Éverton de Matos
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Fabiano HesselRamão Tiago TiburskiLeonardo Albernaz AmaralMarcelo Veiga NevesBhaskar KrishnamachariGowri RamachandranSabrina MarczakWillian T. Lunardi
- Topics
- IoT and Edge/Fog Computing (17 papers)Context-Aware Activity Recognition Systems (9 papers)Cloud Data Security Solutions (4 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- BrazilUnited Arab EmiratesUnited States
In The Last Decade
Éverton de Matos
20 papers receiving 288 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 227
- Information Systems 120
- Computer Vision and Pattern Recognition 83
- Artificial Intelligence 54
- Electrical and Electronic Engineering 51
Countries citing papers authored by Éverton de Matos
This map shows the geographic impact of Éverton de Matos'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 Éverton de Matos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éverton de Matos more than expected).
Fields of papers citing papers by Éverton de Matos
This network shows the impact of papers produced by Éverton de Matos. 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 Éverton de Matos. The network helps show where Éverton de Matos may publish in the future.
Co-authorship network of co-authors of Éverton de Matos
This figure shows the co-authorship network connecting the top 25 collaborators of Éverton de Matos. A scholar is included among the top collaborators of Éverton de Matos 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 Éverton de Matos. Éverton de Matos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 58 | |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 24 | |
| 16 | 17 | |
| 17 | 28 | |
| 18 | 15 | |
| 19 | 42 | |
| 20 | 5 |
About Éverton de Matos
Éverton de Matos is a scholar working on Computer Networks and Communications, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 298 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (17 papers), Context-Aware Activity Recognition Systems (9 papers) and Cloud Data Security Solutions (4 papers). The work is most often cited by research in Computer Networks and Communications (227 citations), Information Systems (120 citations) and Computer Vision and Pattern Recognition (83 citations). Éverton de Matos has collaborated with scholars based in Brazil, United Arab Emirates and United States. Frequent co-authors include Fabiano Hessel, Ramão Tiago Tiburski, Leonardo Albernaz Amaral, Marcelo Veiga Neves, Bhaskar Krishnamachari, Gowri Ramachandran, Sabrina Marczak, Willian T. Lunardi, Eduardo K. Viegas and Altair O. Santin. Their work appears in journals such as IEEE Communications Magazine, IEEE Internet of Things Journal 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.