Francesco Pupo

562 total citations
51 papers, 318 citations indexed

About

Francesco Pupo is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, Francesco Pupo has authored 51 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 15 papers in Computational Theory and Mathematics and 11 papers in Hardware and Architecture. Recurrent topics in Francesco Pupo's work include Real-Time Systems Scheduling (11 papers), Petri Nets in System Modeling (9 papers) and Formal Methods in Verification (9 papers). Francesco Pupo is often cited by papers focused on Real-Time Systems Scheduling (11 papers), Petri Nets in System Modeling (9 papers) and Formal Methods in Verification (9 papers). Francesco Pupo collaborates with scholars based in Italy, Nigeria and Saudi Arabia. Francesco Pupo's co-authors include Libero Nigro, Domenico Grimaldi, Angelo Furfaro, Giancarlo Fortino, Franco Cicirelli, Pasquale Daponte, Giuseppe Franzè, Fabio Bruno, Mohammad Mehedi Hassan and Luigi D’Alfonso and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Francesco Pupo

47 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesco Pupo Italy	10	127	70	61	56	51	51	318
Mohammed I. Younis Iraq	12	103 0.8×	15 0.2×	75 1.2×	61 1.1×	41 0.8×	57	429
Andrew J. Kornecki United States	11	67 0.5×	19 0.3×	58 1.0×	94 1.7×	58 1.1×	67	389
Peter Bunus Sweden	9	52 0.4×	227 3.2×	45 0.7×	155 2.8×	59 1.2×	27	403
Krishna Gopal India	12	96 0.8×	29 0.4×	9 0.1×	25 0.4×	47 0.9×	50	385
Marten Lohstroh United States	11	113 0.9×	78 1.1×	128 2.1×	93 1.7×	43 0.8×	31	345
Franz J. Rammig Germany	10	103 0.8×	56 0.8×	119 2.0×	31 0.6×	117 2.3×	70	319
Dan Puiu Romania	8	121 1.0×	11 0.2×	23 0.4×	13 0.2×	73 1.4×	20	291
Ken Pierce United Kingdom	9	44 0.3×	30 0.4×	36 0.6×	29 0.5×	42 0.8×	28	217
Haitao Zhang China	11	219 1.7×	17 0.2×	35 0.6×	16 0.3×	48 0.9×	51	362
Chan-Gun Lee South Korea	13	185 1.5×	34 0.5×	51 0.8×	15 0.3×	108 2.1×	52	444

Countries citing papers authored by Francesco Pupo

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Pupo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Pupo

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

Pupo, Francesco, et al.. (2025). Intersezione tra intelligenza artificiale generativa e educazione: un’ipotesi. Journal of Educational Cultural and Psychological Studies (ECPS Journal). 2 indexed citations

Pupo, Francesco, et al.. (2025). A Meta-Survey of Generative AI in Education: Trends, Challenges, and Research Directions. Big Data and Cognitive Computing. 9(9). 237–237.

Jagatheesaperumal, Senthil Kumar, et al.. (2024). Few-shot image classification using graph neural network with fine-grained feature descriptors. Neurocomputing. 610. 128448–128448. 10 indexed citations

D’Aniello, Giuseppe, Luca Greco, Francesco Pupo, & Claudio Savaglio. (2024). Entrust: usEr ceNtric plaTform foR continoUS healThcare. 595–600.

D’Alfonso, Luigi, et al.. (2024). Autonomous Vehicle Platoons in Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach. IEEE/CAA Journal of Automatica Sinica. 11(1). 141–156. 16 indexed citations

Famularo, Domenico, et al.. (2024). An Intelligent Multi-Layer Control Architecture for Logistics Operations of Autonomous Vehicles in Manufacturing Systems. IEEE Transactions on Automation Science and Engineering. 22. 7296–7311. 5 indexed citations

Reza, Md Tanzim, et al.. (2023). Federated Ensemble-Learning for Transport Mode Detection in Vehicular Edge Network. Future Generation Computer Systems. 149. 89–104. 8 indexed citations

Franzè, Giuseppe, et al.. (2023). A Sustainable Multi-Agent Routing Algorithm for Vehicle Platoons in Urban Networks. IEEE Transactions on Intelligent Transportation Systems. 24(12). 14830–14840. 5 indexed citations

Fortino, Giancarlo, et al.. (2023). A distributed reinforcement learning and model predictive control architecture for routing decisions in urban road networks. IFAC-PapersOnLine. 56(2). 2359–2364.

10.

Tropea, Mauro, et al.. (2021). SCARE: A Novel Switching and Collision Avoidance pRocEss for Connected Vehicles Using Virtualization and Edge Computing Paradigm. Sensors. 21(11). 3638–3638. 3 indexed citations

11.

Casavola, Alessandro, et al.. (2020). An Underwater Pathfinding Algorithm for Optimised Planning of Survey Dives. Remote Sensing. 12(23). 3974–3974. 9 indexed citations

12.

Cicirelli, Franco, Angelo Furfaro, Libero Nigro, & Francesco Pupo. (2013). Modelling Java concurrency: An approach and a UPPAAL library. Federated Conference on Computer Science and Information Systems. 1373–1380. 3 indexed citations

13.

Cicirelli, Franco, Angelo Furfaro, Libero Nigro, & Francesco Pupo. (2012). Agents Over The Grid: An Experience Using The Globus Toolkit 4. 78–85. 1 indexed citations

14.

Nigro, Libero & Francesco Pupo. (2007). Using Design/CPN for the Schedulability Analysis of Actor Systems with Timing Constraints.

15.

Cicirelli, Franco, Angelo Furfaro, Libero Nigro, & Francesco Pupo. (2006). Modelling and Analysis of Dynamic-Priority Real-Time Systems. Summer Computer Simulation Conference. 349–355. 1 indexed citations

16.

Cicirelli, Franco, Angelo Furfaro, Domenico Grimaldi, Libero Nigro, & Francesco Pupo. (2005). MADAMS: A software architecture for the management of networked measurement services. Computer Standards & Interfaces. 28(4). 396–411. 15 indexed citations

17.

Furfaro, Angelo, Libero Nigro, & Francesco Pupo. (2003). Aspect oriented programming using actors. 2. 493–498. 3 indexed citations

18.

Fortino, Giancarlo, et al.. (2002). Super actors for real time. 1. 142–149. 4 indexed citations

19.

Fortino, Giancarlo, Angelo Furfaro, Libero Nigro, & Francesco Pupo. (2000). Hierarchical Communicating Real-Time State Machines. Parallel and Distributed Processing Techniques and Applications. 3027–3033. 3 indexed citations

20.

Grimaldi, Domenico, Libero Nigro, & Francesco Pupo. (1996). Development Issues of Distributed Measurement Systems. 3 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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