Alexandre da Silva Veith
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- Marcos Dias de AssunçãoRajkumar BuyyaLaurent LefèvreEyal de LaraMoshe GabelMaryam EbrahimiEdison Pignaton de FreitasÁlvaro Lozano Murciego
- Topics
- Cloud Computing and Resource Management (7 papers)IoT and Edge/Fog Computing (5 papers)Data Stream Mining Techniques (4 papers)
In The Last Decade
Alexandre da Silva Veith
12 papers receiving 265 citations
Peers
Comparison fields: 5 of 50
- Computer Networks and Communications 216
- Information Systems 165
- Artificial Intelligence 78
- Computer Vision and Pattern Recognition 38
- Electrical and Electronic Engineering 31
Countries citing papers authored by Alexandre da Silva Veith
This map shows the geographic impact of Alexandre da Silva Veith'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 Alexandre da Silva Veith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre da Silva Veith more than expected).
Fields of papers citing papers by Alexandre da Silva Veith
This network shows the impact of papers produced by Alexandre da Silva Veith. 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 Alexandre da Silva Veith. The network helps show where Alexandre da Silva Veith may publish in the future.
Co-authorship network of co-authors of Alexandre da Silva Veith
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre da Silva Veith. A scholar is included among the top collaborators of Alexandre da Silva Veith 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 Alexandre da Silva Veith. Alexandre da Silva Veith 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 | 8 | |
| 4 | 12 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 3 | |
| 10 | Resource Elasticity for Distributed Data Stream Processing: A Survey and Future Directions. | 7 |
| 11 | 200 | |
| 12 | Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments | 1 |
| 13 | 2 |
About Alexandre da Silva Veith
Alexandre da Silva Veith is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 13 papers that have together received 275 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), IoT and Edge/Fog Computing (5 papers) and Data Stream Mining Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (216 citations), Information Systems (165 citations) and Artificial Intelligence (78 citations). Alexandre da Silva Veith has collaborated with scholars based in Canada, Brazil and France. Frequent co-authors include Marcos Dias de Assunção, Rajkumar Buyya, Laurent Lefèvre, Eyal de Lara, Moshe Gabel, Maryam Ebrahimi, Edison Pignaton de Freitas, Álvaro Lozano Murciego, Julio César Santos dos Anjos and Cláudio F. R. Geyer. Their work appears in journals such as IEEE Access, Journal of Network and Computer Applications and IEEE Transactions on Cloud Computing.
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.