Roxana Istrate
Impact in
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- Advanced Neural Network Applications
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- Machine Learning and Data Classification
- Evolutionary Algorithms and Applications
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
Papers in
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- Graph Theory and Algorithms 2
- Advanced Neural Network Applications 2
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- Parallel Computing and Optimization Techniques 2
- Co-authors
- Costas Bekas (5 shared papers)Florian Scheidegger (3 shared papers)Giovanni Mariani (2 shared papers)A. Cristiano I. Malossi (2 shared papers)Dimitrios S. Nikolopoulos (1 shared paper)Florin Pop (3 shared papers)Panagiotis Kl. Barkoutsos (2 shared papers)Ivano Tavernelli (1 shared paper)
- Journals
- Future Generation Computer Systems (1 paper)The Visual Computer (1 paper)Lecture notes in computer science (1 paper)Proceedings - IEEE International Parallel and Distributed Processing Symposium (1 paper)IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) (1 paper)
- Partner nations
- SwitzerlandRomaniaUnited Kingdom
In The Last Decade
Roxana Istrate
7 papers receiving 95 citations
Peers
Comparison fields: 5 of 17
- Computer Vision and Pattern Recognition 40
- Artificial Intelligence 49
- Hardware and Architecture 7
- Computer Networks and Communications 15
- Health Informatics 1
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 16 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 | 39 | |
| 2 | 2020 | 29 | |
| 3 | 2016 | 13 | |
| 4 | 2016 | 6 | |
| 5 | 2015 | 5 | |
| 6 | 2016 | 3 | |
| 7 | 2018 | 2 | |
| 8 | 2020 | 0 |
About Roxana Istrate
Roxana Istrate is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 8 papers that have together received 97 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (2 papers), Parallel Computing and Optimization Techniques (2 papers), Graph Theory and Algorithms (2 papers), Advanced Neural Network Applications (2 papers), Machine Learning and Data Classification (2 papers), Distributed and Parallel Computing Systems (1 paper), Matrix Theory and Algorithms (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (40 citations), Artificial Intelligence (49 citations), Hardware and Architecture (7 citations), Computer Networks and Communications (15 citations) and Health Informatics (1 citation). Roxana Istrate has collaborated with scholars based in Switzerland, Romania and United Kingdom. Frequent co-authors include Costas Bekas, Florian Scheidegger, Giovanni Mariani, A. Cristiano I. Malossi, Dimitrios S. Nikolopoulos, Florin Pop, Panagiotis Kl. Barkoutsos, Ivano Tavernelli, Christoph Hagleitner and Peter Staar. Their work appears in journals such as Future Generation Computer Systems, The Visual Computer, Lecture notes in computer science, Proceedings - IEEE International Parallel and Distributed Processing Symposium and IEEE International Conference on Intelligent Computer Communication and Processing (ICCP).
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.