Bruno Costa Rendon
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Stratis IoannidisKaushik ChowdhuryJennifer DyTong JianNasim SoltaniFrancesco RestucciaTommaso MelodiaSalvatore D’Oro
- Topics
- Wireless Signal Modulation Classification (6 papers)Bacillus and Francisella bacterial research (2 papers)Adversarial Robustness in Machine Learning (2 papers)
- Journals
- IEEE Transactions on Wireless CommunicationsComputer NetworksIEEE Internet of Things Magazine
- Partner nations
- United StatesMexico
In The Last Decade
Bruno Costa Rendon
5 papers receiving 410 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 365
- Electrical and Electronic Engineering 180
- Signal Processing 122
- Aerospace Engineering 111
- Computer Vision and Pattern Recognition 82
Countries citing papers authored by Bruno Costa Rendon
This map shows the geographic impact of Bruno Costa Rendon'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 Bruno Costa Rendon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Costa Rendon more than expected).
Fields of papers citing papers by Bruno Costa Rendon
This network shows the impact of papers produced by Bruno Costa Rendon. 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 Bruno Costa Rendon. The network helps show where Bruno Costa Rendon may publish in the future.
Co-authorship network of co-authors of Bruno Costa Rendon
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Costa Rendon. A scholar is included among the top collaborators of Bruno Costa Rendon 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 Bruno Costa Rendon. Bruno Costa Rendon 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 | 22 | |
| 3 | 171 | |
| 4 | 199 | |
| 5 | 17 | |
| 6 | 13 |
About Bruno Costa Rendon
Bruno Costa Rendon is a scholar working on Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 6 papers that have together received 422 indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (6 papers), Bacillus and Francisella bacterial research (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Artificial Intelligence (365 citations), Signal Processing (122 citations) and Aerospace Engineering (111 citations). Bruno Costa Rendon has collaborated with scholars based in United States and Mexico. Frequent co-authors include Stratis Ioannidis, Kaushik Chowdhury, Jennifer Dy, Tong Jian, Nasim Soltani, Francesco Restuccia, Tommaso Melodia, Salvatore D’Oro, Amani Al-Shawabka and Andrey Gritsenko. Their work appears in journals such as IEEE Transactions on Wireless Communications, Computer Networks and IEEE Internet of Things Magazine.
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.