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.
Distributional Memory: A General Framework for Corpus-Based Semantics
Countries citing papers authored by Alessandro Lenci
Since
Specialization
Citations
This map shows the geographic impact of Alessandro Lenci'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 Alessandro Lenci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Lenci more than expected).
Fields of papers citing papers by Alessandro Lenci
This network shows the impact of papers produced by Alessandro Lenci. 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 Alessandro Lenci. The network helps show where Alessandro Lenci may publish in the future.
Co-authorship network of co-authors of Alessandro Lenci
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Lenci.
A scholar is included among the top collaborators of Alessandro Lenci 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 Alessandro Lenci. Alessandro Lenci is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Lenci, Alessandro, et al.. (2020). Valency coercion in Italian. CINECA IRIS Institutial research information system (University of Pisa). 12(2). 171–205.2 indexed citations
Lenci, Alessandro, et al.. (2017). Modelling the Meaning of Argument Constructions with Distributional Semantics. CINECA IRIS Institutial research information system (University of Pisa).3 indexed citations
Lenci, Alessandro, et al.. (2016). Evaluating Context Selection Strategies to Build Emotive Vector Space Models. Language Resources and Evaluation. 2185–2191.1 indexed citations
9.
Lenci, Alessandro, et al.. (2016). Italian VerbNet: A Construction-based Approach to Italian Verb Classification. Language Resources and Evaluation. 2633–2642.1 indexed citations
10.
Santus, Enrico, Qin Lu, Alessandro Lenci, & Chu‐Ren Huang. (2014). Taking Antonymy Mask off in Vector Space. CINECA IRIS Institutial research information system (University of Pisa). 135–144.13 indexed citations
11.
Lenci, Alessandro, et al.. (2012). LexIt: A Computational Resource on Italian Argument Structure. Language Resources and Evaluation. 3712–3718.13 indexed citations
12.
Lenci, Alessandro, et al.. (2010). Building an Italian FrameNet through semi-automatic corpus analysis. Language Resources and Evaluation. 12–19.8 indexed citations
13.
Lenci, Alessandro, Barbara McGillivray, Simonetta Montemagni⋄, & Vito Pirrelli. (2008). Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora. Language Resources and Evaluation. 91. 3000–3006.7 indexed citations
14.
Lenci, Alessandro, et al.. (2008). Distributional semantics in linguistic and cognitive research. CINECA IRIS Institutial research information system (University of Pisa). 20(1). 1–32.132 indexed citations
15.
Caracciolo, Caterina, et al.. (2006). Creation and Use of Lexicons and Ontologies for NL Interfaces to Databases. Language Resources and Evaluation. 219–224.3 indexed citations
16.
Calzolari, Nicoletta, Khalid Choukri, Bente Mægaard, et al.. (2004). ENABLER Thematic Network of National Projects: Technical, Strategic and Political Issues of LRs. Language Resources and Evaluation.3 indexed citations
17.
Lenci, Alessandro, et al.. (2004). Semantic Mark-up of Italian Legal Texts Through NLP-based Techniques.. Language Resources and Evaluation.8 indexed citations
18.
Lenci, Alessandro, et al.. (2002). The Lexicon-Grammar Balance in Robust Parsing of Italian. Language Resources and Evaluation.4 indexed citations
19.
Calzolari, Nicoletta, Charles J. Fillmore, Ralph Grishman, et al.. (2002). Towards Best Practice for Multiword Expressions in Computational Lexicons. Language Resources and Evaluation.82 indexed citations
20.
Bel, Núria, Francesca Bertagna, Pierrette Bouillon, et al.. (2002). From Resources to Applications. Designing the Multilingual ISLE Lexical Entry.. Language Resources and Evaluation.6 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.