Fabio Fassetti

947 total citations
34 papers, 532 citations indexed

About

Fabio Fassetti is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Fabio Fassetti has authored 34 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 5 papers in Molecular Biology. Recurrent topics in Fabio Fassetti's work include Anomaly Detection Techniques and Applications (17 papers), Network Security and Intrusion Detection (9 papers) and Imbalanced Data Classification Techniques (7 papers). Fabio Fassetti is often cited by papers focused on Anomaly Detection Techniques and Applications (17 papers), Network Security and Intrusion Detection (9 papers) and Imbalanced Data Classification Techniques (7 papers). Fabio Fassetti collaborates with scholars based in Italy, Israel and United Kingdom. Fabio Fassetti's co-authors include Fabrizio Angiulli, Luigi Palopoli, Bettina Fazzinga, Giuseppe Manco, Gianluigi Greco, Giorgio Terracina, Adolfo Saiardi, Simona E. Rombo, Domenico Saccà and Angelo Furfaro and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Knowledge and Data Engineering and Machine Learning.

In The Last Decade

Fabio Fassetti

28 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabio Fassetti Italy	11	443	222	141	63	56	34	532
Barbora Micenková Denmark	5	546 1.2×	195 0.9×	97 0.7×	65 1.0×	39 0.7×	6	670
Matthew Eric Otey United States	9	538 1.2×	249 1.1×	186 1.3×	48 0.8×	102 1.8×	13	667
Guilherme O. Campos Brazil	3	387 0.9×	145 0.7×	74 0.5×	53 0.8×	18 0.3×	5	445
Kostas Tsichlas Greece	9	255 0.6×	191 0.9×	109 0.8×	26 0.4×	41 0.7×	48	386
Stefano Basta Italy	6	240 0.5×	106 0.5×	75 0.5×	26 0.4×	17 0.3×	9	279
Hongzuo Xu China	11	343 0.8×	192 0.9×	125 0.9×	16 0.3×	37 0.7×	23	426
Rémi Domingues France	2	221 0.5×	67 0.3×	48 0.3×	35 0.6×	15 0.3×	3	322
Xiyang Hu United States	4	315 0.7×	144 0.6×	95 0.7×	12 0.2×	16 0.3×	11	391
Ismo Kärkkäinen Finland	7	253 0.6×	75 0.3×	87 0.6×	18 0.3×	10 0.2×	8	322
Mahdi Abadi Iran	16	465 1.0×	429 1.9×	373 2.6×	14 0.2×	187 3.3×	50	744

Countries citing papers authored by Fabio Fassetti

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Fassetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Fassetti

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

All Works

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20 of 20 papers shown

Angiulli, Fabrizio, et al.. (2024). Explaining outliers and anomalous groups via subspace density contrastive loss. Machine Learning. 113(10). 7565–7589. 1 indexed citations

Angiulli, Fabrizio, et al.. (2023). Anomaly detection with correlation laws. Data & Knowledge Engineering. 145. 102181–102181. 6 indexed citations

Angiulli, Fabrizio, et al.. (2023). Enhancing anomaly detectors with LatentOut. Journal of Intelligent Information Systems. 62(4). 905–923. 2 indexed citations

Fassetti, Fabio, et al.. (2022). Discriminating Pattern Mining for Diagnosing Reading Disorders. Applied Sciences. 12(15). 7540–7540.

Angiulli, Fabrizio, et al.. (2022). Graph-based construction of minimal models. Artificial Intelligence. 313. 103754–103754.

Angiulli, Fabrizio & Fabio Fassetti. (2020). Uncertain distance-based outlier detection with arbitrarily shaped data objects. Journal of Intelligent Information Systems. 57(1). 1–24. 4 indexed citations

Fassetti, Fabio, et al.. (2018). Mining string patterns for individuating reading pathologies. 1–5.

Fassetti, Fabio, et al.. (2017). Automatic simulation of RNA editing in plants for the identification of novel putative Open Reading Frames. 1 indexed citations

Angiulli, Fabrizio, Fabio Fassetti, Giuseppe Manco, & Luigi Palopoli. (2016). Outlying property detection with numerical attributes. Data Mining and Knowledge Discovery. 31(1). 134–163. 15 indexed citations

10.

Fassetti, Fabio, et al.. (2016). Discovering New Proteins in Plant Mitochondria by RNA Editing Simulation. Nova Science Publishers (Nova Science Publishers, Inc.). 182–189.

11.

Angiulli, Fabrizio, et al.. (2014). On the tractability of minimal model computation for some CNF theories. Artificial Intelligence. 210. 56–77. 3 indexed citations

12.

Angiulli, Fabrizio & Fabio Fassetti. (2013). Exploiting domain knowledge to detect outliers. Data Mining and Knowledge Discovery. 28(2). 519–568. 14 indexed citations

13.

Angiulli, Fabrizio, Fabio Fassetti, & Luigi Palopoli. (2012). Discovering Characterizations of the Behavior of Anomalous Subpopulations. IEEE Transactions on Knowledge and Data Engineering. 25(6). 1280–1292. 12 indexed citations

14.

Fassetti, Fabio, et al.. (2011). IP6K gene identification in plant genomes by tag searching. BMC Proceedings. 5(S2). S1–S1. 8 indexed citations

15.

Costa, Gianni, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, & Riccardo Ortale. (2010). Mining models of exceptional objects through rule learning. 1078–1082. 1 indexed citations

16.

Angiulli, Fabrizio, Fabio Fassetti, & Luigi Palopoli. (2009). Detecting outlying properties of exceptional objects. ACM Transactions on Database Systems. 34(1). 1–62. 47 indexed citations

17.

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

18.

Angiulli, Fabrizio & Fabio Fassetti. (2009). Outlier Detection Using Inductive Logic Programming. 693–698. 3 indexed citations

19.

Fassetti, Fabio & Bettina Fazzinga. (2007). Approximate Functional Dependencies for XML Data. 5 indexed citations

20.

Angiulli, Fabrizio & Fabio Fassetti. (2007). Detecting distance-based outliers in streams of data. 811–820. 162 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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