Oriana Riva
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Co-authors
- Karin StraußCristian BorceaDimitrios LymberopoulosSuman NathChuan QinLiviu IftodeTamer NadeemToby Jia-Jun Li
- Topics
- Opportunistic and Delay-Tolerant Networks (18 papers)Context-Aware Activity Recognition Systems (11 papers)Caching and Content Delivery (8 papers)
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Oriana Riva
39 papers receiving 670 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 383
- Information Systems 268
- Computer Vision and Pattern Recognition 186
- Electrical and Electronic Engineering 181
- Signal Processing 145
Countries citing papers authored by Oriana Riva
This map shows the geographic impact of Oriana Riva'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 Oriana Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oriana Riva more than expected).
Fields of papers citing papers by Oriana Riva
This network shows the impact of papers produced by Oriana Riva. 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 Oriana Riva. The network helps show where Oriana Riva may publish in the future.
Co-authorship network of co-authors of Oriana Riva
This figure shows the co-authorship network connecting the top 25 collaborators of Oriana Riva. A scholar is included among the top collaborators of Oriana Riva 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 Oriana Riva. Oriana Riva 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 | 2 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | My OS ought to know me better: in-app behavioural analytics as an OS service | 2 |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 45 | |
| 10 | Progressive authentication: deciding when to authenticate on mobile phones | 97 |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 43 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 3 | |
| 18 | 43 | |
| 19 | 9 | |
| 20 | 12 |
About Oriana Riva
Oriana Riva is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 40 papers that have together received 716 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (18 papers), Context-Aware Activity Recognition Systems (11 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Computer Networks and Communications (383 citations), Human-Computer Interaction (78 citations) and Signal Processing (145 citations). Oriana Riva has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Karin Strauß, Cristian Borcea, Dimitrios Lymberopoulos, Suman Nath, Chuan Qin, Liviu Iftode, Tamer Nadeem, Toby Jia-Jun Li, Gustavo Alonso and Prashanth Mohan. Their work appears in journals such as Computer, IEEE Transactions on Mobile Computing and Proceedings of the VLDB Endowment.
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.