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.
DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia
20151.6k citationsJens Lehmann, Sebastian Hellmann et al.profile →
DBpedia - A crystallization point for the Web of Data
20091.3k citationsJens Lehmann, Sören Auer et al.profile →
A systematic review of open government data initiatives
2015555 citationsJudie Attard, Fabrizio Orlandi et al.profile →
Quality assessment for Linked Data: A Survey
2015328 citationsAmrapali Zaveri, Ricardo Pietrobon et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Sören Auer'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 Sören Auer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sören Auer more than expected).
This network shows the impact of papers produced by Sören Auer. 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 Sören Auer. The network helps show where Sören Auer may publish in the future.
Co-authorship network of co-authors of Sören Auer
This figure shows the co-authorship network connecting the top 25 collaborators of Sören Auer.
A scholar is included among the top collaborators of Sören Auer 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 Sören Auer. Sören Auer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
D’Souza, Jennifer & Sören Auer. (2020). Graphing Contributions in Natural Language Processing Research: Intra-Annotator Agreement on a Trial Dataset.. arXiv (Cornell University).1 indexed citations
6.
D’Souza, Jennifer, et al.. (2020). Fine-tuning BERT with Focus Words for Explanation Regeneration.. Joint Conference on Lexical and Computational Semantics. 125–130.1 indexed citations
7.
Singh, Kuldeep, et al.. (2019). Context-aware Entity Linking with Attentive Neural Networks on Wikidata Knowledge Graph. arXiv (Cornell University).1 indexed citations
8.
Ermilov, Ivan, et al.. (2016). LDWPO A Lightweight Ontology for Linked Data Management.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 59–70.
9.
Attard, Judie, Fabrizio Orlandi, & Sören Auer. (2015). ExConQuer Framework - Softening RDF Data to Enhance Linked Data Reuse.. Fraunhofer-Publica (Fraunhofer-Gesellschaft).2 indexed citations
10.
Orlandi, Fabrizio, et al.. (2015). iRap - an Interest-Based RDF Update Propagation Framework.. Fraunhofer-Publica (Fraunhofer-Gesellschaft).1 indexed citations
11.
Fundulaki, Irini & Sören Auer. (2014). Linked Open Data - Introduction to the Special Theme.. ERCIM news/ERCIM news online edition. 2014.2 indexed citations
12.
Auer, Sören, Thomas Riechert, & Klaus‐Peter Fähnrich. (2014). SoftWiki - Agiles Requirements-Engineering für Softwareprojekte mit einer großen Anzahl verteilter Stakeholder. Qucosa (Saxon State and University Library Dresden). 97–108.
13.
Auer, Sören, et al.. (2013). Towards linked data based enterprise information integration. International Semantic Web Conference. 26–34.8 indexed citations
14.
Ngomo, Axel-Cyrille Ngonga, Jens Lehmann, Sören Auer, & Konrad Höffner. (2011). RAVEN - active learning of link specifications. 25–36.27 indexed citations
15.
Zaveri, Amrapali, et al.. (2010). Evaluating the disparity between active areas of biomedical research and the global burden of disease employing Linked Data and data-driven discovery. Data Archiving and Networked Services (DANS).1 indexed citations
16.
Lohmann, Steffen, Thomas Riechert, & Sören Auer. (2008). Collaborative development of knowledge bases in distributed requirements elicitation. 22–28.7 indexed citations
Aslam, Muhammad Ahtisham, Sören Auer, Jun Shen, & Michael Herrmann. (2006). Expressing business process models as OWL-S ontologies. Research Online (University of Wollongong).5 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.