Rodrigo C. de Lamare
- Signal Processing top 0.1%
- Speech and Audio Processing 104
- Direction-of-Arrival Estimation Techniques 102
- Blind Source Separation Techniques 71
- Computational Mechanics top 0.2%
- Advanced Adaptive Filtering Techniques 178
- Computer Networks and Communications top 0.5%
- Cooperative Communication and Network Coding 131
- Wireless Communication Networks Research 95
- Computational Mathematics top 2%
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- Advanced Wireless Communication Techniques 173
- Advanced MIMO Systems Optimization 134
- Co-authors
- Raimundo Sampaio‐NetoRui FaMartin HaardtYi YuLukas T. N. LandauKeke ZuVítor H. NascimentoYunlong Cai
- Journals
- IEEE Transactions on Signal Processing (22 papers)IEEE Access (13 papers)IEEE Transactions on Communications (26 papers)
- Partner nations
- United KingdomBrazilChina
In The Last Decade
Rodrigo C. de Lamare
450 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 84
- Signal Processing 2.3k
- Computational Mechanics 2.2k
- Computer Networks and Communications 1.9k
- Computational Mathematics 47
- Electrical and Electronic Engineering 2.8k
Countries citing papers authored by Rodrigo C. de Lamare
This map shows the geographic impact of Rodrigo C. de Lamare'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 Rodrigo C. de Lamare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodrigo C. de Lamare more than expected).
Fields of papers citing papers by Rodrigo C. de Lamare
This network shows the impact of papers produced by Rodrigo C. de Lamare. 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 Rodrigo C. de Lamare. The network helps show where Rodrigo C. de Lamare may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rodrigo C. de Lamare, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 14 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 14 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 27 | |
| 17 | 2019 | 17 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 38 | |
| 20 | 2016 | 62 |
About Rodrigo C. de Lamare
Rodrigo C. de Lamare is a scholar working on Signal Processing, Computer Networks and Communications and Computational Mechanics, having authored 483 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (178 papers), Advanced Wireless Communication Techniques (173 papers), Advanced MIMO Systems Optimization (134 papers), Cooperative Communication and Network Coding (131 papers), Speech and Audio Processing (104 papers), Direction-of-Arrival Estimation Techniques (102 papers), Wireless Communication Networks Research (95 papers) and Blind Source Separation Techniques (71 papers). The work is most often cited by research in Signal Processing (2.3k citations), Computational Mechanics (2.2k citations) and Computer Networks and Communications (1.9k citations). Rodrigo C. de Lamare has collaborated with scholars based in United Kingdom, Brazil and China. Frequent co-authors include Raimundo Sampaio‐Neto, Rui Fa, Martin Haardt, Yi Yu, Lukas T. N. Landau, Keke Zu, Vítor H. Nascimento, Yunlong Cai, Zhaocheng Yang and Lu Lu. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Transactions on Communications.
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.