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.Repositori digital de la UPF (Universitat Pompeu Fabra)profile →
SemEval-2015 Task 12: Aspect Based Sentiment Analysis
2015744 citationsMaria Pontiki, Dimitrios Galanis et al.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 Dimitrios Galanis
Since
Specialization
Citations
This map shows the geographic impact of Dimitrios Galanis'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 Dimitrios Galanis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitrios Galanis more than expected).
Fields of papers citing papers by Dimitrios Galanis
This network shows the impact of papers produced by Dimitrios Galanis. 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 Dimitrios Galanis. The network helps show where Dimitrios Galanis may publish in the future.
Co-authorship network of co-authors of Dimitrios Galanis
This figure shows the co-authorship network connecting the top 25 collaborators of Dimitrios Galanis.
A scholar is included among the top collaborators of Dimitrios Galanis 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 Dimitrios Galanis. Dimitrios Galanis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Galanis, Dimitrios, et al.. (2018). OpenMinTeD: A Platform Facilitating Text Mining of Scholarly Content. Open Research Online (The Open University).5 indexed citations
4.
Pontiki, Maria, Dimitrios Galanis, Haris Papageorgiou, et al.. (2016). SemEval-2016 Task 5: Aspect Based Sentiment Analysis. Repositori digital de la UPF (Universitat Pompeu Fabra). 19–30.799 indexed citations breakdown →
5.
Malakasiotis, Prodromos, et al.. (2015). Biomedical Question-focused Multi-document Summarization: ILSP and AUEB at BioASQ3.. CLEF (Working Notes).5 indexed citations
6.
Pontiki, Maria, Dimitrios Galanis, Haris Papageorgiou, Suresh Manandhar, & Ion Androutsopoulos. (2015). SemEval-2015 Task 12: Aspect Based Sentiment Analysis. 486–495.744 indexed citations breakdown →
Galanis, Dimitrios, Γεράσιμος Λάμπουρας, & Ion Androutsopoulos. (2012). Extractive Multi-Document Summarization with Integer Linear Programming and Support Vector Regression. International Conference on Computational Linguistics. 911–926.42 indexed citations
12.
Galanis, Dimitrios & Ion Androutsopoulos. (2011). A New Sentence Compression Dataset and Its Use in an Abstractive Generate-and-Rank Sentence Compressor. 1–11.3 indexed citations
13.
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
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.