Radu Ciucanu
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Data Quality and Management
Papers in
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- Privacy-Preserving Technologies in Data 6
- Machine Learning and Algorithms 4
- Semantic Web and Ontologies 4
- Stochastic Gradient Optimization Techniques 3
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- Advanced Bandit Algorithms Research 5
- Data Quality and Management 4
- Co-authors
- Maximilian Schleich (1 shared paper)Dan Olteanu (1 shared paper)Angela Bonifati (5 shared papers)Sławek Staworko (3 shared papers)Boris Glavic (2 shared papers)Patricia C. Arocena (2 shared papers)Renée J. Miller (2 shared papers)Aurélien Lemay (4 shared papers)
- Journals
- Proceedings of the VLDB Endowment (4 papers)Journal of Artificial Intelligence Research (1 paper)Journal of Computer Security (1 paper)ACM Transactions on Database Systems (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)
- Partner nations
- FranceUnited KingdomNetherlands
In The Last Decade
Radu Ciucanu
16 papers receiving 239 citations
Peers
Comparison fields: 5 of 31
- Signal Processing 67
- Management Science and Operations Research 76
- Computer Networks and Communications 133
- Artificial Intelligence 159
- Information Systems and Management 22
Countries citing papers authored by Radu Ciucanu
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
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-authors
The 13 scholars most cited alongside Radu Ciucanu, 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 | 2016 | 89 | |
| 2 | gMark: schema-driven generation of graphs and queries | 2017 | 43 |
| 3 | 2015 | 36 | |
| 4 | 2016 | 34 | |
| 5 | 2014 | 12 | |
| 6 | 2016 | 9 | |
| 7 | 2017 | 6 | |
| 8 | 2022 | 3 | |
| 9 | 2020 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2015 | 2 | |
| 12 | 2015 | 2 | |
| 13 | 2021 | 2 | |
| 14 | Controlling Diversity in Benchmarking Graph Databases | 2015 | 1 |
| 15 | 2022 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2017 | 0 |
About Radu Ciucanu
Radu Ciucanu is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 17 papers that have together received 246 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (8 papers), Privacy-Preserving Technologies in Data (6 papers), Advanced Bandit Algorithms Research (5 papers), Graph Theory and Algorithms (4 papers), Machine Learning and Algorithms (4 papers), Data Quality and Management (4 papers), Semantic Web and Ontologies (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). The work is most often cited by research in Signal Processing (67 citations), Management Science and Operations Research (76 citations), Computer Networks and Communications (133 citations), Artificial Intelligence (159 citations) and Information Systems and Management (22 citations). Radu Ciucanu has collaborated with scholars based in France, United Kingdom and Netherlands. Frequent co-authors include Maximilian Schleich, Dan Olteanu, Angela Bonifati, Sławek Staworko, Boris Glavic, Patricia C. Arocena, Renée J. Miller, Aurélien Lemay, Guillaume Bagan and Pascal Lafourcade. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Artificial Intelligence Research, Journal of Computer Security, ACM Transactions on Database Systems and IEEE Transactions on Dependable and Secure Computing.
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.