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.
This map shows the geographic impact of Andrea Esuli'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 Andrea Esuli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Esuli more than expected).
This network shows the impact of papers produced by Andrea Esuli. 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 Andrea Esuli. The network helps show where Andrea Esuli may publish in the future.
Co-authorship network of co-authors of Andrea Esuli
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Esuli.
A scholar is included among the top collaborators of Andrea Esuli 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 Andrea Esuli. Andrea Esuli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Esuli, Andrea, et al.. (2012). ISTI@TREC Microblog Track 2012: Real-Time Filtering Through Supervised Learning.. Text REtrieval Conference.1 indexed citations
11.
Esuli, Andrea, et al.. (2011). Blog distillation via sentiment-sensitive link analysis.1 indexed citations
12.
Esuli, Andrea, et al.. (2011). ISTI@TREC Microblog track 2011: exploring the use of hashtag segmentation and text quality ranking. Text REtrieval Conference.12 indexed citations
13.
Esuli, Andrea, Diego Marcheggiani, & Fabrizio Sebastiani. (2010). ISTI@SemEval-2 Task 8: Boosting-Based Multiway Relation Classification. Meeting of the Association for Computational Linguistics. 218–221.1 indexed citations
Esuli, Andrea. (2010). PP-Index: Using Permutation Prefixes for Efficient and Scalable Similarity Search (Extended Abstract).. SEBD. 318–325.4 indexed citations
16.
Esuli, Andrea, et al.. (2008). Annotating Expressions of Opinion and Emotion in the Italian Content Annotation Bank. Language Resources and Evaluation.10 indexed citations
17.
Esuli, Andrea & Fabrizio Sebastiani. (2007). PageRanking WordNet Synsets: An Application to Opinion Mining. Meeting of the Association for Computational Linguistics. 424–431.106 indexed citations
18.
Esuli, Andrea & Fabrizio Sebastiani. (2006). SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining. Language Resources and Evaluation. 16(20). 417–422.1592 indexed citations breakdown →
19.
Esuli, Andrea & Fabrizio Sebastiani. (2006). Determining Term Subjectivity and Term Orientation for Opinion Mining. Conference of the European Chapter of the Association for Computational Linguistics. 193–200.174 indexed citations
20.
Attardi, Giuseppe, Andrea Esuli, & Chirag Patel. (2004). Using Clustering and Blade Clusters in the TeraByte task. CINECA IRIS Institutial research information system (University of Pisa).2 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.