Ulrich Schäfer

3.0k citations
55 papers · 1.9k indexed · h-index 18

Ulrich Schäfer

52 papers receiving 1.7k citations

Peers

Ulrich Schäfer
Comparison fields: 5 of 142
  • Pharmaceutical Science 728
  • Artificial Intelligence 500
  • Biomaterials 321
  • Molecular Biology 260
  • Dermatology 214
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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).

Fields of papers citing papers by Ulrich Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 11
3
A Graphical Citation Browser for the ACL Anthology
4
4
A Fully Coreference-annotated Corpus of Scholarly Papers from the ACL Anthology
13
5
The ACL Anthology Searchbench
24
6
Ensemble-style Self-training on Citation Classification
58
7
Scientific Authoring Support: A Tool to Navigate in Typed Citation Graphs
14
8
DL Meet FL: A Bidirectional Mapping between Ontologies and Linguistic Knowledge
1
9
Towards an Integrated Architecture for Composite Language Services and Multiple Linguistic Processing Components
8
10
Extracting and Querying Relations in Scientific Papers on Language Technology
2
11
OntoNERdIE – Mapping and Linking Ontologies to Named Entity Recognition and Information Extraction Resources
10
12
Preprocessing and Tokenisation Standards in DELPH-IN Tools
8
13
Automatic Testing and Evaluation of Multilingual Language Technology Resources and Components
2
14 73
15 49
16
The DeepThought Core Architecture Framework
28
17 68
18 410
19
Skin penetration enhancement of substances by a novel type of liposomes
3
20 53

About Ulrich Schäfer

Ulrich Schäfer is a scholar working on Pharmaceutical Science, Artificial Intelligence and Dermatology, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (25 papers), Semantic Web and Ontologies (19 papers) and Topic Modeling (15 papers). The work is most often cited by research in Pharmaceutical Science (728 citations), Biomaterials (321 citations) and Dermatology (214 citations). Ulrich Schäfer has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Claus‐Michael Lehr, Alf Lamprecht, Hans‐Ulrich Krieger, Hirofumi Takeuchi, Nathalie Ubrich, Philippe Maincent, Wolfram Sterry, Heike Richter, Hiromitsu Yamamoto and Fanny Knorr. Their work appears in journals such as Journal of Controlled Release, Journal of Pharmacology and Experimental Therapeutics and Pharmaceutical Research.

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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