Gustavo Marfia
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Transportation top 2%
- Co-authors
- Marco RoccettiGiovanni PauMário GerlaAlessandro AmorosoClaudio E. PalazziLorenzo DonatielloVaskar RaychoudhuryCecilia Mascolo
- Topics
- Opportunistic and Delay-Tolerant Networks (28 papers)Vehicular Ad Hoc Networks (VANETs) (24 papers)Mobile Ad Hoc Networks (20 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Gustavo Marfia
124 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 117
- Computer Networks and Communications 738
- Electrical and Electronic Engineering 537
- Computer Vision and Pattern Recognition 293
- Human-Computer Interaction 195
- Transportation 184
Countries citing papers authored by Gustavo Marfia
This map shows the geographic impact of Gustavo Marfia'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 Gustavo Marfia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gustavo Marfia more than expected).
Fields of papers citing papers by Gustavo Marfia
This network shows the impact of papers produced by Gustavo Marfia. 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 Gustavo Marfia. The network helps show where Gustavo Marfia may publish in the future.
Co-authorship network of co-authors of Gustavo Marfia
This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo Marfia. A scholar is included among the top collaborators of Gustavo Marfia 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 Gustavo Marfia. Gustavo Marfia 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 | 1 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 31 | |
| 12 | Some remarks on aesthetics and computer science | 3 |
| 13 | 49 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 7 |
About Gustavo Marfia
Gustavo Marfia is a scholar working on Human-Computer Interaction, Museology and Computer Networks and Communications, having authored 133 papers that have together received 1.7k indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (28 papers), Vehicular Ad Hoc Networks (VANETs) (24 papers) and Mobile Ad Hoc Networks (20 papers). The work is most often cited by research in Human-Computer Interaction (195 citations), Computer Networks and Communications (738 citations) and Transportation (184 citations). Gustavo Marfia has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Marco Roccetti, Giovanni Pau, Mário Gerla, Alessandro Amoroso, Claudio E. Palazzi, Lorenzo Donatiello, Vaskar Raychoudhury, Cecilia Mascolo, David R. Mack and Ilias Leontiadis. Their work appears in journals such as PLoS ONE, Scientific Reports and Communications of the ACM.
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.