Carlo Puliafito
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Co-authors
- Enzo MingozziFrancesco LongoAntonio PuliafitoOmer RanaGiovanni MerlinoGiuseppe AnastasiCarlo VallatiAntonio Virdis
- Topics
- IoT and Edge/Fog Computing (26 papers)Cloud Computing and Resource Management (11 papers)Context-Aware Activity Recognition Systems (9 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- ItalyUnited KingdomBrazil
In The Last Decade
Carlo Puliafito
28 papers receiving 691 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 620
- Information Systems 318
- Electrical and Electronic Engineering 193
- Computer Vision and Pattern Recognition 147
- Artificial Intelligence 54
Countries citing papers authored by Carlo Puliafito
This map shows the geographic impact of Carlo Puliafito'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 Carlo Puliafito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Puliafito more than expected).
Fields of papers citing papers by Carlo Puliafito
This network shows the impact of papers produced by Carlo Puliafito. 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 Carlo Puliafito. The network helps show where Carlo Puliafito may publish in the future.
Co-authorship network of co-authors of Carlo Puliafito
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Puliafito. A scholar is included among the top collaborators of Carlo Puliafito 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 Carlo Puliafito. Carlo Puliafito 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 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 18 | |
| 13 | 87 | |
| 14 | 229 | |
| 15 | 99 | |
| 16 | 60 | |
| 17 | 22 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 71 |
About Carlo Puliafito
Carlo Puliafito is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 709 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (26 papers), Cloud Computing and Resource Management (11 papers) and Context-Aware Activity Recognition Systems (9 papers). The work is most often cited by research in Computer Networks and Communications (620 citations), Information Systems (318 citations) and Computer Vision and Pattern Recognition (147 citations). Carlo Puliafito has collaborated with scholars based in Italy, United Kingdom and Brazil. Frequent co-authors include Enzo Mingozzi, Francesco Longo, Antonio Puliafito, Omer Rana, Giovanni Merlino, Giuseppe Anastasi, Carlo Vallati, Antonio Virdis, Luiz F. Bittencourt and Edmundo R. M. Madeira. Their work appears in journals such as Sensors, Computer and Future Generation Computer Systems.
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.