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.
SemEval-2014 Task 4: Aspect Based Sentiment Analysis
20141.2k citationsMaria Pontiki, Dimitrios Galanis et al.profile →
SemEval-2016 Task 5: Aspect Based Sentiment Analysis
2016799 citationsMaria Pontiki, Dimitrios Galanis et al.profile →
SemEval-2015 Task 12: Aspect Based Sentiment Analysis
2015744 citationsMaria Pontiki, Dimitrios Galanis et al.profile →
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
202262 citationsIlias Chalkidis, Abhik Jana et al.Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Ion Androutsopoulos
Since
Specialization
Citations
This map shows the geographic impact of Ion Androutsopoulos'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 Ion Androutsopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ion Androutsopoulos more than expected).
Fields of papers citing papers by Ion Androutsopoulos
This network shows the impact of papers produced by Ion Androutsopoulos. 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 Ion Androutsopoulos. The network helps show where Ion Androutsopoulos may publish in the future.
Co-authorship network of co-authors of Ion Androutsopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Ion Androutsopoulos.
A scholar is included among the top collaborators of Ion Androutsopoulos 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 Ion Androutsopoulos. Ion Androutsopoulos is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chalkidis, Ilias, Abhik Jana, Dirk Hartung, et al.. (2022). LexGLUE: A Benchmark Dataset for Legal Language Understanding in English. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4310–4330.62 indexed citations breakdown →
Pontiki, Maria, Dimitrios Galanis, John Pavlopoulos, et al.. (2014). SemEval-2014 Task 4: Aspect Based Sentiment Analysis. 27–35.1173 indexed citations breakdown →
14.
Λάμπουρας, Γεράσιμος & Ion Androutsopoulos. (2013). Using Integer Linear Programming in Concept-to-Text Generation to Produce More Compact Texts. Meeting of the Association for Computational Linguistics. 561–566.7 indexed citations
15.
Galanis, Dimitrios & Ion Androutsopoulos. (2010). An extractive supervised two-stage method for sentence compression. North American Chapter of the Association for Computational Linguistics. 885–893.31 indexed citations
16.
Oberlander, Jon, et al.. (2008). Proceedings for Museums and the Web 2008. Archives and Museum Informatics.43 indexed citations
17.
Tsatsaronis, George, Michalis Vazirgiannis, & Ion Androutsopoulos. (2007). Word sense disambiguation with spreading activation networks generated from thesauri. International Joint Conference on Artificial Intelligence. 1725–1730.49 indexed citations
18.
Androutsopoulos, Ion, et al.. (2005). Exploiting OWL Ontologies in the Multilingual Generation of Object Descriptions.12 indexed citations
19.
Androutsopoulos, Ion, et al.. (2005). A Game Theoretic Model of Spam E-Mailing.18 indexed citations
20.
Michelakis, Eirinaios, et al.. (2004). Filtron: A Learning-Based Anti-Spam Filter.34 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.