Stefano Baccianella

3.1k citations
7 papers · 2.0k indexed · 1 hit paper · h-index 6
Topics
Sentiment Analysis and Opinion Mining (5 papers)Text and Document Classification Technologies (4 papers)Imbalanced Data Classification Techniques (2 papers)
Partner nations
ItalyUnited States

In The Last Decade

Stefano Baccianella

7 papers receiving 1.8k citations

Hit Papers

SentiWordNet 3.0: An Enhanced Lexical Resource for Sentim...2010202620152020201050010001.5k

Peers

Stefano Baccianella
Comparison fields: 5 of 100
  • Artificial Intelligence 1.7k
  • Information Systems 462
  • Sociology and Political Science 241
  • Statistical and Nonlinear Physics 140
  • Management Science and Operations Research 117
Replace Yunqing Xia with:
Yunqing Xia China
Tetsuya Nasukawa Japan
Luís Alfonso Ureña López Spain
Jean Y. Wu United States
María Teresa Martín Valdivia Spain
Siddharth Patwardhan United States
Kentaro Inui Japan
Alexandra Balahur Spain
Kevin Gimpel United States
Donghong Ji China
Stefano Baccianella relative to Yunqing Xia China Yunqing Xia's profile →
Citations per field
00.5×1.5×
Yunqing Xia · 1×
Citations per year

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

About Stefano Baccianella

Stefano Baccianella is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (5 papers), Text and Document Classification Technologies (4 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Information Systems (462 citations) and Statistical and Nonlinear Physics (140 citations). Stefano Baccianella has collaborated with scholars based in Italy and United States. Frequent co-authors include Andrea Esuli and Fabrizio Sebastiani. Their work appears in journals such as Expert Systems with Applications, Neural Computation and Language Resources and Evaluation.

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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