Stefano Baccianella

3.1k total citations · 1 hit paper
7 papers, 2.0k citations indexed

About

Stefano Baccianella is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Stefano Baccianella has authored 7 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computational Theory and Mathematics. Recurrent topics in Stefano Baccianella's work include Sentiment Analysis and Opinion Mining (5 papers), Text and Document Classification Technologies (4 papers) and Imbalanced Data Classification Techniques (2 papers). Stefano Baccianella is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Text and Document Classification Technologies (4 papers) and Imbalanced Data Classification Techniques (2 papers). Stefano Baccianella collaborates with scholars based in Italy and United States. Stefano Baccianella's co-authors include Fabrizio Sebastiani and Andrea Esuli and has published in prestigious journals such as Expert Systems with Applications, Neural Computation and Language Resources and Evaluation.

In The Last Decade

Stefano Baccianella

7 papers receiving 1.8k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

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.

SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining.

2010 1.8k citations Stefano Baccianella, Andrea Esuli et al. Language Resources and Evaluation profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stefano Baccianella	1.7k	462	241	140	117	7	2.0k
Yunqing Xia	1.5k 0.9×	531 1.1×	310 1.3×	141 1.0×	105 0.9×	68	1.9k
Tetsuya Nasukawa	1.7k 1.0×	479 1.0×	237 1.0×	114 0.8×	96 0.8×	35	2.0k
María Teresa Martín Valdivia	1.9k 1.1×	458 1.0×	207 0.9×	79 0.6×	74 0.6×	116	2.2k
Luís Alfonso Ureña López	1.9k 1.1×	480 1.0×	181 0.8×	83 0.6×	78 0.7×	153	2.2k
Donghong Ji	2.0k 1.2×	499 1.1×	216 0.9×	70 0.5×	82 0.7×	112	2.3k
Felipe Bravo-Márquez	1.2k 0.7×	309 0.7×	263 1.1×	89 0.6×	48 0.4×	41	1.5k
Alexandra Balahur	1.4k 0.8×	270 0.6×	163 0.7×	64 0.5×	100 0.9×	62	1.6k
Isabelle Augenstein	1.3k 0.8×	308 0.7×	386 1.6×	87 0.6×	61 0.5×	88	1.6k
Suppawong Tuarob	680 0.4×	342 0.7×	174 0.7×	89 0.6×	119 1.0×	75	1.2k
Alice Oh	1.2k 0.7×	323 0.7×	286 1.2×	132 0.9×	36 0.3×	98	1.8k

Countries citing papers authored by Stefano Baccianella

Since Specialization

Citations

This map shows the geographic impact of Stefano Baccianella'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 Stefano Baccianella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Baccianella more than expected).

Fields of papers citing papers by Stefano Baccianella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano Baccianella. 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 Stefano Baccianella. The network helps show where Stefano Baccianella may publish in the future.

Co-authorship network of co-authors of Stefano Baccianella

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Baccianella. A scholar is included among the top collaborators of Stefano Baccianella 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 Stefano Baccianella. Stefano Baccianella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Baccianella, Stefano, Andrea Esuli, & Fabrizio Sebastiani. (2013). Using micro-documents for feature selection: The case of ordinal text classification. Expert Systems with Applications. 40(11). 4687–4696. 17 indexed citations

Baccianella, Stefano, Andrea Esuli, & Fabrizio Sebastiani. (2013). StarTrack: The Next Generation (of Product Review Management Tools). New Generation Computing. 31(1). 47–70. 1 indexed citations

Baccianella, Stefano, Andrea Esuli, & Fabrizio Sebastiani. (2013). Feature Selection for Ordinal Text Classification. Neural Computation. 26(3). 557–591. 37 indexed citations

Baccianella, Stefano, Andrea Esuli, & Fabrizio Sebastiani. (2012). Variable-constraint classification and quantification of radiology reports under the ACR Index. Expert Systems with Applications. 40(9). 3441–3449. 6 indexed citations

Baccianella, Stefano, Andrea Esuli, & Fabrizio Sebastiani. (2010). SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining.. Language Resources and Evaluation. 1783 indexed citations breakdown →

Baccianella, Stefano, Andrea Esuli, & Fabrizio Sebastiani. (2010). Feature selection for ordinal regression. 1748–1754. 12 indexed citations

Baccianella, Stefano, Andrea Esuli, & Fabrizio Sebastiani. (2009). Evaluation Measures for Ordinal Regression. 283–287. 135 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.

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