Fabrizio Sebastiani
About
In The Last Decade
Fabrizio Sebastiani
136 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Artificial Intelligence 9.4k
- Information Systems 3.9k
- Computer Vision and Pattern Recognition 1.0k
- Sociology and Political Science 741
- Signal Processing 542
Countries citing papers authored by Fabrizio Sebastiani
This map shows the geographic impact of Fabrizio Sebastiani'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 Fabrizio Sebastiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Sebastiani more than expected).
Fields of papers citing papers by Fabrizio Sebastiani
This network shows the impact of papers produced by Fabrizio Sebastiani. 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 Fabrizio Sebastiani. The network helps show where Fabrizio Sebastiani may publish in the future.
Co-authorship network of co-authors of Fabrizio Sebastiani
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Sebastiani. A scholar is included among the top collaborators of Fabrizio Sebastiani 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 Fabrizio Sebastiani. Fabrizio Sebastiani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 27 | |
| 6 | 19 | |
| 7 | Blog distillation via sentiment-sensitive link analysis | 1 |
| 8 | ISTI@TREC Microblog track 2011: exploring the use of hashtag segmentation and text quality ranking | 12 |
| 9 | 1 | |
| 10 | ISTI@SemEval-2 Task 8: Boosting-Based Multiway Relation Classification | 1 |
| 11 | SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining breakdown → | 1592 |
| 12 | Determining Term Subjectivity and Term Orientation for Opinion Mining | 174 |
| 13 | Cluster Generation and Cluster Labelling for Web Snippets | 8 |
| 14 | An Experimental Comparison of Term Representation for Term Management Applications. | 1 |
| 15 | An Analysis of the Relative Difficulty of Reuters-21578 Subsets. | 6 |
| 16 | A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization | 102 |
| 17 | Feature Selection and Negative Evidence in Automated Text Categorization | 27 |
| 18 | 50 | |
| 19 | Incremental knowledge acquisition for non-monotonic reasoning | 1 |
| 20 | A Computationally Tractable Terminological Logic | 7 |
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.