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.
Countries citing papers authored by Luisa Bentivogli
Since
Specialization
Citations
This map shows the geographic impact of Luisa Bentivogli'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 Luisa Bentivogli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Bentivogli more than expected).
Fields of papers citing papers by Luisa Bentivogli
This network shows the impact of papers produced by Luisa Bentivogli. 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 Luisa Bentivogli. The network helps show where Luisa Bentivogli may publish in the future.
Co-authorship network of co-authors of Luisa Bentivogli
This figure shows the co-authorship network connecting the top 25 collaborators of Luisa Bentivogli.
A scholar is included among the top collaborators of Luisa Bentivogli 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 Luisa Bentivogli. Luisa Bentivogli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bentivogli, Luisa, et al.. (2019). MAGMATic: A Multi-domain Academic Gold Standard with Manual Annotation of Terminology for Machine Translation Evaluation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1. 78–86.1 indexed citations
Girardi, Christian, Luisa Bentivogli, M. Amin Farajian, & Marcello Federico. (2014). MT-EQuAl: a Toolkit for Human Assessment of Machine Translation Output. International Conference on Computational Linguistics. 120–123.9 indexed citations
Negri, Matteo, Yashar Mehdad, A. Marchetti, Danilo Giampiccolo, & Luisa Bentivogli. (2012). Chinese Whispers: Cooperative Paraphrase Acquisition. Language Resources and Evaluation. 2659–2665.8 indexed citations
13.
Negri, Matteo, A. Marchetti, Yashar Mehdad, Luisa Bentivogli, & Danilo Giampiccolo. (2012). Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization. Joint Conference on Lexical and Computational Semantics. 2. 25–33.17 indexed citations
14.
Negri, Matteo, A. Marchetti, Yashar Mehdad, Luisa Bentivogli, & Danilo Giampiccolo. (2012). Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization. Joint Conference on Lexical and Computational Semantics. 47(1230). 399–407.42 indexed citations
15.
Bentivogli, Luisa, Pamela Forner, Claudio Giuliano, et al.. (2010). Extending English ACE 2005 Corpus Annotation with Ground-truth Links to Wikipedia. International Conference on Computational Linguistics. 19–27.20 indexed citations
16.
Bentivogli, Luisa, Peter E. Clark, Ido Dagan, & Danilo Giampiccolo. (2008). The Seventh PASCAL Recognizing Textual Entailment Challenge.. Theory and applications of categories.289 indexed citations
17.
Bentivogli, Luisa, et al.. (2003). The MEANING Italian Corpus.7 indexed citations
18.
Bentivogli, Luisa & Emanuele Pianta. (2002). Opportunistic Semantic Tagging.. Language Resources and Evaluation.4 indexed citations
19.
Bentivogli, Luisa, et al.. (2002). Detecting Hidden Multiwords in Bilingual Dictionaries. Dialnet (Universidad de la Rioja). 785–793.4 indexed citations
20.
Bentivogli, Luisa, Emanuele Pianta, & Fabio Pianesi. (2000). Coping with Lexical Gaps when Building Aligned Multilingual Wordnets. Language Resources and Evaluation.12 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.