Antonio Di Maio
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Atomic and Molecular Physics, and Optics
- Co-authors
- Torsten BraunMaria Rita PalattellaThomas EngelRidha SouaPietro FerraroPaolo De NataleStefano CarlinoM. Salza
- Topics
- IoT and Edge/Fog Computing (8 papers)Vehicular Ad Hoc Networks (VANETs) (8 papers)Opportunistic and Delay-Tolerant Networks (6 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersSensors
- Partner nations
- SwitzerlandLuxembourgItaly
In The Last Decade
Antonio Di Maio
32 papers receiving 352 citations
Peers
Comparison fields: 5 of 71
- Electrical and Electronic Engineering 192
- Computer Networks and Communications 157
- Artificial Intelligence 77
- Computer Vision and Pattern Recognition 44
- Atomic and Molecular Physics, and Optics 43
Countries citing papers authored by Antonio Di Maio
This map shows the geographic impact of Antonio Di Maio'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 Antonio Di Maio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Di Maio more than expected).
Fields of papers citing papers by Antonio Di Maio
This network shows the impact of papers produced by Antonio Di Maio. 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 Antonio Di Maio. The network helps show where Antonio Di Maio may publish in the future.
Co-authorship network of co-authors of Antonio Di Maio
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Di Maio. A scholar is included among the top collaborators of Antonio Di Maio 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 Antonio Di Maio. Antonio Di Maio 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 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 26 | |
| 15 | 37 | |
| 16 | 46 | |
| 17 | 57 | |
| 18 | 2 | |
| 19 | Light produced in the Fibre bundle/Light guide/PMT region of the Tile Calorimeter prototype | 2 |
| 20 | 21 |
About Antonio Di Maio
Antonio Di Maio is a scholar working on Computer Networks and Communications, Transportation and Electrical and Electronic Engineering, having authored 36 papers that have together received 376 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers) and Opportunistic and Delay-Tolerant Networks (6 papers). The work is most often cited by research in Computer Networks and Communications (157 citations), Electrical and Electronic Engineering (192 citations) and Artificial Intelligence (77 citations). Antonio Di Maio has collaborated with scholars based in Switzerland, Luxembourg and Italy. Frequent co-authors include Torsten Braun, Maria Rita Palattella, Thomas Engel, Ridha Soua, Pietro Ferraro, Paolo De Natale, Stefano Carlino, M. Salza, Giuseppe De Natale and G. Gagliardi. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters 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.