Countries citing papers authored by Roberto Basili
Since
Specialization
Citations
This map shows the geographic impact of Roberto Basili'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 Roberto Basili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Basili more than expected).
This network shows the impact of papers produced by Roberto Basili. 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 Roberto Basili. The network helps show where Roberto Basili may publish in the future.
Co-authorship network of co-authors of Roberto Basili
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Basili.
A scholar is included among the top collaborators of Roberto Basili 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 Roberto Basili. Roberto Basili is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bastianelli, Emanuele, Danilo Croce, Roberto Basili, & Daniele Nardi. (2013). UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling. IRIS Research product catalog (Sapienza University of Rome). 2. 573–579.11 indexed citations
8.
Castellucci, Giuseppe, Simone Filice, Danilo Croce, & Roberto Basili. (2013). UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis. Joint Conference on Lexical and Computational Semantics. 2. 369–374.6 indexed citations
9.
Croce, Danilo & Roberto Basili. (2012). Grammatical feature engineering for fine-grained IR tasks. Cineca Institutional Research Information System (Tor Vergata University). 835. 133–143.4 indexed citations
10.
Croce, Danilo, et al.. (2012). UNITOR: Combining Semantic Text Similarity functions through SV Regression. Joint Conference on Lexical and Computational Semantics. 1. 597–602.7 indexed citations
11.
Croce, Danilo, Alessandro Moschitti, & Roberto Basili. (2011). Structured Lexical Similarity via Convolution Kernels on Dependency Trees. Cineca Institutional Research Information System (Tor Vergata University). 1034–1046.86 indexed citations
12.
Basili, Roberto, et al.. (2010). Robust and Efficient Page Rank for Word Sense Disambiguation. 24–32.6 indexed citations
13.
Moschitti, Alessandro & Roberto Basili. (2006). A Tree Kernel approach to Question and Answer Classification in Question Answering Systems. Language Resources and Evaluation. 1510–1513.15 indexed citations
14.
Cilia, Elisa, Alessandro Moschitti, Sergio Ammendola, & Roberto Basili. (2006). Structured Kernels for the Automatic Detection of Protein Active Sites. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 117–124.
15.
Basili, Roberto, Maria Teresa Pazienza, & Fabio Massimo Zanzotto. (2002). Acquisition of domain conceptual dictionaries via decision tree learning. European Conference on Artificial Intelligence. 480–484.1 indexed citations
16.
Basili, Roberto, Alessandro Moschitti, & Maria Teresa Pazienza. (2002). Empirical investigation of fast text classification over linguistic features. European Conference on Artificial Intelligence. 485–489.1 indexed citations
17.
Basili, Roberto, et al.. (2001). Modelling the syntactic contextual information for term extraction. Cineca Institutional Research Information System (Tor Vergata University).6 indexed citations
18.
Basili, Roberto, et al.. (1999). Adaptive parsing for time-constrained tasks. Cineca Institutional Research Information System (Tor Vergata University).1 indexed citations
19.
Basili, Roberto, et al.. (1997). Inducing Terminology for Lexical Acquisition. Empirical Methods in Natural Language Processing.8 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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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.