Reza Akbarinia

1.1k total citations
51 papers, 428 citations indexed

About

Reza Akbarinia is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Reza Akbarinia has authored 51 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 24 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in Reza Akbarinia's work include Data Management and Algorithms (19 papers), Peer-to-Peer Network Technologies (16 papers) and Caching and Content Delivery (13 papers). Reza Akbarinia is often cited by papers focused on Data Management and Algorithms (19 papers), Peer-to-Peer Network Technologies (16 papers) and Caching and Content Delivery (13 papers). Reza Akbarinia collaborates with scholars based in France, Brazil and United States. Reza Akbarinia's co-authors include Patrick Valduriez, Esther Pacitti, Florent Masséglia, Themis Palpanas, Divyakant Agrawal, Dennis Shasha, Hamideh Afsarmanesh, Bettina Kemme, Jean‐Michel Roger and Wenceslao Palma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Reza Akbarinia

41 papers receiving 406 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Reza Akbarinia France 11 231 224 121 80 61 51 428
Ajit Kumar India 11 201 0.9× 179 0.8× 157 1.3× 109 1.4× 18 0.3× 30 390
Georges Hébrail France 9 63 0.3× 104 0.5× 129 1.1× 40 0.5× 41 0.7× 23 256
Muhammad Abdul Qadir Pakistan 11 171 0.7× 78 0.3× 194 1.6× 161 2.0× 60 1.0× 93 440
Yunyue Zhu United States 10 127 0.5× 396 1.8× 259 2.1× 71 0.9× 107 1.8× 16 580
Tadeusz Morzy Poland 11 194 0.8× 117 0.5× 134 1.1× 161 2.0× 18 0.3× 38 338
Florent Masséglia France 15 160 0.7× 240 1.1× 244 2.0× 267 3.3× 46 0.8× 55 572
Philipp Kranen Germany 10 101 0.4× 237 1.1× 439 3.6× 82 1.0× 69 1.1× 16 533
Mohamed Zaït United States 13 392 1.7× 371 1.7× 220 1.8× 205 2.6× 104 1.7× 25 630
Tolga Bozkaya United States 8 207 0.9× 479 2.1× 222 1.8× 110 1.4× 274 4.5× 14 601
Sang Kyun South Korea 6 414 1.8× 124 0.6× 85 0.7× 212 2.6× 49 0.8× 12 494

Countries citing papers authored by Reza Akbarinia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Akbarinia, Reza, et al.. (2025). Scalable and accurate online multivariate anomaly detection. Information Systems. 131. 102524–102524.
2.
Pacitti, Esther, Florent Masséglia, Reza Akbarinia, et al.. (2024). SoftED: Metrics for soft evaluation of time series event detection. Computers & Industrial Engineering. 198. 110728–110728. 3 indexed citations
3.
Saldanha, Raphael de Freitas, et al.. (2023). Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning. SPIRE - Sciences Po Institutional REpository. 318–323.
4.
Akbarinia, Reza, et al.. (2023). kNN matrix profile for knowledge discovery from time series. Data Mining and Knowledge Discovery. 3 indexed citations
5.
Ryckewaert, Maxime, et al.. (2021). Massive spectral data analysis for plant breeding using parSketch-PLSDA method: Discrimination of sunflower genotypes. Biosystems Engineering. 210. 69–77. 6 indexed citations
6.
Akbarinia, Reza, et al.. (2020). BestNeighbor: efficient evaluation of kNN queries on large time series databases. Knowledge and Information Systems. 63(2). 349–378. 19 indexed citations
7.
Lesnoff, Matthieu, et al.. (2020). A “big-data” algorithm for KNN-PLS. Chemometrics and Intelligent Laboratory Systems. 203. 104076–104076. 13 indexed citations
8.
Valduriez, Patrick, Marta Mattoso, Reza Akbarinia, et al.. (2018). Scientific data analysis using data-intensive scalable computing: The SciDISC project. SPIRE - Sciences Po Institutional REpository. 2170. 1–8. 3 indexed citations
9.
Akbarinia, Reza, et al.. (2018). Spark-parSketch. SPIRE - Sciences Po Institutional REpository. 1951–1954. 5 indexed citations
10.
Akbarinia, Reza, et al.. (2018). Top-k Query Processing over Distributed Sensitive Data. HAL (Le Centre pour la Communication Scientifique Directe). 208–216. 2 indexed citations
11.
Akbarinia, Reza, et al.. (2017). Top-k Query Processing Over Outsourced Encrypted Data. 24. 1 indexed citations
12.
Pacitti, Esther, Reza Akbarinia, & Roland Wagner. (2017). Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIII. Lecture notes in computer science. 1 indexed citations
13.
Porto, Fábio, et al.. (2014). NACluster: A Non-supervised Clustering Algorithm for Matching Multi Catalogues. HAL (Le Centre pour la Communication Scientifique Directe). 351. 83–86.
14.
Akbarinia, Reza, et al.. (2012). Efficient Evaluation of SUM Queries over Probabilistic Data. IEEE Transactions on Knowledge and Data Engineering. 25(4). 764–775. 8 indexed citations
15.
Pacitti, Esther, et al.. (2012). P2P Techniques for Decentralized Applications. 4 indexed citations
16.
Akbarinia, Reza, et al.. (2010). Scalable P2P Reconciliation Infrastructure for Collaborative Text Editing. HAL (Le Centre pour la Communication Scientifique Directe). 155–164.
17.
Akbarinia, Reza. (2009). Data Access in Dynamic Distributed Systems: Basics, Concepts and Techniques of P2P Query Processing.
18.
Akbarinia, Reza, Esther Pacitti, & Patrick Valduriez. (2007). Best position algorithms for top-k queries. HAL (Le Centre pour la Communication Scientifique Directe). 495–506. 64 indexed citations
19.
Akbarinia, Reza, Esther Pacitti, & Patrick Valduriez. (2007). Data currency in replicated DHTs. 211–222. 21 indexed citations
20.
Akbarinia, Reza, Esther Pacitti, & Patrick Valduriez. (2006). An Efficient Mechanism for Processing Top-k Queries in DHTs. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

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.

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