Marco Zappatore
- Computer Science Applications top 2%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Antonella LongoMario A. BochicchioLuciano TarriconeAlessandra EspositoShamkant B. NavatheRiccardo ColellaLuca CatarinucciHu Lu
- Topics
- Mobile Crowdsensing and Crowdsourcing (18 papers)Semantic Web and Ontologies (8 papers)IoT and Edge/Fog Computing (7 papers)
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Marco Zappatore
68 papers receiving 508 citations
Peers
Comparison fields: 5 of 89
- Computer Science Applications 125
- Artificial Intelligence 104
- Computer Networks and Communications 99
- Information Systems 96
- Electrical and Electronic Engineering 88
Countries citing papers authored by Marco Zappatore
This map shows the geographic impact of Marco Zappatore'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 Marco Zappatore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Zappatore more than expected).
Fields of papers citing papers by Marco Zappatore
This network shows the impact of papers produced by Marco Zappatore. 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 Marco Zappatore. The network helps show where Marco Zappatore may publish in the future.
Co-authorship network of co-authors of Marco Zappatore
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Zappatore. A scholar is included among the top collaborators of Marco Zappatore 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 Marco Zappatore. Marco Zappatore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 19 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 16 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 13 | |
| 12 | Challenges for Air Pollution Monitoring: A Cyber-Physical Social Systems Approach. | 1 |
| 13 | Multidimensional Mining over Big Healthcare Data: A Big Data Analytics Framework. | 0 |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Modeling Service Dynamics: a Case Study. | 0 |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 29 |
About Marco Zappatore
Marco Zappatore is a scholar working on Computer Science Applications, Media Technology and Transportation, having authored 74 papers that have together received 524 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (18 papers), Semantic Web and Ontologies (8 papers) and IoT and Edge/Fog Computing (7 papers). The work is most often cited by research in Computer Science Applications (125 citations), Transportation (76 citations) and Media Technology (75 citations). Marco Zappatore has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Antonella Longo, Mario A. Bochicchio, Luciano Tarricone, Alessandra Esposito, Shamkant B. Navathe, Riccardo Colella, Luca Catarinucci, Hu Lu, A. De Matteis and Shaohua Wan. Their work appears in journals such as IEEE Access, Future Generation Computer Systems and Journal of Medical 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.