Francesco Longo
- Computer Networks and Communications top 0.5%
- Information Systems top 0.5%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Co-authors
- Antonio PuliafitoGiovanni MerlinoSalvatore DistefanoDario BruneoNachiket TapasAlfonso PanarelloRahul GhoshCarlo Puliafito
- Topics
- IoT and Edge/Fog Computing (68 papers)Cloud Computing and Resource Management (35 papers)Context-Aware Activity Recognition Systems (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- ItalyRussiaUnited States
In The Last Decade
Francesco Longo
116 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Computer Networks and Communications 1.8k
- Information Systems 1.4k
- Electrical and Electronic Engineering 348
- Computer Vision and Pattern Recognition 315
- Artificial Intelligence 271
Countries citing papers authored by Francesco Longo
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 87 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 60 | |
| 17 | Blockchain and IoT Integration: A Systematic Surveybreakdown → | 467 |
| 18 | 2 | |
| 19 | 13 | |
| 20 | 4 |
About Francesco Longo
Francesco Longo is a scholar working on Computer Networks and Communications, Computer Science Applications and Information Systems, having authored 125 papers that have together received 2.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (68 papers), Cloud Computing and Resource Management (35 papers) and Context-Aware Activity Recognition Systems (24 papers). The work is most often cited by research in Computer Networks and Communications (1.8k citations), Information Systems (1.4k citations) and Software (76 citations). Francesco Longo has collaborated with scholars based in Italy, Russia and United States. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.