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
- Topic Modeling 3
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- Face and Expression Recognition 12
- Data Visualization and Analytics 3
- Co-authors
- Adrian Brașoveanu (3 shared papers)A.T. Chronopoulos (2 shared papers)Daniel Grosu (2 shared papers)Ioan Dziţac (1 shared paper)Alexandru Paler (1 shared paper)Joseph Lemley (4 shared papers)Valeriu Beiu (3 shared papers)José M. Quintana (1 shared paper)
- Journals
- Neural Processing Letters (2 papers)Neural Networks (2 papers)International Journal of Computers Communications & Control (11 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Applied Sciences (1 paper)
- Partner nations
- United StatesRomaniaAustria
In The Last Decade
Răzvan Andonie
70 papers receiving 658 citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 317
- Signal Processing 83
- Hardware and Architecture 49
- Computer Vision and Pattern Recognition 104
- 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 | 108 | |
| 2 | 2020 | 56 | |
| 3 | 2020 | 46 | |
| 4 | 2010 | 44 | |
| 5 | 2001 | 41 | |
| 6 | 2020 | 33 | |
| 7 | 2022 | 24 | |
| 8 | 2006 | 24 | |
| 9 | 2022 | 19 | |
| 10 | 2003 | 17 | |
| 11 | Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images | 2016 | 16 |
| 12 | 2008 | 16 | |
| 13 | 2010 | 15 | |
| 14 | 2021 | 13 | |
| 15 | 2009 | 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 691 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), Data Visualization and Analytics (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Artificial Intelligence (317 citations), Signal Processing (83 citations), Hardware and Architecture (49 citations), Computer Vision and Pattern Recognition (104 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, A.T. Chronopoulos, Daniel Grosu, Ioan Dziţac, Alexandru Paler, Joseph Lemley, Valeriu Beiu, José M. Quintana, Boris Kovalerchuk and Holly C. Pinkart. Their work appears in journals such as Neural Processing Letters, Neural Networks, International Journal of Computers Communications & Control, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Applied Sciences.
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.