Francesco Longo

3.6k total citations · 1 hit paper
125 papers, 2.4k citations indexed

About

Francesco Longo is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesco Longo has authored 125 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Networks and Communications, 50 papers in Information Systems and 29 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesco Longo's work include IoT and Edge/Fog Computing (68 papers), Cloud Computing and Resource Management (35 papers) and Context-Aware Activity Recognition Systems (24 papers). Francesco Longo is often cited by papers focused on IoT and Edge/Fog Computing (68 papers), Cloud Computing and Resource Management (35 papers) and Context-Aware Activity Recognition Systems (24 papers). Francesco Longo collaborates with scholars based in Italy, Russia and United States. Francesco Longo's co-authors include Antonio Puliafito, Giovanni Merlino, Salvatore Distefano, Dario Bruneo, Nachiket Tapas, Alfonso Panarello, Rahul Ghosh, Carlo Puliafito, Enzo Mingozzi and Vijay K. Naik and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Francesco Longo

116 papers receiving 2.3k citations

Hit Papers

Blockchain and IoT Integr... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Longo Italy 24 1.8k 1.4k 348 315 271 125 2.4k
Giovanni Merlino Italy 23 1.3k 0.7× 959 0.7× 246 0.7× 326 1.0× 233 0.9× 103 1.9k
Walter de Donato Italy 12 2.2k 1.2× 1.2k 0.9× 448 1.3× 316 1.0× 530 2.0× 23 2.7k
Dominique Guinard Switzerland 19 1.6k 0.9× 840 0.6× 432 1.2× 792 2.5× 263 1.0× 41 2.3k
Nik Bessis United Kingdom 28 1.6k 0.9× 1.0k 0.8× 395 1.1× 348 1.1× 387 1.4× 185 2.5k
Flávia C. Delicato Brazil 27 1.8k 1.0× 814 0.6× 582 1.7× 425 1.3× 376 1.4× 172 2.4k
Manuel Díáz Spain 17 1.5k 0.9× 1.4k 1.0× 312 0.9× 266 0.8× 378 1.4× 107 2.5k
Christos Stergiou Greece 18 1.2k 0.7× 849 0.6× 406 1.2× 291 0.9× 581 2.1× 37 2.3k
Blesson Varghese United Kingdom 17 1.7k 1.0× 1.1k 0.8× 367 1.1× 336 1.1× 371 1.4× 81 2.2k
Stefan Schulte Austria 26 1.5k 0.9× 1.4k 1.0× 290 0.8× 388 1.2× 388 1.4× 148 2.4k
Amir Vahid Dastjerdi Australia 23 2.8k 1.6× 1.8k 1.3× 698 2.0× 564 1.8× 374 1.4× 33 3.2k

Countries citing papers authored by Francesco Longo

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Longo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Longo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Longo. A scholar is included among the top collaborators of Francesco Longo 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 Longo. Francesco Longo 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.
Mauro, Manuela, Francesco Longo, Mario Lo Valvo, et al.. (2025). The Use of Environmental DNA as Preliminary Description of Invertebrate Diversity in Three Sicilian Lakes. Animals. 15(3). 355–355.
2.
García, Laura, Rafael Asorey-Cacheda, Francesco Longo, et al.. (2025). Seamless remote roaming activation in LoRaWAN via an API-driven gateway bridge service. Journal of Network and Computer Applications. 242. 104268–104268. 1 indexed citations
3.
Longo, Francesco, et al.. (2024). Enhancing UAV Operational Efficiency through Cloud Computing and Autopilot System Integration. 85–92. 2 indexed citations
5.
Tricomi, Giuseppe, et al.. (2024). Paving the Way for an Urban Intelligence OpenStack-Based Architecture. 5. 284–289. 1 indexed citations
6.
Longo, Francesco, et al.. (2024). MocapMe: DeepLabCut-Enhanced Neural Network for Enhanced Markerless Stability in Sit-to-Stand Motion Capture. Sensors. 24(10). 3022–3022. 4 indexed citations
7.
Tricomi, Giuseppe, et al.. (2023). A Deep Learning-Driven Self-Conscious Distributed Cyber-Physical System for Renewable Energy Communities. Sensors. 23(9). 4549–4549. 25 indexed citations
8.
Longo, Francesco, et al.. (2021). How 5G-based industrial IoT is transforming human-centered smart factories: a Quality of Experience model for Operator 4.0 applications. IFAC-PapersOnLine. 54(1). 255–262. 11 indexed citations
9.
Longo, Francesco, et al.. (2021). Cloud-based Network Virtualization in IoT with OpenStack. ACM Transactions on Internet Technology. 22(1). 1–26. 10 indexed citations
10.
Longo, Francesco, et al.. (2021). A Cloud-Based and Dynamic DNS Approach to Enable the Web of Things. IEEE Transactions on Network Science and Engineering. 9(6). 3968–3978. 7 indexed citations
11.
Tricomi, Giuseppe, et al.. (2021). A Resilient Fire Protection System for Software-Defined Factories. IEEE Internet of Things Journal. 10(4). 3151–3164. 10 indexed citations
12.
Ferretti, Luca, Francesco Longo, Giovanni Merlino, et al.. (2021). Verifiable and auditable authorizations for smart industries and industrial Internet-of-Things. Journal of Information Security and Applications. 59. 102848–102848. 7 indexed citations
13.
Campobello, Giuseppe, et al.. (2021). A Fog-Based Architecture for Latency-Sensitive Monitoring Applications in Industrial Internet of Things. IEEE Internet of Things Journal. 10(3). 1908–1918. 12 indexed citations
14.
Longo, Fabio, Francesco Longo, & Corrado Santoro. (2020). A Reactive Cognitive Architecture based on Natural Language Processing for the task of Decision-Making using a Rich Semantic.. 201–218. 1 indexed citations
15.
Puliafito, Carlo, Enzo Mingozzi, Francesco Longo, Antonio Puliafito, & Omer Rana. (2019). Fog Computing for the Internet of Things. ACM Transactions on Internet Technology. 19(2). 1–41. 229 indexed citations
16.
Merlino, Giovanni, et al.. (2019). Design of a Trustless Smart City system: The #SmartME experiment. Internet of Things. 10. 100126–100126. 9 indexed citations
17.
Panarello, Alfonso, Nachiket Tapas, Giovanni Merlino, Francesco Longo, & Antonio Puliafito. (2018). Blockchain and IoT Integration: A Systematic Survey. Sensors. 18(8). 2575–2575. 467 indexed citations breakdown →
18.
Dautov, Rustem, Salvatore Distefano, Dario Bruneo, et al.. (2018). Data agility through clustered edge computing and stream processing. Concurrency and Computation Practice and Experience. 33(7). 1–1. 7 indexed citations
19.
Distefano, Salvatore, Dario Bruneo, Francesco Longo, Giovanni Merlino, & Antonio Puliafito. (2016). Hospitalized Patient Monitoring and Early Treatment Using IoT and Cloud. BioNanoScience. 7(2). 382–385. 13 indexed citations
20.
Distefano, Salvatore, Dario Bruneo, Francesco Longo, Giovanni Merlino, & Antonio Puliafito. (2016). Personalized Health Tracking with Edge Computing Technologies. BioNanoScience. 7(2). 439–441. 4 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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