This map shows the geographic impact of Katrin Erk'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 Katrin Erk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrin Erk more than expected).
This network shows the impact of papers produced by Katrin Erk. 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 Katrin Erk. The network helps show where Katrin Erk may publish in the future.
Co-authorship network of co-authors of Katrin Erk
This figure shows the co-authorship network connecting the top 25 collaborators of Katrin Erk.
A scholar is included among the top collaborators of Katrin Erk 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 Katrin Erk. Katrin Erk is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Boleda, Gemma & Katrin Erk. (2015). Distributional Semantic Features as Semantic Primitives - Or Not.. National Conference on Artificial Intelligence.5 indexed citations
6.
Roller, Stephen, Katrin Erk, & Gemma Boleda. (2014). Inclusive yet Selective: Supervised Distributional Hypernymy Detection. International Conference on Computational Linguistics. 1025–1036.85 indexed citations
Boleda, Gemma, et al.. (2013). Montague Meets Markov: Deep Semantics with Probabilistic Logical Form. Joint Conference on Lexical and Computational Semantics. 1. 11–21.41 indexed citations
9.
Lin, Jimmy & Katrin Erk. (2013). NAACL HLT 2013 Tutorial Abstracts. North American Chapter of the Association for Computational Linguistics.3 indexed citations
10.
Baldridge, Jason, et al.. (2011). Simple Unsupervised Grammar Induction from Raw Text with Cascaded Finite State Models. Meeting of the Association for Computational Linguistics. 1077–1086.36 indexed citations
11.
Erk, Katrin & Sebastian Padó. (2010). Exemplar-Based Models for Word Meaning in Context. Meeting of the Association for Computational Linguistics. 92–97.58 indexed citations
12.
Erk, Katrin, et al.. (2010). Crouching Dirichlet, Hidden Markov Model: Unsupervised POS Tagging with Context Local Tag Generation. Empirical Methods in Natural Language Processing. 196–206.12 indexed citations
Padó, Sebastian, Ulrike Padó, & Katrin Erk. (2007). Flexible, Corpus-Based Modelling of Human Plausibility Judgements. Empirical Methods in Natural Language Processing. 400–409.20 indexed citations
15.
Erk, Katrin. (2007). A Simple, Similarity-based Model for Selectional Preferences. Meeting of the Association for Computational Linguistics. 216–223.92 indexed citations
16.
Burchardt, Aljoscha, et al.. (2006). SALTO - A Versatile Multi-Level Annotation Tool. Language Resources and Evaluation. 517–520.46 indexed citations
17.
Erk, Katrin & Sebastian Padó. (2006). Shalmaneser - A Toolchain For Shallow Semantic Parsing. Language Resources and Evaluation. 527–532.33 indexed citations
Erk, Katrin & Sebastian Padó. (2004). A Powerful and Versatile XML Format for Representing Role-semantic Annotation. Language Resources and Evaluation.31 indexed citations
20.
Heid, Ulrich, et al.. (2004). Querying Both Time-aligned and Hierarchical Corpora with NXT Search. Language Resources and Evaluation.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.