Francesco Pascale

1.3k total citations · 1 hit paper
33 papers, 636 citations indexed

About

Francesco Pascale is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Francesco Pascale has authored 33 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Signal Processing and 10 papers in Computer Networks and Communications. Recurrent topics in Francesco Pascale's work include Context-Aware Activity Recognition Systems (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Francesco Pascale is often cited by papers focused on Context-Aware Activity Recognition Systems (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Francesco Pascale collaborates with scholars based in Italy, United Kingdom and Ecuador. Francesco Pascale's co-authors include Marco Lombardi, Domenico Santaniello, Francesco Colace, Massimo De Santo, Saverio Lemma, Antonio Pietrosanto, Fabio Clarizia, Mario Casillo, Mario Mezzanzanica and Vincenzo Moscato and has published in prestigious journals such as Pattern Recognition Letters, Applied Sciences and Electronics.

In The Last Decade

Francesco Pascale

32 papers receiving 607 citations

Hit Papers

align trajectories sort by overperformance

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.

Internet of Things: A General Overview between Architectures, Protocols and Applications

2021 167 citations Marco Lombardi, Francesco Pascale et al. Information profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesco Pascale Italy	13	256	206	143	123	87	33	636
Domenico Santaniello Italy	15	215 0.8×	208 1.0×	182 1.3×	93 0.8×	163 1.9×	66	759
Fiammetta Marulli Italy	14	214 0.8×	232 1.1×	196 1.4×	87 0.7×	128 1.5×	48	673
Marco Lombardi Italy	16	331 1.3×	195 0.9×	223 1.6×	87 0.7×	191 2.2×	61	869
Chunhong Zhang China	14	487 1.9×	171 0.8×	175 1.2×	240 2.0×	149 1.7×	112	1.0k
Iván Marsá-Maestre Spain	15	255 1.0×	248 1.2×	105 0.7×	132 1.1×	76 0.9×	68	677
Chunhua Hu China	11	238 0.9×	299 1.5×	246 1.7×	126 1.0×	119 1.4×	16	811
Yeh-Cheng Chen United States	15	231 0.9×	185 0.9×	226 1.6×	107 0.9×	91 1.0×	68	696
Pramod Anantharam United States	11	171 0.7×	265 1.3×	141 1.0×	59 0.5×	124 1.4×	22	574
Daniele Miorandi Italy	15	206 0.8×	360 1.7×	265 1.9×	173 1.4×	68 0.8×	32	722
Marco Prandini Italy	13	129 0.5×	204 1.0×	124 0.9×	69 0.6×	45 0.5×	61	520

Countries citing papers authored by Francesco Pascale

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Pascale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Pascale

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

Pascale, Francesco, et al.. (2023). Automotive Cybersecurity Application Based on CARDIAN. Future Internet. 16(1). 10–10. 2 indexed citations

Pascale, Francesco, et al.. (2022). CARDIAN: A Context Aware Cybersecurity System for Real Time Diagnostic Intrusion Detection Using a Probabilistic Approach with Bayesian Network. 12. 424–429. 3 indexed citations

Carratù, Marco, Francesco Pascale, & Antonio Pietrosanto. (2022). Enforcement Cybersecurity Techniques: A Lightweight Encryption over the CAN-Bus. 412–417. 2 indexed citations

Lombardi, Marco, Francesco Pascale, & Domenico Santaniello. (2021). Internet of Things: A General Overview between Architectures, Protocols and Applications. Information. 12(2). 87–87. 167 indexed citations breakdown →

Lombardi, Marco, Francesco Pascale, & Domenico Santaniello. (2021). Two-Step Algorithm to Detect Cyber-Attack Over the Can-Bus: A Preliminary Case Study in Connected Vehicles. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 8(3). 11 indexed citations

Pascale, Francesco, et al.. (2021). Cybersecurity in Automotive: An Intrusion Detection System in Connected Vehicles. Electronics. 10(15). 1765–1765. 47 indexed citations

Lombardi, Marco, Francesco Pascale, & Domenico Santaniello. (2020). EIDS: Embedded Intrusion Detection System using Machine Learning to Detect Attack Over the CAN-BUS. Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. 2028–2035. 9 indexed citations

Amato, Flora, Francesco Moscato, Vincenzo Moscato, Francesco Pascale, & Antonio Picariello. (2020). An agent-based approach for recommending cultural tours. Pattern Recognition Letters. 131. 341–347. 19 indexed citations

Casillo, Mario, Fabio Clarizia, Francesco Colace, et al.. (2019). An Approach for Recommending Contextualized Services in e-Tourism. Information. 10(5). 180–180. 21 indexed citations

10.

Clarizia, Fabio, Francesco Colace, Massimo De Santo, et al.. (2019). A multilevel graph approach for rainfall forecasting: A preliminary study case on London area. Concurrency and Computation Practice and Experience. 32(8). 18 indexed citations

11.

Clarizia, Fabio, Francesco Colace, Massimo De Santo, et al.. (2019). A Context-Aware Chatbot for Tourist Destinations. 348–354. 25 indexed citations

12.

Casillo, Mario, Fabio Clarizia, Francesco Colace, et al.. (2019). A Latent Dirichlet Allocation Approach using Mixed Graph of Terms for Sentiment Analysis. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations

13.

Colace, Francesco, Massimo De Santo, Marco Lombardi, et al.. (2019). Towards Labour Market Intelligence through Topic Modelling. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 22 indexed citations

14.

Colace, Francesco, Massimo De Santo, Marco Lombardi, et al.. (2018). Chatbot for E-Learning: A Case of Study. International Journal of Mechanical Engineering and Robotics Research. 528–533. 104 indexed citations

15.

Clarizia, Fabio, Francesco Colace, Marco Lombardi, & Francesco Pascale. (2018). A Sentiment Analysis Approach for supporting Blended Learning Process.. 8–14. 1 indexed citations

16.

Colace, Francesco, Marco Lombardi, Francesco Pascale, & Domenico Santaniello. (2018). A Multilevel Graph Representation for Big Data Interpretation in Real Scenarios. 40–47. 8 indexed citations

17.

Colace, Francesco, Fabio Clarizia, M. Lombardi, & Francesco Pascale. (2018). A Sentiment Analysis Approach for supporting Blended Learning Process. 2018. 8–14.

18.

Clarizia, Fabio, Francesco Colace, Massimo De Santo, Marco Lombardi, & Francesco Pascale. (2018). A Sentiment Analysis Approach for Evaluation of Events in Field of Cultural Heritage. 10 indexed citations

19.

Lombardi, Marco, Francesco Pascale, & Domenico Santaniello. (2018). A Double-layer Approach for Historical Documents Archiving. 22. 137–140. 1 indexed citations

20.

Colace, Francesco, Saverio Lemma, Marco Lombardi, & Francesco Pascale. (2017). A Context Aware Approach for Promoting Tourism Events: The Case of Artist’s Lights in Salerno. INFM-OAR (INFN Catania). 752–759. 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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