Stefano Cirillo

700 total citations
49 papers, 381 citations indexed

About

Stefano Cirillo is a scholar working on Artificial Intelligence, Clinical Psychology and Information Systems. According to data from OpenAlex, Stefano Cirillo has authored 49 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Clinical Psychology and 11 papers in Information Systems. Recurrent topics in Stefano Cirillo's work include Psychoanalysis and Psychopathology Research (7 papers), Data Mining Algorithms and Applications (6 papers) and Data Quality and Management (6 papers). Stefano Cirillo is often cited by papers focused on Psychoanalysis and Psychopathology Research (7 papers), Data Mining Algorithms and Applications (6 papers) and Data Quality and Management (6 papers). Stefano Cirillo collaborates with scholars based in Italy, India and Iran. Stefano Cirillo's co-authors include Giuseppe Polese, Loredana Caruccio, Shanmugam Sundaramurthy, Genoveffa Tortora, Paola Di Blasio, Vincenzo Deufemia, Enrico Corradini, Luca Virgili, Gianluca Bonifazi and Christian Esposito and has published in prestigious journals such as Expert Systems with Applications, Applied Sciences and Image and Vision Computing.

In The Last Decade

Stefano Cirillo

41 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Cirillo Italy 11 144 71 70 65 43 49 381
Naurin Farooq Khan Pakistan 9 148 1.0× 82 1.2× 9 0.1× 103 1.6× 28 0.7× 16 375
Daniel Oster Germany 10 279 1.9× 33 0.5× 29 0.4× 48 0.7× 85 2.0× 18 537
Brendan Flanagan Japan 16 218 1.5× 40 0.6× 27 0.4× 288 4.4× 23 0.5× 106 777
Manjur Kolhar Saudi Arabia 10 84 0.6× 119 1.7× 32 0.5× 101 1.6× 12 0.3× 45 485
Patrick Lange United States 9 260 1.8× 32 0.5× 13 0.2× 19 0.3× 26 0.6× 38 444
Ayoub Bagheri Netherlands 13 334 2.3× 58 0.8× 8 0.1× 132 2.0× 25 0.6× 36 539
Young D. Kwon United Kingdom 9 130 0.9× 36 0.5× 6 0.1× 41 0.6× 77 1.8× 24 344
Shoaib Jameel United Kingdom 11 331 2.3× 38 0.5× 17 0.2× 80 1.2× 9 0.2× 53 515
Hadeel Alharbi Saudi Arabia 7 103 0.7× 33 0.5× 98 1.4× 150 2.3× 3 0.1× 24 645
Martin Hlosta United Kingdom 12 290 2.0× 20 0.3× 15 0.2× 124 1.9× 31 0.7× 32 864

Countries citing papers authored by Stefano Cirillo

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Cirillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Cirillo

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

All Works

20 of 20 papers shown
1.
Cirillo, Stefano, et al.. (2025). A hybrid approach combining images and questionnaires for early detection and severity assessment of Autism Spectrum Disorder. Image and Vision Computing. 160. 105547–105547.
2.
Cirillo, Stefano, et al.. (2024). Developing a Hybrid Detection Approach to Mitigating Black Hole and Gray Hole Attacks in Mobile Ad Hoc Networks. Applied Sciences. 14(17). 7982–7982. 3 indexed citations
3.
4.
Cirillo, Stefano, et al.. (2024). Exploring the ability of emerging large language models to detect cyberbullying in social posts through new prompt-based classification approaches. Information Processing & Management. 62(3). 104043–104043. 2 indexed citations
5.
Caruccio, Loredana, et al.. (2024). Claude 2.0 large language model: Tackling a real-world classification problem with a new iterative prompt engineering approach. Intelligent Systems with Applications. 21. 200336–200336. 21 indexed citations
6.
Atzori, Maurizio, et al.. (2024). Evaluating password strength based on information spread on social networks: A combined approach relying on data reconstruction and generative models. UNICA IRIS Institutional Research Information System (University of Cagliari). 42. 100278–100278. 2 indexed citations
7.
Caruccio, Loredana, et al.. (2024). Analyzing the worldwide perception of the Russia-Ukraine conflict through Twitter. Journal Of Big Data. 11(1).
8.
Cirillo, Stefano, et al.. (2023). A deep learning approach to classify country and value of modern coins. Neural Computing and Applications. 36(20). 11759–11775. 1 indexed citations
9.
Caruccio, Loredana, et al.. (2023). Malicious Account Identification in Social Network Platforms. ACM Transactions on Internet Technology. 23(4). 1–25. 3 indexed citations
10.
Caruccio, Loredana, et al.. (2023). IndiBits: Incremental Discovery of Relaxed Functional Dependencies using Bitwise Similarity. 1393–1405. 1 indexed citations
11.
Bonifazi, Gianluca, et al.. (2022). Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach. Information Processing & Management. 59(6). 103095–103095. 28 indexed citations
12.
Caruccio, Loredana, et al.. (2022). Brain tumors classification from MRI images: A comparative study between different neural networks. 2022. 23–30. 2 indexed citations
13.
Caruccio, Loredana, Stefano Cirillo, Vincenzo Deufemia, & Giuseppe Polese. (2021). Efficient Validation of Functional Dependencies during Incremental Discovery.. SEBD. 1–12. 1 indexed citations
14.
Cirillo, Stefano, et al.. (2021). L’équipe, base de sécurité de l’expérience des formats en thérapie familiale. Cahiers critiques de thérapie familiale et de pratiques de réseaux. n° 66(1). 143–170.
15.
Cirillo, Stefano, et al.. (2021). An intelligent system for focused crawling from Big Data sources. Expert Systems with Applications. 184. 115560–115560. 23 indexed citations
16.
Caruccio, Loredana, et al.. (2020). Visualizing Dependencies during Incremental Discovery Processes.. EDBT/ICDT Workshops. 3 indexed citations
17.
Cirillo, Stefano, et al.. (2020). Perceiving space through sound: mapping human movements into MIDI. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 2020. 49–56. 2 indexed citations
18.
19.
Cirillo, Stefano & Paola Di Blasio. (1992). Families that Abuse: Diagnosis and Therapy. 5 indexed citations
20.
Cirillo, Stefano, et al.. (1986). Handicap and Rehabilitation: Two Types of information Upsetting Family Organization. Family Process. 25(2). 283–292. 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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