Roxana Istrate
Impact in
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- Advanced Neural Network Applications
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- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
Papers in
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- Caching and Content Delivery 2
- Peer-to-Peer Network Technologies 1
- Distributed systems and fault tolerance 1
- Distributed and Parallel Computing Systems 1
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- Advanced Neural Network Applications 2
- Co-authors
- Dimitrios S. Nikolopoulos (2 shared papers)Costas Bekas (4 shared papers)A. Cristiano I. Malossi (3 shared papers)Giovanni Mariani (1 shared paper)Florian Scheidegger (2 shared papers)Florin Pop (3 shared papers)Nicolae Ţãpuş (1 shared paper)Nikolaj Moll (1 shared paper)
- Journals
- Future Generation Computer Systems (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- SwitzerlandRomaniaBangladesh
In The Last Decade
Roxana Istrate
6 papers receiving 62 citations
Peers
Comparison fields: 5 of 15
- Computer Vision and Pattern Recognition 29
- Artificial Intelligence 41
- Computer Networks and Communications 20
- Hardware and Architecture 5
- Information Systems 12
Countries citing papers authored by Roxana Istrate
This map shows the geographic impact of Roxana Istrate'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 Roxana Istrate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roxana Istrate more than expected).
Fields of papers citing papers by Roxana Istrate
This network shows the impact of papers produced by Roxana Istrate. 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 Roxana Istrate. The network helps show where Roxana Istrate may publish in the future.
Co-authors
The 15 scholars most cited alongside Roxana Istrate, 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 | 2019 | 33 | |
| 2 | 2016 | 12 | |
| 3 | Incremental Training of Deep Convolutional Neural Networks | 2017 | 10 |
| 4 | 2016 | 4 | |
| 5 | 2015 | 4 | |
| 6 | 2016 | 2 | |
| 7 | 2020 | 0 |
About Roxana Istrate
Roxana Istrate is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 7 papers that have together received 65 indexed citations. Recurring topics across this work include Caching and Content Delivery (2 papers), Cloud Computing and Resource Management (2 papers), Advanced Neural Network Applications (2 papers), Peer-to-Peer Network Technologies (1 paper), Distributed systems and fault tolerance (1 paper), Quantum Computing Algorithms and Architecture (1 paper), Distributed and Parallel Computing Systems (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (29 citations), Artificial Intelligence (41 citations), Computer Networks and Communications (20 citations), Hardware and Architecture (5 citations) and Information Systems (12 citations). Roxana Istrate has collaborated with scholars based in Switzerland, Romania and Bangladesh. Frequent co-authors include Dimitrios S. Nikolopoulos, Costas Bekas, A. Cristiano I. Malossi, Giovanni Mariani, Florian Scheidegger, Florin Pop, Nicolae Ţãpuş, Nikolaj Moll, Ivano Tavernelli and Peter Staar. Their work appears in journals such as Future Generation Computer Systems, Zenodo (CERN European Organization for Nuclear Research) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.