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.
The DisGeNET knowledge platform for disease genomics: 2019 update
20191.8k citationsJanet Piñero, Juan Manuel Ramírez‐Anguita et al.Nucleic Acids Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Francesco Ronzano
Since
Specialization
Citations
This map shows the geographic impact of Francesco Ronzano'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 Francesco Ronzano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Ronzano more than expected).
Fields of papers citing papers by Francesco Ronzano
This network shows the impact of papers produced by Francesco Ronzano. 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 Francesco Ronzano. The network helps show where Francesco Ronzano may publish in the future.
Co-authorship network of co-authors of Francesco Ronzano
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Ronzano.
A scholar is included among the top collaborators of Francesco Ronzano 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 Francesco Ronzano. Francesco Ronzano is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ronzano, Francesco, et al.. (2019). Supervised Learning Approaches to Detect Negation Cues in Spanish Reviews.. 361–368.2 indexed citations
8.
Piñero, Janet, Juan Manuel Ramírez‐Anguita, Francesco Ronzano, et al.. (2019). The DisGeNET knowledge platform for disease genomics: 2019 update. Nucleic Acids Research. 48(D1). D845–D855.1752 indexed citations breakdown →
9.
Ferrés, Daniel, Horacio Saggion, Francesco Ronzano, & Álex Bravo. (2018). PDFdigest: an adaptable layout-aware PDF-to-XML textual content extractor for scientific articles. Language Resources and Evaluation.3 indexed citations
10.
Barbieri, Francesco, José Camacho-Collados, Francesco Ronzano, et al.. (2018). SemEval 2018 Task 2: Multilingual Emoji Prediction. ORCA Online Research @Cardiff (Cardiff University). 24–33.97 indexed citations
Saggion, Horacio, et al.. (2017). MultiScien: a Bi-Lingual Natural Language Processing System for Mining and Enrichment of Scientific Collections.. Repositori digital de la UPF (Universitat Pompeu Fabra). 26–40.3 indexed citations
13.
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
14.
Saggion, Horacio & Francesco Ronzano. (2016). Natural Language Processing for Intelligent Access to Scientific Information. International Conference on Computational Linguistics. 9–13.2 indexed citations
15.
Ronzano, Francesco, et al.. (2016). A Multi-Layered Annotated Corpus of Scientific Papers. Language Resources and Evaluation. 3081–3088.24 indexed citations
16.
Barbieri, Francesco, Francesco Ronzano, & Horacio Saggion. (2015). Is this Tweet Satirical? A Computational Approach for Satire Detection in Spanish. Procesamiento del lenguaje natural. 55(55). 135–142.15 indexed citations
17.
Barbieri, Francesco, Francesco Ronzano, & Horacio Saggion. (2015). How Topic Biases Your Results? A Case Study of Sentiment Analysis and Irony Detection in Italian. Recent Advances in Natural Language Processing. 41–47.1 indexed citations
18.
Espinosa-Anke, Luis, Horacio Saggion, & Francesco Ronzano. (2015). Weakly supervised definition extraction. Repositori digital de la UPF (Universitat Pompeu Fabra). 176–185.4 indexed citations
19.
Barbieri, Francesco, Francesco Ronzano, & Horacio Saggion. (2015). Do we criticise (and laugh) in the same way? automatic detection of multi-lingual satirical news in twitter. International Conference on Artificial Intelligence. 1215–1221.12 indexed citations
20.
Marchetti, Andrea, et al.. (2006). Toward an Architecture for the Global Wordnet Initiative..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.