Stefano Basta

462 total citations
9 papers, 279 citations indexed

About

Stefano Basta is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, Stefano Basta has authored 9 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Statistics and Probability. Recurrent topics in Stefano Basta's work include Anomaly Detection Techniques and Applications (8 papers), Imbalanced Data Classification Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). Stefano Basta is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Imbalanced Data Classification Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). Stefano Basta collaborates with scholars based in Italy and India. Stefano Basta's co-authors include Fabrizio Angiulli, Clara Pizzuti, Stefano Lodi, Claudio Sartori, Fosca Giannotti, Dino Pedreschi, Laura Spinsanti, Giuseppe Manco, Massimo Guarascio and Fabio Fassetti and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Stefano Basta

9 papers receiving 252 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stefano Basta Italy	6	240	106	75	39	35	9	279
Ismo Kärkkäinen Finland	7	253 1.1×	75 0.7×	87 1.2×	23 0.6×	33 0.9×	8	322
Guilherme O. Campos Brazil	3	387 1.6×	145 1.4×	74 1.0×	42 1.1×	57 1.6×	5	445
Jonathan R. Wells Australia	7	216 0.9×	107 1.0×	74 1.0×	14 0.4×	28 0.8×	16	259
Maria Kontaki Greece	8	217 0.9×	151 1.4×	143 1.9×	22 0.6×	15 0.4×	12	305
Srikanth Thudumu Australia	5	204 0.8×	96 0.9×	53 0.7×	19 0.5×	47 1.3×	14	299
Zixuan Yuan United States	5	339 1.4×	186 1.8×	180 2.4×	19 0.5×	66 1.9×	12	431
Rudolf B. Blažek United States	5	146 0.6×	130 1.2×	42 0.6×	6 0.2×	82 2.3×	8	351
Dingshuo Chen China	2	284 1.2×	177 1.7×	171 2.3×	19 0.5×	65 1.9×	3	347
Farnaz Sabahi Iran	8	157 0.7×	120 1.1×	72 1.0×	9 0.2×	43 1.2×	19	292

Countries citing papers authored by Stefano Basta

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Basta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Basta

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

All Works

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9 of 9 papers shown

Angiulli, Fabrizio, Stefano Basta, Stefano Lodi, & Claudio Sartori. (2020). Reducing distance computations for distance-based outliers. Expert Systems with Applications. 147. 113215–113215. 14 indexed citations

Angiulli, Fabrizio, Stefano Basta, Stefano Lodi, & Claudio Sartori. (2016). GPU Strategies for Distance-Based Outlier Detection. IEEE Transactions on Parallel and Distributed Systems. 27(11). 3256–3268. 19 indexed citations

Angiulli, Fabrizio, Stefano Basta, Stefano Lodi, & Claudio Sartori. (2014). Accelerating outlier detection with intra- and inter-node parallelism. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1759. 476–483. 1 indexed citations

Angiulli, Fabrizio, Stefano Basta, Stefano Lodi, & Claudio Sartori. (2013). Fast outlier detection using a GPU. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 7302. 143–150. 5 indexed citations

Angiulli, Fabrizio, Stefano Basta, Stefano Lodi, & Claudio Sartori. (2012). Distributed Strategies for Mining Outliers in Large Data Sets. IEEE Transactions on Knowledge and Data Engineering. 25(7). 1520–1532. 43 indexed citations

Basta, Stefano, Fosca Giannotti, Giuseppe Manco, Dino Pedreschi, & Laura Spinsanti. (2009). SNIPER: A Data Mining Methodology for Fiscal Fraud Detection.. ERCIM news/ERCIM news online edition. 2009(4). 229–35. 3 indexed citations

Basta, Stefano, Fabio Fassetti, Massimo Guarascio, et al.. (2009). High Quality True-Positive Prediction for Fiscal Fraud Detection. ISTI Open Portal. 6. 7–12. 9 indexed citations

Angiulli, Fabrizio, Stefano Basta, & Clara Pizzuti. (2006). Distance-based detection and prediction of outliers. IEEE Transactions on Knowledge and Data Engineering. 18(2). 145–160. 176 indexed citations

Angiulli, Fabrizio, Stefano Basta, & Clara Pizzuti. (2005). Detection and prediction of distance-based outliers. 537–542. 9 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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