Reza Akbarinia
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Patrick ValduriezEsther PacittiFlorent MasségliaThemis PalpanasDivyakant AgrawalHamideh AfsarmaneshDennis ShashaBettina Kemme
- Topics
- Data Management and Algorithms (19 papers)Peer-to-Peer Network Technologies (16 papers)Caching and Content Delivery (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaInformation SciencesIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- FranceBrazilUnited States
In The Last Decade
Reza Akbarinia
41 papers receiving 406 citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 231
- Signal Processing 224
- Artificial Intelligence 121
- Information Systems 80
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Reza Akbarinia
This map shows the geographic impact of Reza Akbarinia'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 Reza Akbarinia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reza Akbarinia more than expected).
Fields of papers citing papers by Reza Akbarinia
This network shows the impact of papers produced by Reza Akbarinia. 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 Reza Akbarinia. The network helps show where Reza Akbarinia may publish in the future.
Co-authorship network of co-authors of Reza Akbarinia
This figure shows the co-authorship network connecting the top 25 collaborators of Reza Akbarinia. A scholar is included among the top collaborators of Reza Akbarinia 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 Reza Akbarinia. Reza Akbarinia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 19 | |
| 7 | 13 | |
| 8 | Scientific data analysis using data-intensive scalable computing: The SciDISC project | 3 |
| 9 | 5 | |
| 10 | 1 | |
| 11 | Top-k Query Processing Over Outsourced Encrypted Data | 1 |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | Data Access in Dynamic Distributed Systems: Basics, Concepts and Techniques of P2P Query Processing | 0 |
| 17 | Best position algorithms for top-k queries | 64 |
| 18 | 21 | |
| 19 | An Efficient Mechanism for Processing Top-k Queries in DHTs | 1 |
| 20 | Design and Implementation of Atlas P2P Architecture | 5 |
About Reza Akbarinia
Reza Akbarinia is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 51 papers that have together received 428 indexed citations. Recurring topics across this work include Data Management and Algorithms (19 papers), Peer-to-Peer Network Technologies (16 papers) and Caching and Content Delivery (13 papers). The work is most often cited by research in Signal Processing (224 citations), Computer Networks and Communications (231 citations) and Artificial Intelligence (121 citations). Reza Akbarinia has collaborated with scholars based in France, Brazil and United States. Frequent co-authors include Patrick Valduriez, Esther Pacitti, Florent Masséglia, Themis Palpanas, Divyakant Agrawal, Hamideh Afsarmanesh, Dennis Shasha, Bettina Kemme, Jean‐Michel Roger and Wenceslao Palma. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.
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.