Fabrizio Carcillo

1.8k total citations
5 papers, 503 citations indexed

About

Fabrizio Carcillo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Fabrizio Carcillo has authored 5 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Signal Processing. Recurrent topics in Fabrizio Carcillo's work include Imbalanced Data Classification Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Machine Learning and Algorithms (2 papers). Fabrizio Carcillo is often cited by papers focused on Imbalanced Data Classification Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Machine Learning and Algorithms (2 papers). Fabrizio Carcillo collaborates with scholars based in Belgium and France. Fabrizio Carcillo's co-authors include Gianluca Bontempi, Yann‐Aël Le Borgne, Olivier Caelen, Frédéric Oblé, Yacine Kessaci, Andrea Dal Pozzolo and Olivier Markowitch and has published in prestigious journals such as Information Sciences, Information Fusion and International Journal of Data Science and Analytics.

In The Last Decade

Fabrizio Carcillo

5 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabrizio Carcillo Belgium	4	447	164	101	76	63	5	503
Sylvie Calabretto France	6	378 0.8×	145 0.9×	109 1.1×	65 0.9×	43 0.7×	21	432
Liyun He-Guelton Germany	6	391 0.9×	158 1.0×	112 1.1×	70 0.9×	47 0.7×	8	438
Pierre-Édouard Portier France	5	363 0.8×	145 0.9×	99 1.0×	64 0.8×	44 0.7×	11	414
Frédéric Oblé Belgium	6	292 0.7×	111 0.7×	69 0.7×	59 0.8×	35 0.6×	7	334
Johannes Jurgovsky Germany	4	266 0.6×	101 0.6×	81 0.8×	45 0.6×	35 0.6×	4	307
Suvasini Panigrahi India	10	457 1.0×	127 0.8×	245 2.4×	44 0.6×	57 0.9×	44	634
Jinghua Feng China	10	501 1.1×	67 0.4×	207 2.0×	5 0.1×	35 0.6×	13	575
Arindam Chaudhuri India	10	160 0.4×	96 0.6×	45 0.4×	34 0.4×	11 0.2×	26	364
Ullas Nambiar United States	11	253 0.6×	31 0.2×	199 2.0×	20 0.3×	22 0.3×	38	465
E. Sivasankar India	12	201 0.4×	20 0.1×	102 1.0×	6 0.1×	9 0.1×	41	416

Countries citing papers authored by Fabrizio Carcillo

Since Specialization

Citations

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

Fields of papers citing papers by Fabrizio Carcillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Carcillo

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

All Works

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5 of 5 papers shown

1.

Carcillo, Fabrizio, Yann‐Aël Le Borgne, Olivier Caelen, et al.. (2019). Combining unsupervised and supervised learning in credit card fraud detection. Information Sciences. 557. 317–331. 266 indexed citations

2.

Carcillo, Fabrizio, Yann‐Aël Le Borgne, Olivier Caelen, & Gianluca Bontempi. (2018). Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization. International Journal of Data Science and Analytics. 5(4). 285–300. 75 indexed citations

3.

Carcillo, Fabrizio, Yann‐Aël Le Borgne, Olivier Caelen, & Gianluca Bontempi. (2017). An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection. 631–639. 14 indexed citations

4.

Carcillo, Fabrizio, et al.. (2017). SCARFF : A scalable framework for streaming credit card fraud detection with spark. Information Fusion. 41. 182–194. 146 indexed citations

5.

Carcillo, Fabrizio, et al.. (2016). A Framework for Threat Detection in Communication Systems. 1–6. 2 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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