Daniel F. Macedo
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- José Marcos S. NogueiraAntônio A. F. LoureiroAldri SantosLuiz H. A. CorreiaMarcos A. M. VieiraIvanovitch SilvaLuiz Affonso GuedesLuiz F. M. Vieira
- Topics
- Mobile Ad Hoc Networks (32 papers)Opportunistic and Delay-Tolerant Networks (21 papers)Wireless Networks and Protocols (20 papers)
In The Last Decade
Daniel F. Macedo
78 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 65
- Computer Networks and Communications 983
- Electrical and Electronic Engineering 502
- Information Systems 138
- Computer Vision and Pattern Recognition 109
- Artificial Intelligence 78
Countries citing papers authored by Daniel F. Macedo
This map shows the geographic impact of Daniel F. Macedo'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 Daniel F. Macedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Macedo more than expected).
Fields of papers citing papers by Daniel F. Macedo
This network shows the impact of papers produced by Daniel F. Macedo. 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 Daniel F. Macedo. The network helps show where Daniel F. Macedo may publish in the future.
Co-authorship network of co-authors of Daniel F. Macedo
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Macedo. A scholar is included among the top collaborators of Daniel F. Macedo 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 Daniel F. Macedo. Daniel F. Macedo 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 20 | |
| 10 | QoE-Aware Container Scheduler for Co-located Cloud Environments | 5 |
| 11 | Automatic Quality of Experience Management for WLAN Networks using Multi-Armed Bandit | 10 |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 35 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | Management architecture and systems for future internet networks | 7 |
| 19 | 102 | |
| 20 | 1 |
About Daniel F. Macedo
Daniel F. Macedo is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 95 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (32 papers), Opportunistic and Delay-Tolerant Networks (21 papers) and Wireless Networks and Protocols (20 papers). The work is most often cited by research in Computer Networks and Communications (983 citations), Electrical and Electronic Engineering (502 citations) and Information Systems (138 citations). Daniel F. Macedo has collaborated with scholars based in Brazil, France and Belgium. Frequent co-authors include José Marcos S. Nogueira, Antônio A. F. Loureiro, Aldri Santos, Luiz H. A. Correia, Marcos A. M. Vieira, Ivanovitch Silva, Luiz Affonso Guedes, Luiz F. M. Vieira, Rami Langar and Stefano Secci. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Information Fusion and Computer Networks.
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.