This map shows the geographic impact of Maud Ehrmann'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 Maud Ehrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maud Ehrmann more than expected).
This network shows the impact of papers produced by Maud Ehrmann. 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 Maud Ehrmann. The network helps show where Maud Ehrmann may publish in the future.
Co-authorship network of co-authors of Maud Ehrmann
This figure shows the co-authorship network connecting the top 25 collaborators of Maud Ehrmann.
A scholar is included among the top collaborators of Maud Ehrmann 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 Maud Ehrmann. Maud Ehrmann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jacquet, Guillaume, et al.. (2016). Cross-lingual Linking of Multi-word Entities and their corresponding Acronyms. Language Resources and Evaluation. 528–535.1 indexed citations
9.
Ehrmann, Maud, et al.. (2016). Diachronic Evaluation of NER Systems on Old Newspapers. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 97–107.14 indexed citations
10.
Jacquet, Guillaume, et al.. (2016). European Media Monitor. Joint Research Centre (European Commission).1 indexed citations
11.
Ehrmann, Maud, et al.. (2016). Navigating through 200 years of historical newspapers. Infoscience (Ecole Polytechnique Fédérale de Lausanne).1 indexed citations
12.
Colavizza, Giovanni, et al.. (2016). A Method for Record Linkage with Sparse Historical Data. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 463–466.1 indexed citations
13.
Ehrmann, Maud, et al.. (2016). From Documents to Structured Data: First Milestones of the Garzoni Project. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2016(2).
14.
Jacquet, Guillaume, Maud Ehrmann, & Ralf Steinberger. (2014). Clustering of Multi-Word Named Entity variants: Multilingual Evaluation. Language Resources and Evaluation. 2548–2553.2 indexed citations
15.
Ehrmann, Maud, Francesco Cecconi, Daniele Vannella, et al.. (2014). Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0. Language Resources and Evaluation. 401–408.42 indexed citations
16.
Steinberger, Ralf, et al.. (2014). Media monitoring and information extraction for the highly inflected agglutinative language Hungarian. Language Resources and Evaluation. 2049–2056.2 indexed citations
17.
Piskorski, Jakub & Maud Ehrmann. (2013). On Named Entity Recognition in Targeted Twitter Streams in Polish.. Meeting of the Association for Computational Linguistics. 84–93.8 indexed citations
Ehrmann, Maud, Marco Turchi, & Ralf Steinberger. (2011). Building a Multilingual Named Entity-Annotated Corpus Using Annotation Projection. Recent Advances in Natural Language Processing. 118–124.34 indexed citations
20.
Steinberger, Josef, et al.. (2011). Highly Multilingual Coreference Resolution Exploiting a Mature Entity Repository. Recent Advances in Natural Language Processing. 254–260.4 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.