Daniela Gavidia
- Computer Networks and Communications top 5%
- Information Systems top 10%
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Maarten van SteenSpyros VoulgarisRoy FriedmanAline Carneiro VianaLuı́s RodriguesWan FokkinkRena BakhshiBoris Koldehofe
- Topics
- Opportunistic and Delay-Tolerant Networks (8 papers)Mobile Ad Hoc Networks (6 papers)Peer-to-Peer Network Technologies (4 papers)
- Journals
- Computer NetworksACM SIGOPS Operating Systems ReviewJournal of Network and Systems Management
- Partner nations
- NetherlandsPortugalSwitzerland
In The Last Decade
Daniela Gavidia
10 papers receiving 371 citations
Peers
Comparison fields: 5 of 29
- Computer Networks and Communications 394
- Information Systems 75
- Statistical and Nonlinear Physics 47
- Artificial Intelligence 45
- Electrical and Electronic Engineering 29
Countries citing papers authored by Daniela Gavidia
This map shows the geographic impact of Daniela Gavidia'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 Daniela Gavidia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gavidia more than expected).
Fields of papers citing papers by Daniela Gavidia
This network shows the impact of papers produced by Daniela Gavidia. 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 Daniela Gavidia. The network helps show where Daniela Gavidia may publish in the future.
Co-authorship network of co-authors of Daniela Gavidia
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Gavidia. A scholar is included among the top collaborators of Daniela Gavidia 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 Daniela Gavidia. Daniela Gavidia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 18 | |
| 3 | 15 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 40 | |
| 8 | A Gossip-based Distributed News Service for Wireless Mesh Networks | 20 |
| 9 | 292 | |
| 10 | Epidemic-Style Monitoring in Large-Scale Wireless Sensor Networks | 8 |
About Daniela Gavidia
Daniela Gavidia is a scholar working on Computer Networks and Communications, Mathematical Physics and Statistical and Nonlinear Physics, having authored 10 papers that have together received 419 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (8 papers), Mobile Ad Hoc Networks (6 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (394 citations), Statistical and Nonlinear Physics (47 citations) and Information Systems (75 citations). Daniela Gavidia has collaborated with scholars based in Netherlands, Portugal and Switzerland. Frequent co-authors include Maarten van Steen, Spyros Voulgaris, Roy Friedman, Aline Carneiro Viana, Luı́s Rodrigues, Wan Fokkink, Rena Bakhshi, Boris Koldehofe, Oriana Riva and Hugo Miranda. Their work appears in journals such as Computer Networks, ACM SIGOPS Operating Systems Review and Journal of Network and Systems Management.
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.