Vasco Pereira
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Jorge BernardinoGonçalo CarvalhoBruno CabralJorge Sá SilvaFernando BoavidaAndré RodriguesDuarte RaposoBruno Sousa
- Topics
- IoT and Edge/Fog Computing (15 papers)Energy Efficient Wireless Sensor Networks (8 papers)Context-Aware Activity Recognition Systems (6 papers)
- Cited by
- Computer Networks and CommunicationsIndustrial and Manufacturing EngineeringInformation Systems
- Journals
- SHILAP Revista de lepidopterologíaIEEE Communications Surveys & TutorialsIEEE Access
In The Last Decade
Vasco Pereira
34 papers receiving 473 citations
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 324
- Electrical and Electronic Engineering 138
- Information Systems 119
- Computer Vision and Pattern Recognition 74
- Industrial and Manufacturing Engineering 56
Countries citing papers authored by Vasco Pereira
This map shows the geographic impact of Vasco Pereira'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 Vasco Pereira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasco Pereira more than expected).
Fields of papers citing papers by Vasco Pereira
This network shows the impact of papers produced by Vasco Pereira. 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 Vasco Pereira. The network helps show where Vasco Pereira may publish in the future.
Co-authorship network of co-authors of Vasco Pereira
This figure shows the co-authorship network connecting the top 25 collaborators of Vasco Pereira. A scholar is included among the top collaborators of Vasco Pereira 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 Vasco Pereira. Vasco Pereira 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 44 | |
| 9 | 1 | |
| 10 | 19 | |
| 11 | 15 | |
| 12 | 51 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | Reliability in Wireless Sensor Networks for Environment Monitoring | 0 |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | Laboratórios virtuais: duas aplicações no ensino de engenharia | 1 |
About Vasco Pereira
Vasco Pereira is a scholar working on Computer Networks and Communications, Computer Science Applications and Industrial and Manufacturing Engineering, having authored 38 papers that have together received 495 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), Energy Efficient Wireless Sensor Networks (8 papers) and Context-Aware Activity Recognition Systems (6 papers). The work is most often cited by research in Computer Networks and Communications (324 citations), Industrial and Manufacturing Engineering (56 citations) and Information Systems (119 citations). Vasco Pereira has collaborated with scholars based in Portugal, Ecuador and Brazil. Frequent co-authors include Jorge Bernardino, Gonçalo Carvalho, Bruno Cabral, Jorge Sá Silva, Fernando Boavida, André Rodrigues, Duarte Raposo, Bruno Sousa, Tiago Cruz and Nuno Lourenço. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.
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.