Radu Ciucanu
Impact in
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- Data Quality and Management
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Privacy-Preserving Technologies in Data 6
- Semantic Web and Ontologies 4
- Machine Learning and Algorithms 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 (2 shared papers)Renée J. Miller (2 shared papers)Boris Glavic (2 shared papers)Patricia C. Arocena (2 shared papers)Pascal Lafourcade (6 shared papers)
- Journals
- Proceedings of the VLDB Endowment (4 papers)Journal of Computer Security (1 paper)Journal of Artificial Intelligence Research (1 paper)ACM Transactions on Database Systems (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Radu Ciucanu
14 papers receiving 194 citations
Peers
Comparison fields: 5 of 30
- Management Science and Operations Research 71
- Signal Processing 55
- Computer Networks and Communications 108
- Artificial Intelligence 135
- Information Systems and Management 21
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 11 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 | 2015 | 36 | |
| 3 | 2016 | 34 | |
| 4 | 2014 | 12 | |
| 5 | 2016 | 8 | |
| 6 | 2017 | 6 | |
| 7 | 2020 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2015 | 2 | |
| 12 | Controlling Diversity in Benchmarking Graph Databases | 2015 | 1 |
| 13 | 2022 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 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 Computer Science Applications, having authored 15 papers that have together received 200 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Advanced Database Systems and Queries (6 papers), Advanced Bandit Algorithms Research (5 papers), Semantic Web and Ontologies (4 papers), Machine Learning and Algorithms (4 papers), Data Quality and Management (4 papers), Graph Theory and Algorithms (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). The work is most often cited by research in Management Science and Operations Research (71 citations), Signal Processing (55 citations), Computer Networks and Communications (108 citations), Artificial Intelligence (135 citations) and Information Systems and Management (21 citations). Radu Ciucanu has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Maximilian Schleich, Dan Olteanu, Angela Bonifati, Sławek Staworko, Renée J. Miller, Boris Glavic, Patricia C. Arocena, Pascal Lafourcade, Aurélien Lemay and George Fletcher. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Computer Security, Journal of Artificial Intelligence Research, 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.