Răzvan Andonie
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
-
- Neural Networks and Applications 30
- Fuzzy Logic and Control Systems 11
- Advanced Computational Techniques and Applications 3
-
- Face and Expression Recognition 12
- Co-authors
- Adrian Brașoveanu (3 shared papers)Daniel Grosu (2 shared papers)A.T. Chronopoulos (2 shared papers)Ioan Dziţac (1 shared paper)Alexandru Paler (1 shared paper)Valeriu Beiu (3 shared papers)Joseph Lemley (4 shared papers)Boris Kovalerchuk (2 shared papers)
- Journals
- Neural Networks (2 papers)Neural Processing Letters (2 papers)International Journal of Computers Communications & Control (11 papers)The Astronomical Journal (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United StatesRomaniaAustria
In The Last Decade
Răzvan Andonie
69 papers receiving 641 citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 313
- Signal Processing 83
- Hardware and Architecture 49
- Computer Vision and Pattern Recognition 103
- Computational Theory and Mathematics 62
Countries citing papers authored by Răzvan Andonie
This map shows the geographic impact of Răzvan Andonie'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 Răzvan Andonie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Răzvan Andonie more than expected).
Fields of papers citing papers by Răzvan Andonie
This network shows the impact of papers produced by Răzvan Andonie. 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 Răzvan Andonie. The network helps show where Răzvan Andonie may publish in the future.
Co-authors
The 19 scholars most cited alongside Răzvan Andonie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 103 | |
| 2 | 2020 | 54 | |
| 3 | 2020 | 45 | |
| 4 | 2010 | 44 | |
| 5 | 2001 | 41 | |
| 6 | 2020 | 33 | |
| 7 | 2006 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 17 | |
| 10 | Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images | 2016 | 16 |
| 11 | 2008 | 16 | |
| 12 | 2003 | 16 | |
| 13 | 2010 | 15 | |
| 14 | 2009 | 13 | |
| 15 | 2021 | 13 | |
| 16 | An informational energy LVQ approach for feature ranking. | 2004 | 11 |
| 17 | 2005 | 10 | |
| 18 | 2005 | 10 | |
| 19 | 2005 | 8 | |
| 20 | 2018 | 7 |
About Răzvan Andonie
Răzvan Andonie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Computer Networks and Communications, having authored 76 papers that have together received 676 indexed citations. Recurring topics across this work include Neural Networks and Applications (30 papers), Face and Expression Recognition (12 papers), Fuzzy Logic and Control Systems (11 papers), Computational Drug Discovery Methods (7 papers), Time Series Analysis and Forecasting (6 papers), Blind Source Separation Techniques (5 papers), Peer-to-Peer Network Technologies (3 papers) and Advanced Computational Techniques and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (313 citations), Signal Processing (83 citations), Hardware and Architecture (49 citations), Computer Vision and Pattern Recognition (103 citations) and Computational Theory and Mathematics (62 citations). Răzvan Andonie has collaborated with scholars based in United States, Romania and Austria. Frequent co-authors include Adrian Brașoveanu, Daniel Grosu, A.T. Chronopoulos, Ioan Dziţac, Alexandru Paler, Valeriu Beiu, Joseph Lemley, Boris Kovalerchuk, José M. Quintana and Holly C. Pinkart. Their work appears in journals such as Neural Networks, Neural Processing Letters, International Journal of Computers Communications & Control, The Astronomical Journal and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.