Roberto Saia

1.4k total citations · 1 hit paper
43 papers, 832 citations indexed

About

Roberto Saia is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Roberto Saia has authored 43 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 15 papers in Information Systems and 10 papers in Computer Networks and Communications. Recurrent topics in Roberto Saia's work include Imbalanced Data Classification Techniques (13 papers), Financial Distress and Bankruptcy Prediction (9 papers) and Network Security and Intrusion Detection (7 papers). Roberto Saia is often cited by papers focused on Imbalanced Data Classification Techniques (13 papers), Financial Distress and Bankruptcy Prediction (9 papers) and Network Security and Intrusion Detection (7 papers). Roberto Saia collaborates with scholars based in Italy, Spain and Germany. Roberto Saia's co-authors include Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu, Massimo Bartoletti, Tiziana Cimoli, Ludovico Boratto, Alessandro Sebastian Podda, Lorena Giordano, Roberto Carapellucci and Anselmo Ferreira and has published in prestigious journals such as Sensors, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Roberto Saia

39 papers receiving 805 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dissecting Ponzi schemes on Ethereum: identification, analysis, and\n impact

2017 209 citations Massimo Bartoletti, Salvatore Carta et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roberto Saia Italy	18	438	397	123	118	83	43	832
Yee Ling Boo Australia	7	306 0.7×	136 0.3×	73 0.6×	73 0.6×	40 0.5×	22	522
Arafat Al-Dhaqm Malaysia	21	320 0.7×	638 1.6×	42 0.3×	167 1.4×	74 0.9×	55	1.0k
Wooju Kim South Korea	16	446 1.0×	306 0.8×	23 0.2×	238 2.0×	79 1.0×	97	1.0k
Dženana Đonko Bosnia and Herzegovina	11	244 0.6×	181 0.5×	32 0.3×	79 0.7×	45 0.5×	50	532
Yi Liang United States	12	155 0.4×	165 0.4×	172 1.4×	182 1.5×	19 0.2×	34	677
Karel Dejaeger Belgium	8	378 0.9×	518 1.3×	47 0.4×	120 1.0×	80 1.0×	19	1.0k
Chihli Hung Taiwan	11	450 1.0×	197 0.5×	111 0.9×	32 0.3×	69 0.8×	39	720
Kyungho Lee South Korea	13	219 0.5×	389 1.0×	24 0.2×	296 2.5×	33 0.4×	119	803
Amr A. Abohany Egypt	13	295 0.7×	180 0.5×	18 0.1×	95 0.8×	23 0.3×	47	616
Pablo García‐Sánchez Spain	15	279 0.6×	85 0.2×	21 0.2×	66 0.6×	36 0.4×	75	597

Countries citing papers authored by Roberto Saia

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Saia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Saia

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Carta, Salvatore, Modesto Castrillón-Santana, Mirko Marras, et al.. (2024). RoadSense3D: A Framework for Roadside Monocular 3D Object Detection. Acceda (Universidad de Las Palmas de Gran Canaria). 452–459.

Podda, Alessandro Sebastian, et al.. (2024). CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis. Digital Signal Processing. 147. 104431–104431. 5 indexed citations

Saia, Roberto, Salvatore Carta, Gianni Fenu, & Livio Pompianu. (2023). Leveraging the Training Data Partitioning to Improve Events Characterization in Intrusion Detection Systems. Journal of Advances in Information Technology. 14(6). 1345–1353.

Saia, Roberto, Salvatore Carta, Gianni Fenu, & Livio Pompianu. (2023). Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research. Neural Computing and Applications. 35(16). 11625–11651. 5 indexed citations

Carta, Salvatore, Anselmo Ferreira, Diego Reforgiato Recupero, & Roberto Saia. (2021). Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space. Progress in Artificial Intelligence. 10(4). 417–432. 10 indexed citations

Saia, Roberto, et al.. (2021). From Payment Services Directive 2 (PSD2) to Credit Scoring: A Case Study on an Italian Banking Institution. UNICA IRIS Institutional Research Information System (University of Cagliari). 164–171. 1 indexed citations

Carta, Salvatore, et al.. (2020). Popularity Prediction of Instagram Posts. Information. 11(9). 453–453. 26 indexed citations

Carta, Salvatore, Alessandro Sebastian Podda, Diego Reforgiato Recupero, & Roberto Saia. (2020). A Local Feature Engineering Strategy to Improve Network Anomaly Detection. Future Internet. 12(10). 177–177. 31 indexed citations

Podda, Alessandro Sebastian, et al.. (2020). Analysis of a Consensus Protocol for Extending Consistent Subchains on the Bitcoin Blockchain. Computation. 8(3). 67–67. 21 indexed citations

10.

Saia, Roberto, Salvatore Carta, Diego Reforgiato Recupero, & Gianni Fenu. (2020). A Feature Space Transformation to Intrusion Detection Systems. UNICA IRIS Institutional Research Information System (University of Cagliari). 137–144.

11.

Carta, Salvatore, et al.. (2019). A Holistic Auto-Configurable Ensemble Machine Learning Strategy for Financial Trading. Computation. 7(4). 67–67. 10 indexed citations

12.

Carta, Salvatore, et al.. (2019). A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification. 105–112. 30 indexed citations

13.

Saia, Roberto. (2018). Unbalanced Data Classification in Fraud Detection by Introducing a Multidimensional Space Analysis. 29–40. 11 indexed citations

14.

Saia, Roberto, Salvatore Carta, & Diego Reforgiato Recupero. (2018). A Probabilistic-driven Ensemble Approach to Perform Event Classification in Intrusion Detection System. UNICA IRIS Institutional Research Information System (University of Cagliari). 141–148. 18 indexed citations

15.

Saia, Roberto, Salvatore Carta, & Gianni Fenu. (2018). A Wavelet-based Data Analysis to Credit Scoring. UNICA IRIS Institutional Research Information System (University of Cagliari). 176–180. 17 indexed citations

16.

Bartoletti, Massimo, Salvatore Carta, Tiziana Cimoli, & Roberto Saia. (2017). Dissecting Ponzi schemes on Ethereum: identification, analysis, and\n impact. arXiv (Cornell University). 209 indexed citations breakdown →

17.

Saia, Roberto & Salvatore Carta. (2017). A Frequency-domain-based Pattern Mining for Credit Card Fraud Detection. UNICA IRIS Institutional Research Information System (University of Cagliari). 386–391. 17 indexed citations

18.

Boratto, Ludovico, Salvatore Carta, Gianni Fenu, & Roberto Saia. (2017). Semantics-aware content-based recommender systems: Design and architecture guidelines. Neurocomputing. 254. 79–85. 35 indexed citations

19.

Saia, Roberto, Ludovico Boratto, Salvatore Carta, & Gianni Fenu. (2016). Binary sieves: Toward a semantic approach to user segmentation for behavioral targeting. Future Generation Computer Systems. 64. 186–197. 9 indexed citations

20.

Saia, Roberto, Ludovico Boratto, & Salvatore Carta. (2015). A Proactive Time-frame Convolution Vector (TFCV) Technique to Detect Frauds Attempts in e-Commerce Transactions. International Journal of e-Education e-Business e-Management and e-Learning. 229–236. 1 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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