Countries citing papers authored by Horacio Saggion
Since
Specialization
Citations
This map shows the geographic impact of Horacio Saggion'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 Horacio Saggion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Horacio Saggion more than expected).
This network shows the impact of papers produced by Horacio Saggion. 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 Horacio Saggion. The network helps show where Horacio Saggion may publish in the future.
Co-authorship network of co-authors of Horacio Saggion
This figure shows the co-authorship network connecting the top 25 collaborators of Horacio Saggion.
A scholar is included among the top collaborators of Horacio Saggion 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 Horacio Saggion. Horacio Saggion is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Barbieri, Francesco, Miguel Ballesteros, & Horacio Saggion. (2017). Are Emojis Predictable?. 105–111.89 indexed citations
9.
Barbieri, Francesco, Francesco Ronzano, & Horacio Saggion. (2016). What does this emoji mean? A vector space skip-gram model for twitter emojis. Language Resources and Evaluation. 3967–3972.76 indexed citations
10.
Saggion, Horacio & Francesco Ronzano. (2016). Natural Language Processing for Intelligent Access to Scientific Information. International Conference on Computational Linguistics. 9–13.2 indexed citations
11.
Ferrés, Daniel, Montserrat Marimon, & Horacio Saggion. (2015). A Web-based Text Simplification System for English. Procesamiento del lenguaje natural. 55(55). 191–194.4 indexed citations
Espinosa-Anke, Luis & Horacio Saggion. (2014). Descripción y evaluación de un sistema de extracción de definiciones para el catalán. Procesamiento del lenguaje natural. 53(53). 69–76.1 indexed citations
14.
Barbieri, Francesco & Horacio Saggion. (2014). Modelling Irony in Twitter: Feature Analysis and Evaluation. Language Resources and Evaluation. 4258–4264.18 indexed citations
15.
Štajner, Sanja, et al.. (2013). Eliminación de frases y decisiones de división basadas en corpus para simplificación de textos en español. Computación y Sistemas. 17(2). 251–262.2 indexed citations
16.
Bott, Stefan & Horacio Saggion. (2011). Spanish Text Simplification: An Exploratory Study. Procesamiento del lenguaje natural. 47(47). 87–95.15 indexed citations
17.
Saggion, Horacio, et al.. (2010). Multilingual Summarization Evaluation without Human Models. International Conference on Computational Linguistics. 1059–1067.44 indexed citations
18.
Lloret, Elena, Horacio Saggion, & Manuel Palomar. (2010). Experiments on Summary-based Opinion Classification. North American Chapter of the Association for Computational Linguistics. 107–115.12 indexed citations
19.
Saggion, Horacio. (2004). Identifying Definitions in Text Collections for Question Answering.. Language Resources and Evaluation.27 indexed citations
20.
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
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.