Radu Ciucanu

527 total citations
15 papers, 200 citations indexed

About

Radu Ciucanu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Radu Ciucanu has authored 15 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 6 papers in Computer Networks and Communications. Recurrent topics in Radu Ciucanu's work include Privacy-Preserving Technologies in Data (6 papers), Advanced Database Systems and Queries (6 papers) and Advanced Bandit Algorithms Research (5 papers). Radu Ciucanu is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Advanced Database Systems and Queries (6 papers) and Advanced Bandit Algorithms Research (5 papers). Radu Ciucanu collaborates with scholars based in France, United Kingdom and United States. Radu Ciucanu's co-authors include Maximilian Schleich, Dan Olteanu, Angela Bonifati, Sławek Staworko, Patricia C. Arocena, Renée J. Miller, Boris Glavic, Pascal Lafourcade, George Fletcher and Aurélien Lemay and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems and Journal of Artificial Intelligence Research.

In The Last Decade

Radu Ciucanu

14 papers receiving 194 citations

Peers

Radu Ciucanu

AI

CNC

MSOR

SP

IS

Mahmoud Abo Khamis United States

Antonio Maccioni Italy

Yongjoo Park United States

François Goasdoué France

Cristian Riveros Chile

Yavor Nenov United Kingdom

Sławek Staworko France

Matt Crane New Zealand

Kaustubh Deshmukh United States

Jakub Závodný United Kingdom

Mahmoud Abo Khamis United States

Radu Ciucanu

129 ×1.0

AI

160 ×1.5

CNC

35 ×0.5

MSOR

123 ×2.2

SP

46 ×1.1

IS

Citations per year, relative to Radu Ciucanu Radu Ciucanu (= 1×) peers Mahmoud Abo Khamis

Countries citing papers authored by Radu Ciucanu

Since Specialization

Citations

This map shows the geographic impact of Radu Ciucanu'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 Radu Ciucanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu Ciucanu more than expected).

Fields of papers citing papers by Radu Ciucanu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radu Ciucanu. 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 Radu Ciucanu. The network helps show where Radu Ciucanu may publish in the future.

Co-authorship network of co-authors of Radu Ciucanu

This figure shows the co-authorship network connecting the top 25 collaborators of Radu Ciucanu. A scholar is included among the top collaborators of Radu Ciucanu 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 Radu Ciucanu. Radu Ciucanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

1.

Ciucanu, Radu, et al.. (2022). Secure Protocols for Best Arm Identification in Federated Stochastic Multi-Armed Bandits. IEEE Transactions on Dependable and Secure Computing. 20(2). 1378–1389. 2 indexed citations

2.

Ciucanu, Radu, et al.. (2022). Samba: A System for Secure Federated Multi-Armed Bandits. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3154–3157. 3 indexed citations

3.

Ciucanu, Radu, et al.. (2022). Secure protocols for cumulative reward maximization in stochastic multi-armed bandits. Journal of Computer Security. 31(1). 1–27. 1 indexed citations

4.

Ciucanu, Radu, et al.. (2022). SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits. Journal of Artificial Intelligence Research. 73. 737–765. 1 indexed citations

5.

Ciucanu, Radu, et al.. (2021). DashBot. 4696–4700. 2 indexed citations

6.

Ciucanu, Radu, et al.. (2020). Secure Outsourcing of Multi-armed Bandits. 202–209. 3 indexed citations

7.

Ciucanu, Radu, et al.. (2017). Secure Matrix Multiplication with MapReduce. 1–10. 6 indexed citations

8.

Bonifati, Angela, et al.. (2017). gMark: schema-driven generation of graphs and queries (extended abstract). TU/e Research Portal.

9.

Bonifati, Angela, Radu Ciucanu, & Sławek Staworko. (2016). Learning Join Queries from User Examples. ACM Transactions on Database Systems. 40(4). 1–38. 34 indexed citations

10.

Schleich, Maximilian, Dan Olteanu, & Radu Ciucanu. (2016). Learning Linear Regression Models over Factorized Joins. 3–18. 89 indexed citations

11.

Bonifati, Angela, et al.. (2016). Generating flexible workloads for graph databases. Proceedings of the VLDB Endowment. 9(13). 1457–1460. 8 indexed citations

12.

Bonifati, Angela, et al.. (2015). Controlling Diversity in Benchmarking Graph Databases. arXiv (Cornell University). 9(13). 1447–1460. 1 indexed citations

13.

Arocena, Patricia C., Boris Glavic, Radu Ciucanu, & Renée J. Miller. (2015). The iBench integration metadata generator. Proceedings of the VLDB Endowment. 9(3). 108–119. 36 indexed citations

14.

Arocena, Patricia C., Radu Ciucanu, Boris Glavic, & Renée J. Miller. (2015). Gain control over your integration evaluations. Proceedings of the VLDB Endowment. 8(12). 1960–1963. 2 indexed citations

15.

Bonifati, Angela, Radu Ciucanu, & Sławek Staworko. (2014). Interactive join query inference with JIM. Proceedings of the VLDB Endowment. 7(13). 1541–1544. 12 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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