Christian M. Meyer

1.6k total citations · 1 hit paper
35 papers, 655 citations indexed

About

Christian M. Meyer is a scholar working on Artificial Intelligence, Language and Linguistics and Information Systems. According to data from OpenAlex, Christian M. Meyer has authored 35 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 4 papers in Language and Linguistics and 3 papers in Information Systems. Recurrent topics in Christian M. Meyer's work include Topic Modeling (26 papers), Natural Language Processing Techniques (24 papers) and Advanced Text Analysis Techniques (12 papers). Christian M. Meyer is often cited by papers focused on Topic Modeling (26 papers), Natural Language Processing Techniques (24 papers) and Advanced Text Analysis Techniques (12 papers). Christian M. Meyer collaborates with scholars based in Germany, United States and United Kingdom. Christian M. Meyer's co-authors include Iryna Gurevych, Yang Gao, Maxime Peyrard, Wei Zhao, Steffen Eger, Fei Liu, Judith Eckle‐Kohler, Silvana Hartmann, Christian Wirth and Ido Dagan and has published in prestigious journals such as Gastroenterology, Proceedings of the VLDB Endowment and Language Resources and Evaluation.

In The Last Decade

Christian M. Meyer

31 papers receiving 591 citations

Hit Papers

MoverScore: Text Generati... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
    2019 274 citations Maxime Peyrard, Yang Gao et al. TUbilio (Technical University of Darmstadt) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christian M. Meyer Germany 12 606 70 70 48 33 35 655
Antske Fokkens Netherlands 10 445 0.7× 77 1.1× 34 0.5× 43 0.9× 36 1.1× 63 492
Mark Sammons United States 13 583 1.0× 57 0.8× 53 0.8× 34 0.7× 14 0.4× 33 631
Vered Shwartz United States 15 694 1.1× 40 0.6× 141 2.0× 52 1.1× 11 0.3× 43 738
Petya Osenova Bulgaria 11 414 0.7× 56 0.8× 24 0.3× 30 0.6× 71 2.2× 71 479
Ann Irvine United States 14 406 0.7× 32 0.5× 72 1.0× 42 0.9× 26 0.8× 23 454
Luís Marujo Portugal 10 502 0.8× 62 0.9× 77 1.1× 27 0.6× 11 0.3× 15 536
Jeffrey Flanigan United States 8 578 1.0× 48 0.7× 81 1.2× 40 0.8× 6 0.2× 16 624
Maxime Peyrard Germany 12 557 0.9× 57 0.8× 88 1.3× 32 0.7× 8 0.2× 27 597
Ruty Rinott Israel 7 698 1.2× 119 1.7× 151 2.2× 76 1.6× 12 0.4× 13 792

Countries citing papers authored by Christian M. Meyer

Since Specialization
Citations

This map shows the geographic impact of Christian M. Meyer'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 Christian M. Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian M. Meyer more than expected).

Fields of papers citing papers by Christian M. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian M. Meyer. 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 Christian M. Meyer. The network helps show where Christian M. Meyer may publish in the future.

Co-authorship network of co-authors of Christian M. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Christian M. Meyer. A scholar is included among the top collaborators of Christian M. Meyer 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 Christian M. Meyer. Christian M. Meyer 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
1.
Meyer, Christian M., et al.. (2020). Summarization Beyond News: The Automatically Acquired Fandom Corpora. Language Resources and Evaluation. 6700–6708. 1 indexed citations
2.
Gao, Yang, et al.. (2019). Better Rewards Yield Better Summaries: Learning to Summarise Without References. 3108–3118. 42 indexed citations
3.
Gao, Yang, Christian M. Meyer, Mohsen Mesgar, & Iryna Gurevych. (2019). Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. 2350–2356. 9 indexed citations
4.
Meyer, Christian M., et al.. (2019). Data-efficient Neural Text Compression with Interactive Learning. 2543–2554. 3 indexed citations
5.
Arnold, Thomas, et al.. (2018). Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous Data. Language Resources and Evaluation. 3 indexed citations
6.
Peyrard, Maxime, et al.. (2018). Live Blog Corpus for Summarization. arXiv (Cornell University). 3 indexed citations
7.
Gao, Yang, Christian M. Meyer, & Iryna Gurevych. (2018). APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning. 18 indexed citations
8.
Binnig, Carsten, et al.. (2018). Sherlock. Proceedings of the VLDB Endowment. 11(12). 1902–1905. 6 indexed citations
9.
Falke, Tobias, Christian M. Meyer, & Iryna Gurevych. (2017). Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization. TUbilio (Technical University of Darmstadt). 1. 801–811. 17 indexed citations
10.
Meyer, Christian M., et al.. (2017). Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback. TUbilio (Technical University of Darmstadt). 1353–1363. 22 indexed citations
11.
Remus, Steffen, et al.. (2016). EmpiriST: AIPHES - Robust Tokenization and POS-Tagging for Different Genres. 106–114. 4 indexed citations
12.
Meyer, Christian M., et al.. (2016). Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sources. TUbilio (Technical University of Darmstadt). 1039–1050. 11 indexed citations
13.
Meyer, Christian M., et al.. (2016). Lexikographische Prozesse bei Internetwörterbüchern. TUbilio (Technical University of Darmstadt). 29–38. 1 indexed citations
14.
Wolfer, Sascha, et al.. (2016). The Effectiveness of Lexicographic Tools for Optimising Written L1-Texts. International Journal of Lexicography. 31(1). 1–28. 10 indexed citations
15.
Meyer, Christian M., et al.. (2014). DKPro Agreement: An Open-Source Java Library for Measuring Inter-Rater Agreement. TUbilio (Technical University of Darmstadt). 105–109. 25 indexed citations
16.
Meyer, Christian M. & Iryna Gurevych. (2014). Methoden bei kollaborativen Wörterbüchern [Methods in collaborative dictionaries / Méthodes dans le domaine des dictionnaires collaboratifs]. Lexicographica - International Annual for Lexicography / Internationales Jahrbuch für Lexikographie. 30(2014). 187–212. 1 indexed citations
17.
Eckle‐Kohler, Judith, et al.. (2012). UBY-LMF -- A Uniform Model for Standardizing Heterogeneous Lexical-Semantic Resources in ISO-LMF. Language Resources and Evaluation. 275–282. 11 indexed citations
18.
Meyer, Christian M. & Iryna Gurevych. (2012). To Exhibit is not to Loiter: A Multilingual, Sense-Disambiguated Wiktionary for Measuring Verb Similarity. TUbilio (Technical University of Darmstadt). 1763–1780. 11 indexed citations
19.
Gurevych, Iryna, et al.. (2012). UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF. TUbilio (Technical University of Darmstadt). 580–590. 67 indexed citations
20.
Meyer, Christian M. & Iryna Gurevych. (2011). What Psycholinguists Know About Chemistry: Aligning Wiktionary and WordNet for Increased Domain Coverage. TUbilio (Technical University of Darmstadt). 883–892. 31 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.

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