This map shows the geographic impact of Luis Chiruzzo'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 Luis Chiruzzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Chiruzzo more than expected).
This network shows the impact of papers produced by Luis Chiruzzo. 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 Luis Chiruzzo. The network helps show where Luis Chiruzzo may publish in the future.
Co-authorship network of co-authors of Luis Chiruzzo
This figure shows the co-authorship network connecting the top 25 collaborators of Luis Chiruzzo.
A scholar is included among the top collaborators of Luis Chiruzzo 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 Luis Chiruzzo. Luis Chiruzzo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Alemany, Laura Alonso, et al.. (2020). Overview of FACT at IberLEF 2020: Events Detection and Classification.. 197–205.1 indexed citations
11.
Chiruzzo, Luis, et al.. (2020). HAHA 2019 Dataset: A Corpus for Humor Analysis in Spanish. Language Resources and Evaluation. 5106–5112.4 indexed citations
12.
Saggion, Horacio, et al.. (2020). A Multi-level Annotated Corpus of Scientific Papers for Scientific Document Summarization and Cross-document Relation Discovery. Language Resources and Evaluation. 6672–6679.2 indexed citations
13.
Chiruzzo, Luis, et al.. (2019). RETUYT-InCo at TASS 2019: Sentiment Analysis in Spanish Tweets.. 605–610.1 indexed citations
14.
Díaz–Galiano, Manuel Carlos, Luis Chiruzzo, Miguel Ángel García Cumbreras, et al.. (2019). Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis Corpus.. 550–560.12 indexed citations
15.
Chiruzzo, Luis, et al.. (2019). Overview of HAHA at IberLEF 2019: Humor Analysis based on Human Annotation.. 132–144.27 indexed citations
16.
Chiruzzo, Luis, et al.. (2019). LaSTUS-TALN+INCO @ CL-SciSumm 2019.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 224–232.3 indexed citations
17.
Masalles, Irene Castellón, et al.. (2019). Overview of FACT at IberLEF 2019: Factuality Analysis and Classification Task.. 105–110.1 indexed citations
18.
Chiruzzo, Luis, et al.. (2018). Spanish HPSG Treebank based on the AnCora Corpus. Language Resources and Evaluation.2 indexed citations
19.
Bravo, Álex, et al.. (2018). LaSTUS/TALN+INCO @ CL-SciSumm 2018 - Using regression and convolutions for cross-document semantic linking and summarization of scholarly literature. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 150–163.8 indexed citations
20.
Chiruzzo, Luis, et al.. (2017). LaSTUS/TALN @ CLSciSumm-17: cross-document sentence matching and scientific text summarization systems. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 55–66.10 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.