Countries citing papers authored by Ulrich Schäfer
Since
Specialization
Citations
This map shows the geographic impact of Ulrich Schäfer'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 Ulrich Schäfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Schäfer more than expected).
This network shows the impact of papers produced by Ulrich Schäfer. 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 Ulrich Schäfer. The network helps show where Ulrich Schäfer may publish in the future.
Co-authorship network of co-authors of Ulrich Schäfer
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Schäfer.
A scholar is included among the top collaborators of Ulrich Schäfer 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 Ulrich Schäfer. Ulrich Schäfer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schäfer, Ulrich, et al.. (2012). A Graphical Citation Browser for the ACL Anthology. Language Resources and Evaluation. 1718–1722.4 indexed citations
5.
Schäfer, Ulrich, et al.. (2012). A Fully Coreference-annotated Corpus of Scholarly Papers from the ACL Anthology. International Conference on Computational Linguistics. 1059–1070.13 indexed citations
Dong, Cailing & Ulrich Schäfer. (2011). Ensemble-style Self-training on Citation Classification. International Joint Conference on Natural Language Processing. 623–631.58 indexed citations
8.
Schäfer, Ulrich, et al.. (2011). The ACL Anthology Searchbench. Meeting of the Association for Computational Linguistics. 7–13.24 indexed citations
9.
Schäfer, Ulrich, et al.. (2010). Scientific Authoring Support: A Tool to Navigate in Typed Citation Graphs. North American Chapter of the Association for Computational Linguistics. 7–14.14 indexed citations
10.
Krieger, Hans‐Ulrich & Ulrich Schäfer. (2010). DL Meet FL: A Bidirectional Mapping between Ontologies and Linguistic Knowledge. International Conference on Computational Linguistics. 588–596.1 indexed citations
11.
Bramantoro, Arif, Ulrich Schäfer, & Toru Ishida. (2010). Towards an Integrated Architecture for Composite Language Services and Multiple Linguistic Processing Components. Language Resources and Evaluation. 3506–3511.8 indexed citations
12.
Schäfer, Ulrich, et al.. (2008). Extracting and Querying Relations in Scientific Papers on Language Technology. Language Resources and Evaluation.2 indexed citations
13.
Schäfer, Ulrich & Daniel Beck. (2006). Automatic Testing and Evaluation of Multilingual Language Technology Resources and Components. Language Resources and Evaluation. 173–178.2 indexed citations
14.
Copestake, Ann, et al.. (2006). Preprocessing and Tokenisation Standards in DELPH-IN Tools. Language Resources and Evaluation. 2263–2268.8 indexed citations
15.
Schäfer, Ulrich. (2006). OntoNERdIE – Mapping and Linking Ontologies to Named Entity Recognition and Information Extraction Resources. Language Resources and Evaluation. 1756–1761.10 indexed citations
Fahr, Alfred, Ulrich Schäfer, Daya D. Verma, & Gabriele Blume. (2000). Skin penetration enhancement of substances by a novel type of liposomes. 126(9). 48–53.3 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.