 0.6× 193 0.4× 127 0.3× 18 2.0k
Alberto H. F. Laender Brazil 26 1.4k 0.4× 1.3k 1.2× 742 0.9× 631 1.3× 431 1.0× 164 2.6k
Colin Evans United States 4 2.7k 0.8× 537 0.5× 560 0.7× 136 0.3× 104 0.2× 4 2.9k
Klaus Berberich Germany 17 1.4k 0.4× 617 0.6× 255 0.3× 271 0.5× 303 0.7× 72 1.7k
Axel Polleres Austria 29 2.4k 0.7× 1.5k 1.3× 706 0.8× 974 2.0× 285 0.7× 163 3.0k
Robert Isele Germany 10 1.8k 0.5× 534 0.5× 586 0.7× 186 0.4× 112 0.3× 20 2.0k

Countries citing papers authored by Fabian M. Suchanek

Since Specialization
Citations

This map shows the geographic impact of Fabian M. Suchanek'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 Fabian M. Suchanek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian M. Suchanek more than expected).

Fields of papers citing papers by Fabian M. Suchanek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabian M. Suchanek. 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 Fabian M. Suchanek. The network helps show where Fabian M. Suchanek may publish in the future.

Co-authorship network of co-authors of Fabian M. Suchanek

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian M. Suchanek. A scholar is included among the top collaborators of Fabian M. Suchanek 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 Fabian M. Suchanek. Fabian M. Suchanek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Razniewski, Simon, et al.. (2024). Completeness, Recall, and Negation in Open-world Knowledge Bases: A Survey. ACM Computing Surveys. 56(6). 1–42. 2 indexed citations
2.
Suchanek, Fabian M., et al.. (2024). YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy. SPIRE - Sciences Po Institutional REpository. 131–140. 5 indexed citations
3.
Perez-Lebel, Alexandre, et al.. (2024). Reconfidencing LLMs from the Grouping Loss Perspective. 1567–1581. 1 indexed citations
4.
Jain, Nitisha, et al.. (2022). Combining Embeddings and Rules for Fact Prediction (Invited Paper). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
5.
Bifet, Albert, et al.. (2021). Confident Interpretations of Black Box Classifiers. SPIRE - Sciences Po Institutional REpository. 12. 1–8. 1 indexed citations
6.
Weikum, Gerhard, Xin Dong, Simon Razniewski, & Fabian M. Suchanek. (2020). Machine Knowledge: Creation and Curation of Comprehensive Knowledge\n Bases. arXiv (Cornell University). 44 indexed citations
7.
Galárraga, Luis, Christina Teflioudi, Katja Hose, & Fabian M. Suchanek. (2015). Fast rule mining in ontological knowledge bases with AMIE $$+$$ +. The VLDB Journal. 24(6). 707–730. 236 indexed citations breakdown →
8.
Biega, Joanna, et al.. (2014). YAGO3: A Knowledge Base from Multilingual Wikipedias. Max Planck Digital Library. 92 indexed citations
9.
Suchanek, Fabian M. & Gerhard Weikum. (2014). Knowledge bases in the age of big data analytics. Proceedings of the VLDB Endowment. 7(13). 1713–1714. 23 indexed citations
10.
Galárraga, Luis, Christina Teflioudi, Katja Hose, & Fabian M. Suchanek. (2013). AMIE: Association Rule Mining under Incomplete Evidence in Ontological Knowledge Bases. VBN Forskningsportal (Aalborg Universitet). 73 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.
Galárraga, Luis, Christina Teflioudi, Katja Hose, & Fabian M. Suchanek. (2013). Proceedings of the 22nd International World Wide Web Conference, WWW'13. 8 indexed citations
13.
Suchanek, Fabian M., Sebastian Riedel, Sameer Singh, & Partha Talukdar. (2013). Proceedings of the 2013 workshop on Automated knowledge base construction.
14.
Nakashole, Ndapa, Gerhard Weikum, & Fabian M. Suchanek. (2013). Discovering semantic relations from the web and organizing them with PATTY. ACM SIGMOD Record. 42(2). 29–34. 14 indexed citations
15.
Biega, Joanna, et al.. (2013). Mining history with Le Monde. 49–54. 18 indexed citations
16.
Nakashole, Ndapa, Gerhard Weikum, & Fabian M. Suchanek. (2012). PATTY: A Taxonomy of Relational Patterns with Semantic Types. MPG.PuRe (Max Planck Society). 1135–1145. 215 indexed citations
17.
Nakashole, Ndapa, Gerhard Weikum, & Fabian M. Suchanek. (2012). Discovering and exploring relations on the web. Proceedings of the VLDB Endowment. 5(12). 1982–1985. 16 indexed citations
18.
Suchanek, Fabian M. & Anisoara Nica. (2010). Proceedings of the sixth workshop on Ph.D. students in information and knowledge management.
19.
Suchanek, Fabian M., Gerhard Weikum, & Rudi Studer. (2009). Automated Construction and Growth of a Large Ontology. Max Planck Institute for Plasma Physics. 15 indexed citations
20.
Zhang, Qi, Fabian M. Suchanek, & Gerhard Weikum. (2008). TOB: Timely Ontologies for Business Relations. Max Planck Institute for Plasma Physics. 4 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.

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