Fabíola Greve
Impact in
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- IoT and Edge/Fog Computing
- Distributed systems and fault tolerance
- Age of Information Optimization
- Caching and Content Delivery
- Optimization and Search Problems
- Information Systems top 10%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
Papers in
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- Distributed systems and fault tolerance 13
- IoT and Edge/Fog Computing 10
- Optimization and Search Problems 7
- Age of Information Optimization 5
- Caching and Content Delivery 4
- Energy Efficient Wireless Sensor Networks 2
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- Blockchain Technology Applications and Security 6
- Cloud Computing and Resource Management 4
- Co-authors
- Cássio Prazeres (3 shared papers)João M. P. Cardoso (1 shared paper)Sébastien Tixeuil (2 shared papers)Michel Hurfin (6 shared papers)Pierre Sens (2 shared papers)Luciana Arantes (2 shared papers)Vilmos Simon (1 shared paper)Michel Raynal (2 shared papers)
In The Last Decade
Fabíola Greve
28 papers receiving 168 citations
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 142
- Information Systems 62
- Horticulture 2
- Computer Science Applications 7
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by Fabíola Greve
This map shows the geographic impact of Fabíola Greve'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 Fabíola Greve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabíola Greve more than expected).
Fields of papers citing papers by Fabíola Greve
This network shows the impact of papers produced by Fabíola Greve. 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 Fabíola Greve. The network helps show where Fabíola Greve may publish in the future.
Co-authors
The 20 scholars most cited alongside Fabíola Greve, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 55 | |
| 2 | 2007 | 23 | |
| 3 | 2012 | 12 | |
| 4 | 2022 | 8 | |
| 5 | Blockchain e a Revolução do Consenso sob Demanda | 2018 | 6 |
| 6 | 2016 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 5 | |
| 9 | 2018 | 5 | |
| 10 | 2018 | 5 | |
| 11 | 2002 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2004 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2005 | 3 | |
| 16 | 2002 | 3 | |
| 17 | 2010 | 3 | |
| 18 | 2002 | 3 | |
| 19 | 2007 | 3 | |
| 20 | 2007 | 2 |
About Fabíola Greve
Fabíola Greve is a scholar working on Computer Networks and Communications, Information Systems, Computational Theory and Mathematics, Artificial Intelligence and Computer Science Applications, having authored 32 papers that have together received 177 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (13 papers), IoT and Edge/Fog Computing (10 papers), Optimization and Search Problems (7 papers), Blockchain Technology Applications and Security (6 papers), Age of Information Optimization (5 papers), Caching and Content Delivery (4 papers), Cloud Computing and Resource Management (4 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (142 citations), Information Systems (62 citations), Horticulture (2 citations), Computer Science Applications (7 citations) and Computer Vision and Pattern Recognition (26 citations). Fabíola Greve has collaborated with scholars based in Brazil, France and Canada. Frequent co-authors include Cássio Prazeres, João M. P. Cardoso, Sébastien Tixeuil, Michel Hurfin, Pierre Sens, Luciana Arantes, Vilmos Simon, Michel Raynal, Francisco Brasileiro and Eduardo Alchieri. Their work appears in journals such as The Computer Journal, Sensors, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Computers and Lecture notes in computer science.
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.