Riccardo Pecori

1.2k total citations
47 papers, 727 citations indexed

About

Riccardo Pecori is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Riccardo Pecori has authored 47 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 24 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Riccardo Pecori's work include Network Security and Intrusion Detection (10 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Riccardo Pecori is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Riccardo Pecori collaborates with scholars based in Italy, Spain and United States. Riccardo Pecori's co-authors include Luca Veltri, Mario Luca Bernardi, Marta Cimitile, Lerina Aversano, Pietro Ducange, Massimo Vecchio, Francesco Marcelloni, Raffaele Giaffreda, Giovanni Perrone and Armando Vannucci and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Riccardo Pecori

43 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riccardo Pecori Italy 16 385 326 169 144 63 47 727
Hussam Al Hamadi United Arab Emirates 15 293 0.8× 259 0.8× 226 1.3× 121 0.8× 117 1.9× 68 850
A. Kumaravel India 11 300 0.8× 245 0.8× 176 1.0× 59 0.4× 90 1.4× 51 824
Sikha Bagui United States 16 399 1.0× 509 1.6× 280 1.7× 207 1.4× 32 0.5× 97 913
Abdulatif Alabdulatif Saudi Arabia 19 399 1.0× 364 1.1× 459 2.7× 80 0.6× 76 1.2× 67 885
Nafei Zhu China 17 380 1.0× 276 0.8× 279 1.7× 146 1.0× 79 1.3× 77 779
Vineet Kansal India 13 260 0.7× 163 0.5× 169 1.0× 59 0.4× 97 1.5× 62 575
Hani Alshahrani Saudi Arabia 16 185 0.5× 242 0.7× 151 0.9× 125 0.9× 57 0.9× 65 746
Noshina Tariq Pakistan 18 640 1.7× 264 0.8× 424 2.5× 156 1.1× 90 1.4× 44 941
Aitizaz Ali Malaysia 15 434 1.1× 278 0.9× 567 3.4× 58 0.4× 41 0.7× 52 862
Shahrulniza Musa Malaysia 14 386 1.0× 265 0.8× 322 1.9× 146 1.0× 71 1.1× 71 716

Countries citing papers authored by Riccardo Pecori

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Pecori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Pecori

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Pecori. A scholar is included among the top collaborators of Riccardo Pecori 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 Riccardo Pecori. Riccardo Pecori 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.
Aversano, Lerina, et al.. (2024). Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. SN Computer Science. 5(5). 5 indexed citations
2.
Bernardi, Mario Luca, et al.. (2024). Predictive functions of artificial intelligence for risk assessment in remote hybrid work. AHFE international.
3.
Aversano, Lerina, et al.. (2024). Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. Sensors. 24(11). 3485–3485. 1 indexed citations
4.
Pecori, Riccardo, et al.. (2024). An Explainable Smart Agriculture System based on In- Vivo Biosensors. CINECA IRIS Institutial research information system (University of Pisa). 1–8.
5.
Aversano, Lerina, et al.. (2023). A systematic review on artificial intelligence techniques for detecting thyroid diseases. PeerJ Computer Science. 9. e1394–e1394. 24 indexed citations
6.
Amoretti, Michele, et al.. (2021). ReSS: A tool for discovering relevant sets in complex systems. SoftwareX. 14. 100693–100693. 1 indexed citations
7.
Burgos, Daniel, Pietro Ducange, Pierpaolo Limone, et al.. (2021). Bridges and Mediation in Higher Distance Education: HELMeTO 2020 Report. Education Sciences. 11(7). 334–334. 4 indexed citations
8.
Aversano, Lerina, Mario Luca Bernardi, Marta Cimitile, & Riccardo Pecori. (2021). Deep neural networks ensemble to detect COVID-19 from CT scans. Pattern Recognition. 120. 108135–108135. 25 indexed citations
9.
Alonso, José M., et al.. (2020). Building Explanations for Fuzzy Decision Trees with the ExpliClas Software. CINECA IRIS Institutial research information system (University of Pisa). 1–8. 14 indexed citations
10.
Veltri, Luca, Luca Davoli, Riccardo Pecori, Armando Vannucci, & Francesco Zanichelli. (2019). NEMO: A flexible and highly scalable network EMulatOr. SoftwareX. 10. 100248–100248. 5 indexed citations
11.
12.
Vannucci, Armando, Giulio Colavolpe, Riccardo Pecori, & Luca Veltri. (2019). Estimation of a Gaussian Source with Memory in Bursty Impulsive Noise. IRIS eCampus Telematic University (Università degli Studi eCampus). 1–6. 7 indexed citations
13.
Pecori, Riccardo, Vincenzo Suraci, & Pietro Ducange. (2019). Efficient computation of key performance indicators in a distance learning university. Information Discovery and Delivery. 47(2). 96–105. 6 indexed citations
14.
Pecori, Riccardo. (2019). Augmenting Quality of Experience in Distance Learning Using Fog Computing. IEEE Internet Computing. 23(5). 49–58. 7 indexed citations
15.
Pecori, Riccardo, Pietro Ducange, & Francesco Marcelloni. (2019). Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification. CINECA IRIS Institutial research information system (University of Pisa). 10 indexed citations
16.
Villani, Marco, Riccardo Pecori, Michele Amoretti, et al.. (2018). An Iterative Information‐Theoretic Approach to the Detection of Structures in Complex Systems. Complexity. 2018(1). 11 indexed citations
17.
Ducange, Pietro, et al.. (2017). A glimpse on big data analytics in the framework of marketing strategies. Soft Computing. 22(1). 325–342. 73 indexed citations
18.
Perrone, Giovanni, Massimo Vecchio, Riccardo Pecori, & Raffaele Giaffreda. (2017). The Day After Mirai: A Survey on MQTT Security Solutions After the Largest Cyber-attack Carried Out through an Army of IoT Devices. IRIS eCampus Telematic University (Università degli Studi eCampus). 57 indexed citations
19.
Pecori, Riccardo. (2012). A PKI-free key agreement protocol for P2P VoIP applications. IRIS eCampus Telematic University (Università degli Studi eCampus). 7. 6748–6752. 11 indexed citations
20.
Pecori, Riccardo & Luca Veltri. (2009). A key agreement protocol for P2P VoIP applications. IRIS eCampus Telematic University (Università degli Studi eCampus). 276–280. 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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