Ettore Ritacco

599 total citations
28 papers, 359 citations indexed

About

Ettore Ritacco is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ettore Ritacco has authored 28 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 13 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Ettore Ritacco's work include Recommender Systems and Techniques (8 papers), Data Management and Algorithms (7 papers) and Data Mining Algorithms and Applications (6 papers). Ettore Ritacco is often cited by papers focused on Recommender Systems and Techniques (8 papers), Data Management and Algorithms (7 papers) and Data Mining Algorithms and Applications (6 papers). Ettore Ritacco collaborates with scholars based in Italy, United Kingdom and United States. Ettore Ritacco's co-authors include Giuseppe Manco, Riccardo Ortale, Gianni Costa, Nicola Barbieri, Vikram Pudi, Antonio Luca Alfeo, Mario G. C. A. Cimino, Gigliola Vaglini, Pasquale Rullo and Massimo Guarascio and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Machine Learning.

In The Last Decade

Ettore Ritacco

26 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ettore Ritacco Italy	10	183	156	81	70	53	28	359
Armando Segatori Italy	10	256 1.4×	149 1.0×	34 0.4×	41 0.6×	33 0.6×	13	410
David Vengerov United States	14	200 1.1×	133 0.9×	50 0.6×	256 3.7×	42 0.8×	31	476
P. Radha Krishna India	11	201 1.1×	170 1.1×	73 0.9×	39 0.6×	73 1.4×	56	410
Moises Sudit United States	13	151 0.8×	150 1.0×	113 1.4×	194 2.8×	84 1.6×	28	459
Yurong Cheng China	11	127 0.7×	121 0.8×	100 1.2×	115 1.6×	56 1.1×	31	414
John F. Gilmore United States	9	171 0.9×	93 0.6×	37 0.5×	47 0.7×	71 1.3×	47	366
Nagwa Badr Egypt	14	176 1.0×	250 1.6×	48 0.6×	218 3.1×	67 1.3×	100	567
Alejandro Rosete Suárez Cuba	11	189 1.0×	150 1.0×	33 0.4×	26 0.4×	19 0.4×	68	413
D. V. L. N. Somayajulu India	14	217 1.2×	229 1.5×	99 1.2×	235 3.4×	47 0.9×	53	531
Katarzyna Wasielewska Poland	9	146 0.8×	150 1.0×	80 1.0×	241 3.4×	73 1.4×	33	371

Countries citing papers authored by Ettore Ritacco

Since Specialization

Citations

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

Fields of papers citing papers by Ettore Ritacco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ettore Ritacco

This figure shows the co-authorship network connecting the top 25 collaborators of Ettore Ritacco. A scholar is included among the top collaborators of Ettore Ritacco 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 Ettore Ritacco. Ettore Ritacco 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

Colao, Vittorio, et al.. (2025). An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions. Journal of Intelligent Information Systems. 64(1). 77–96.

Ritacco, Ettore, et al.. (2025). Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences. Information Processing & Management. 62(4). 104125–104125. 2 indexed citations

Ritacco, Ettore, et al.. (2024). Robust anomaly detection via adversarial counterfactual generation. Knowledge and Information Systems. 1 indexed citations

Ritacco, Ettore, et al.. (2024). Balanced Quality Score: Measuring Popularity Debiasing in Recommendation. ACM Transactions on Intelligent Systems and Technology. 15(4). 1–27. 2 indexed citations

Guarascio, Massimo, et al.. (2023). Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. Theory and Practice of Logic Programming. 23(4). 748–764.

Ritacco, Ettore, et al.. (2023). Audio-based anomaly detection on edge devices via self-supervision and spectral analysis. Journal of Intelligent Information Systems. 61(3). 765–793. 3 indexed citations

Manco, Giuseppe, Ettore Ritacco, Antonino Rullo, Domenico Saccà, & Edoardo Serra. (2022). Machine learning methods for generating high dimensional discrete datasets. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 12(2). 4 indexed citations

Manco, Giuseppe, et al.. (2021). Adversarial Regularized Reconstruction for Anomaly Detection and Generation. 1204–1209. 3 indexed citations

Guarascio, Massimo, et al.. (2020). A Deep Learning Approach for Detecting Security Attacks on Blockchain.. 212–222. 17 indexed citations

10.

Alfeo, Antonio Luca, Mario G. C. A. Cimino, Giuseppe Manco, Ettore Ritacco, & Gigliola Vaglini. (2020). Using an autoencoder in the design of an anomaly detector for smart manufacturing. Pattern Recognition Letters. 136. 272–278. 64 indexed citations

11.

Manco, Giuseppe, Ettore Ritacco, & Nicola Barbieri. (2019). A Factorization Approach for Survival Analysis on Diffusion Networks. IEEE Transactions on Knowledge and Data Engineering. 33(1). 1–13. 6 indexed citations

12.

Barbieri, Nicola, Giuseppe Manco, & Ettore Ritacco. (2014). Probabilistic Approaches to Recommendations. 5(2). 1–197. 9 indexed citations

13.

Costa, Gianni, Riccardo Ortale, & Ettore Ritacco. (2013). X-Class. ACM Transactions on Information Systems. 31(1). 1–40. 22 indexed citations

14.

Barbieri, Nicola, et al.. (2013). Probabilistic topic models for sequence data. Machine Learning. 93(1). 5–29. 21 indexed citations

15.

Costa, Gianni, Riccardo Ortale, & Ettore Ritacco. (2011). Effective XML Classification Using Content and Structural Information via Rule Learning. 3202. 102–109. 12 indexed citations

16.

Barbieri, Nicola, Giuseppe Manco, & Ettore Ritacco. (2011). A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. 630–641. 4 indexed citations

17.

Costa, Gianni, Riccardo Ortale, & Ettore Ritacco. (2011). A TRANSACTIONAL APPROACH TO ASSOCIATIVE XML CLASSIFICATION BY CONTENT AND STRUCTURE. 104–113. 3 indexed citations

18.

Ortale, Riccardo, et al.. (2011). A new architectural paradigm for content-based web applications. Institutional Research Information System (University of Udine). 192–192. 2 indexed citations

19.

Ortale, Riccardo, Ettore Ritacco, Nikos Pelekis, et al.. (2008). DAEDALUS: A knowledge discovery analysis framework for movement data.. SEBD. 48(2). 191–198. 2 indexed citations

20.

Ortale, Riccardo, Ettore Ritacco, Nikos Pelekis, et al.. (2008). The DAEDALUS framework. ISTI Open Portal. 1–4. 14 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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