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.
Citations per year, relative to Thierry Declerck Thierry Declerck (= 1×)
peers
Stephen Pulman
Countries citing papers authored by Thierry Declerck
Since
Specialization
Citations
This map shows the geographic impact of Thierry Declerck'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 Thierry Declerck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thierry Declerck more than expected).
Fields of papers citing papers by Thierry Declerck
This network shows the impact of papers produced by Thierry Declerck. 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 Thierry Declerck. The network helps show where Thierry Declerck may publish in the future.
Co-authorship network of co-authors of Thierry Declerck
This figure shows the co-authorship network connecting the top 25 collaborators of Thierry Declerck.
A scholar is included among the top collaborators of Thierry Declerck 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 Thierry Declerck. Thierry Declerck 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.
Declerck, Thierry, et al.. (2022). Interoperable language resources. Publication Server of the Institute for German Language (Institute for German Language).
2.
Libbrecht, Paul, et al.. (2020). NLP for Student and Teacher: Concept for an AI based Information Literacy Tutoring System..3 indexed citations
3.
Genabith, Josef van, et al.. (2020). Language Data Sharing in European Public Services – Overcoming Obstacles and Creating Sustainable Data Sharing Infrastructures. Language Resources and Evaluation. 3443–3448.
4.
Gromann, Dagmar & Thierry Declerck. (2018). Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task. Language Resources and Evaluation.7 indexed citations
5.
Augenstein, Isabelle, et al.. (2016). Monolingual Social Media Datasets for Detecting Contradiction and Entailment. Language Resources and Evaluation. 4602–4605.7 indexed citations
6.
Segura-Bédmar, Isabel, et al.. (2014). TrendMiner: Large-scale Cross-lingual Trend Mining Summarization of Real-time Media Streams. Procesamiento del lenguaje natural. 53(53). 163–166.1 indexed citations
7.
Declerck, Thierry & Hans‐Ulrich Krieger. (2014). Harmonization of German Lexical Resources for Opinion Mining. Language Resources and Evaluation. 3872–3876.1 indexed citations
8.
Declerck, Thierry, et al.. (2014). From tale to speech: ontology-based emotion and dialogue annotation of fairy tales with a TTS output. International Semantic Web Conference. 153–156.2 indexed citations
9.
Krieger, Hans‐Ulrich & Thierry Declerck. (2014). TMO ― The Federated Ontology of the TrendMiner Project. Language Resources and Evaluation. 4164–4171.3 indexed citations
Declerck, Thierry. (2013). Integration of the Thesaurus for the Social Sciences (TheSoz) in an Information Extraction System. 90–95.1 indexed citations
12.
Declerck, Thierry, et al.. (2012). Accessing and standardizing Wiktionary lexical entries for the translation of labels in Cultural Heritage taxonomies. Language Resources and Evaluation. 2511–2514.2 indexed citations
13.
Declerck, Thierry, et al.. (2010). Propp Revisited: Integration of Linguistic Markup into Structured Content Descriptors of Tales. Borås Academic Digital Archive (University of Borås). 327–330.1 indexed citations
14.
Declerck, Thierry, et al.. (2008). Towards Cross-Media Feature Extraction.. National Conference on Artificial Intelligence. 41–45.
15.
Declerck, Thierry, et al.. (2006). Multilingual Lexical Semantic Resources for Ontology Translation.. Language Resources and Evaluation. 1492–1495.12 indexed citations
16.
Declerck, Thierry. (2006). SynAF: Towards a Standard for Syntactic Annotation.. Language Resources and Evaluation. 229–232.19 indexed citations
17.
Declerck, Thierry & Mihaela Vela. (2006). Generic NLP Tools for Supporting Shallow Ontology Building. Language Resources and Evaluation. 2353–2356.2 indexed citations
18.
Buitelaar, Paul, et al.. (2004). Towards Ontology Engineering Based on Linguistic Analysis. Language Resources and Evaluation.7 indexed citations
19.
Reidsma, Dennis, Jan Kuper, Thierry Declerck, Horacio Saggion, & Hamish Cunningham. (2003). Cross document ontology based information for multimedia retrieval. University of Twente Research Information. 73–86.1 indexed citations
20.
Declerck, Thierry, et al.. (2000). The New Edition of the Natural Language Software Registry (an Initiative of ACL hosted at DFKI).. Language Resources and Evaluation.5 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.