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.
This map shows the geographic impact of Germán Rigau'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 Germán Rigau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Rigau more than expected).
This network shows the impact of papers produced by Germán Rigau. 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 Germán Rigau. The network helps show where Germán Rigau may publish in the future.
Co-authorship network of co-authors of Germán Rigau
This figure shows the co-authorship network connecting the top 25 collaborators of Germán Rigau.
A scholar is included among the top collaborators of Germán Rigau 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 Germán Rigau. Germán Rigau is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Agerri, Rodrigo, et al.. (2020). Multilingual Stance Detection in Tweets: The Catalonia Independence Corpus. Language Resources and Evaluation. 1368–1375.17 indexed citations
4.
Agerri, Rodrigo & Germán Rigau. (2020). Projecting Heterogeneous Annotations for Named Entity Recognition.. 45–51.1 indexed citations
Agirre, Eneko, Carmen Banea, Daniel Cer, et al.. (2016). SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation. 497–511.296 indexed citations breakdown →
7.
Laparra, Egoitz, et al.. (2016). A Multilingual Predicate Matrix. Language Resources and Evaluation. 2662–2668.8 indexed citations
8.
Cuadros, Montse, et al.. (2015). Unsupervised Word Polarity Tagging by Exploiting Continuous Word Representations. Procesamiento del lenguaje natural. 55(55). 127–134.6 indexed citations
9.
Laparra, Egoitz, et al.. (2014). Predicate Matrix: extending SemLink through WordNet mappings. Language Resources and Evaluation. 903–909.34 indexed citations
Agerri, Rodrigo, et al.. (2013). OpeNER: Open Polarity Enhanced Named Entity Recognition. Procesamiento del lenguaje natural. 51(51). 215–218.27 indexed citations
12.
González-Agirre, Aitor, et al.. (2012). A proposal for improving WordNet Domains. Language Resources and Evaluation. 3457–3462.
13.
Laparra, Egoitz, Germán Rigau, & Piek Vossen. (2012). Mapping WordNet to the Kyoto ontology. Language Resources and Evaluation. 2584–2589.1 indexed citations
14.
Izquierdo, Rubén, et al.. (2010). GPLSI-IXA: Using Semantic Classes to Acquire Monosemous Training Examples from Domain Texts. Meeting of the Association for Computational Linguistics. 402–406.2 indexed citations
15.
Atserias, Jordi, et al.. (2008). Complete and Consistent Annotation of WordNet using the Top Concept Ontology. Language Resources and Evaluation.24 indexed citations
16.
Cuadros, Montse & Germán Rigau. (2008). Multilingual Evaluation of KnowNet. Procesamiento del lenguaje natural. 41(41). 121–128.1 indexed citations
17.
Cuadros, Montse & Germán Rigau. (2008). Bases de conocimiento multilíngües para el procesamiento semántico a gran escala. Procesamiento del lenguaje natural. 40(40). 35–42.1 indexed citations
18.
Atserias, Jordi, et al.. (2005). A Proposal for a Shallow Ontologization of Wordnet.. Procesamiento del lenguaje natural. 35(35). 161–167.3 indexed citations
19.
Escudero, Gerard, Lluı́s Màrquez, & Germán Rigau. (2004). TALP system for the English lexical sample task. Meeting of the Association for Computational Linguistics. 113–116.9 indexed citations
20.
Atserias, Jordi, Bernardo Magnini, Octavian Popescu, et al.. (2004). Cross-language acquisition of semantic models for verbal predicates. Language Resources and Evaluation.2 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.