João Paulo
- Information Systems top 5%
- Cloud Data Security Solutions 12
- Cloud Computing and Resource Management 9
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- Advanced Data Storage Technologies 20
- Caching and Content Delivery 6
- Distributed systems and fault tolerance 5
- Distributed and Parallel Computing Systems 4
- Artificial Intelligence top 10%
- Cryptography and Data Security 7
- Privacy-Preserving Technologies in Data 7
João Paulo
31 papers receiving 316 citations
Peers
Comparison fields: 5 of 42
- Information Systems 211
- Computer Networks and Communications 203
- Artificial Intelligence 102
- Hardware and Architecture 17
- Management Science and Operations Research 17
Countries citing papers authored by João Paulo
This map shows the geographic impact of João Paulo'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 João Paulo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Paulo more than expected).
Fields of papers citing papers by João Paulo
This network shows the impact of papers produced by João Paulo. 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 João Paulo. The network helps show where João Paulo may publish in the future.
Co-authorship network
The 21 scholars most cited alongside João Paulo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 1 | |
| 13 | 2017 | 8 | |
| 14 | 2017 | 14 | |
| 15 | 2016 | 3 | |
| 16 | Towards an accurate evaluation of deduplicated storage systems | 2013 | 2 |
| 17 | BIG DATA: A CASE STUDY ON DATA FROM THE BRAZILIAN MINISTRY OF PLANNING, BUDGETING AND MANAGEMENT | 2013 | 3 |
| 18 | 2013 | 46 | |
| 19 | Model Checking a Decentralized Storage Deduplication Protocol | 2011 | 2 |
| 20 | Modelagem de distorções entre realizações de referenciais geodésicos | 2007 | 1 |
About João Paulo
João Paulo is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 34 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (20 papers), Cloud Data Security Solutions (12 papers), Cloud Computing and Resource Management (9 papers), Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (7 papers), Caching and Content Delivery (6 papers), Distributed systems and fault tolerance (5 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Information Systems (211 citations), Computer Networks and Communications (203 citations) and Artificial Intelligence (102 citations). João Paulo has collaborated with scholars based in Portugal, Brazil and United Kingdom. Frequent co-authors include José Pereira, Pedro Dinis Gaspar, Rui Oliveira, Miguel Matos, Alysson Bessani, Hugues Mercier, Valerio Schiavoni, Pascal Felber, Cláudia Brito and Pedro G. Ferreira. Their work appears in journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Computers.
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.