Countries citing papers authored by Detmar Meurers
Since
Specialization
Citations
This map shows the geographic impact of Detmar Meurers'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 Detmar Meurers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Detmar Meurers more than expected).
This network shows the impact of papers produced by Detmar Meurers. 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 Detmar Meurers. The network helps show where Detmar Meurers may publish in the future.
Co-authorship network of co-authors of Detmar Meurers
This figure shows the co-authorship network connecting the top 25 collaborators of Detmar Meurers.
A scholar is included among the top collaborators of Detmar Meurers 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 Detmar Meurers. Detmar Meurers is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Meurers, Detmar, et al.. (2021). Broad Linguistic Complexity Analysis for Greek Readability Classification.. 48–58.5 indexed citations
7.
Meurers, Detmar, et al.. (2018). Modeling the Readability of German Targeting Adults and Children: An empirically broad analysis and its cross-corpus validation. International Conference on Computational Linguistics. 303–317.9 indexed citations
Kuthy, Kordula De, Ramon Ziai, & Detmar Meurers. (2016). Focus Annotation of Task-based Data: A Comparison of Expert and Crowd-Sourced Annotation in a Reading Comprehension Corpus. Language Resources and Evaluation. 3928–3935.3 indexed citations
10.
Boyd, Adriane, et al.. (2014). The MERLIN corpus: Learner language and the CEFR. Language Resources and Evaluation. 1281–1288.39 indexed citations
11.
Meurers, Detmar, et al.. (2014). Exploring Syntactic Features for Native Language Identification: A Variationist Perspective on Feature Encoding and Ensemble Optimization. International Conference on Computational Linguistics. 1962–1973.20 indexed citations
12.
Ziai, Ramon, et al.. (2013). CoMeT: Integrating different levels of linguistic modeling for meaning assessment. Joint Conference on Lexical and Computational Semantics. 608–616.17 indexed citations
13.
Vajjala, Sowmya, et al.. (2013). Combining Shallow and Linguistically Motivated Features in Native Language Identification. 197–206.12 indexed citations
Gerdemann, Dale, et al.. (2011). Automatic Sentiment Classification of Product Reviews Using Maximal Phrases Based Analysis. Meeting of the Association for Computational Linguistics. 111–117.2 indexed citations
16.
Meurers, Detmar, et al.. (2010). Enhancing Authentic Web Pages for Language Learners. 10–18.46 indexed citations
17.
Meurers, Detmar, et al.. (2010). Exploring the Data-Driven Prediction of Prepositions in English. International Conference on Computational Linguistics. 267–275.13 indexed citations
18.
Dickinson, Markus & Detmar Meurers. (2003). Detecting Inconsistencies in Treebanks.35 indexed citations
19.
Kuthy, Kordula De & Detmar Meurers. (2000). From Argument Raising to Dependent Raising.1 indexed citations
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.