This map shows the geographic impact of Katja Markert'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 Katja Markert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Markert more than expected).
This network shows the impact of papers produced by Katja Markert. 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 Katja Markert. The network helps show where Katja Markert may publish in the future.
Co-authorship network of co-authors of Katja Markert
This figure shows the co-authorship network connecting the top 25 collaborators of Katja Markert.
A scholar is included among the top collaborators of Katja Markert 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 Katja Markert. Katja Markert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Berg, Esther van den, et al.. (2020). Doctor Who? Framing Through Names and Titles in German.. Language Resources and Evaluation. 4924–4932.1 indexed citations
4.
Markert, Katja, et al.. (2020). Dataset Reproducibility and IR Methods in Timeline Summarization. Language Resources and Evaluation. 1763–1771.3 indexed citations
5.
Ruppenhofer, Josef, et al.. (2018). Distinguishing affixoid formations from compounds. Publication Server of the Institute for German Language (Institute for German Language). 3853–3865.1 indexed citations
Sharoff, Serge, et al.. (2014). Designing and Evaluating a Reliable Corpus of Web Genres via Crowd-Sourcing. Language Resources and Evaluation. 1339–1346.7 indexed citations
Webber, Bonnie, Andréi Popescu-Belis, Katja Markert, & Jörg Tiedemann. (2013). Proceedings of the Workshop on Discourse in Machine Translation. Meeting of the Association for Computational Linguistics.9 indexed citations
10.
Hou, Yufang, Katja Markert, & Michael Strube. (2013). Global Inference for Bridging Anaphora Resolution. North American Chapter of the Association for Computational Linguistics. 907–917.29 indexed citations
11.
Markert, Katja, et al.. (2011). Modelling Discourse Relations for Arabic. Empirical Methods in Natural Language Processing. 736–747.19 indexed citations
12.
McKinlay, Andrew & Katja Markert. (2011). Modelling Entity Instantiations. UPT. Syiah Kuala University Library (Syiah Kuala University). 268–274.6 indexed citations
13.
Markert, Katja, et al.. (2010). Word Sense Subjectivity for Cross-lingual Lexical Substitution. North American Chapter of the Association for Computational Linguistics. 357–360.7 indexed citations
14.
Wu, Zhili, Katja Markert, & Serge Sharoff. (2010). Fine-Grained Genre Classification Using Structural Learning Algorithms. Meeting of the Association for Computational Linguistics. 749–759.9 indexed citations
15.
Markert, Katja, et al.. (2010). The Leeds Arabic Discourse Treebank: Annotating Discourse Connectives for Arabic. Language Resources and Evaluation.43 indexed citations
16.
Bos, Johan & Katja Markert. (2006). Recognising textual entailment with robust logical inference.2 indexed citations
17.
Markert, Katja, et al.. (2003). Using the Web for Nominal Anaphora Resolution. Conference of the European Chapter of the Association for Computational Linguistics.47 indexed citations
18.
Markert, Katja & Malvina Nissim. (2002). Towards a Corpus Annotated for Metonymies: the Case of Location Names.. Language Resources and Evaluation.23 indexed citations
Markert, Katja & Udo Hahn. (1997). On the interaction of metonymies and anaphora. International Joint Conference on Artificial Intelligence. 1010–1015.15 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.