Charles C. Cavalcante
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Aerospace Engineering
- Artificial Intelligence
- Co-authors
- Daniel Benevides da CostaXingwang LiGeorge K. KaragiannidisTheodoros A. TsiftsisRicardo SuyamaRomis AttuxJoão Marcos Travassos RomanoKhaled M. Rabie
- Topics
- Advanced MIMO Systems Optimization (23 papers)Blind Source Separation Techniques (19 papers)Cooperative Communication and Network Coding (19 papers)
- Journals
- IEEE AccessIEEE Transactions on Wireless CommunicationsIEEE Transactions on Vehicular Technology
- Partner nations
- BrazilUnited StatesChina
In The Last Decade
Charles C. Cavalcante
73 papers receiving 533 citations
Peers
Comparison fields: 5 of 59
- Electrical and Electronic Engineering 324
- Computer Networks and Communications 195
- Signal Processing 103
- Aerospace Engineering 82
- Artificial Intelligence 77
Countries citing papers authored by Charles C. Cavalcante
This map shows the geographic impact of Charles C. Cavalcante'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 Charles C. Cavalcante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles C. Cavalcante more than expected).
Fields of papers citing papers by Charles C. Cavalcante
This network shows the impact of papers produced by Charles C. Cavalcante. 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 Charles C. Cavalcante. The network helps show where Charles C. Cavalcante may publish in the future.
Co-authorship network of co-authors of Charles C. Cavalcante
This figure shows the co-authorship network connecting the top 25 collaborators of Charles C. Cavalcante. A scholar is included among the top collaborators of Charles C. Cavalcante 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 Charles C. Cavalcante. Charles C. Cavalcante 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 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 56 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | Maximum Likelihood Channel Estimation for Millimeter-Wave MIMO Systems with Hybrid Beamforming | 3 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 97 | |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 4 |
About Charles C. Cavalcante
Charles C. Cavalcante is a scholar working on Signal Processing, Computational Mathematics and Computer Networks and Communications, having authored 82 papers that have together received 549 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (23 papers), Blind Source Separation Techniques (19 papers) and Cooperative Communication and Network Coding (19 papers). The work is most often cited by research in Computational Mathematics (6 citations), Signal Processing (103 citations) and Computer Networks and Communications (195 citations). Charles C. Cavalcante has collaborated with scholars based in Brazil, United States and China. Frequent co-authors include Daniel Benevides da Costa, Xingwang Li, George K. Karagiannidis, Theodoros A. Tsiftsis, Ricardo Suyama, Romis Attux, João Marcos Travassos Romano, Khaled M. Rabie, André L. F. de Almeida and João Mota. Their work appears in journals such as IEEE Access, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.
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.