Răzvan Andonie

1.2k total citations
76 papers, 676 citations indexed

About

Răzvan Andonie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Răzvan Andonie has authored 76 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 14 papers in Signal Processing. Recurrent topics in Răzvan Andonie's work include Neural Networks and Applications (30 papers), Face and Expression Recognition (12 papers) and Fuzzy Logic and Control Systems (11 papers). Răzvan Andonie is often cited by papers focused on Neural Networks and Applications (30 papers), Face and Expression Recognition (12 papers) and Fuzzy Logic and Control Systems (11 papers). Răzvan Andonie collaborates with scholars based in United States, Romania and Austria. Răzvan Andonie's co-authors include Adrian Brașoveanu, A.T. Chronopoulos, Daniel Grosu, Ioan Dziţac, Valeriu Beiu, Alexandru Paler, Joseph Lemley, José M. Quintana, Boris Kovalerchuk and T. I. Melbourne and has published in prestigious journals such as The Astronomical Journal, Neural Networks and Bioorganic & Medicinal Chemistry.

In The Last Decade

Răzvan Andonie

69 papers receiving 641 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Răzvan Andonie United States 14 313 103 85 83 74 76 676
Jin Tian United States 18 504 1.6× 99 1.0× 71 0.8× 35 0.4× 70 0.9× 98 1.0k
Chongjun Wang China 15 461 1.5× 146 1.4× 128 1.5× 106 1.3× 149 2.0× 128 886
Prabhas Chongstitvatana Thailand 12 358 1.1× 68 0.7× 34 0.4× 53 0.6× 97 1.3× 103 707
Ji Won Yoon South Korea 12 167 0.5× 182 1.8× 65 0.8× 106 1.3× 107 1.4× 69 731
Zeyi Wen Australia 11 361 1.2× 91 0.9× 73 0.9× 107 1.3× 50 0.7× 47 602
Spiridon Likothanassis Greece 15 246 0.8× 65 0.6× 87 1.0× 45 0.5× 106 1.4× 76 653
Leonard E. Trigg New Zealand 4 315 1.0× 67 0.7× 90 1.1× 87 1.0× 193 2.6× 5 683
Lang Li China 13 441 1.4× 286 2.8× 58 0.7× 50 0.6× 44 0.6× 65 713
Chih‐Wei Hsu United States 7 338 1.1× 208 2.0× 86 1.0× 111 1.3× 189 2.6× 17 801

Countries citing papers authored by Răzvan Andonie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Răzvan Andonie

This figure shows the co-authorship network connecting the top 25 collaborators of Răzvan Andonie. A scholar is included among the top collaborators of Răzvan Andonie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Răzvan Andonie. Răzvan Andonie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Andonie, Răzvan, et al.. (2025). Transfer Entropy in Deep Neural Networks. International Journal of Computers Communications & Control. 20(1).
2.
3.
Andonie, Răzvan, et al.. (2023). Information Plane Analysis Visualization in Deep Learning via Transfer Entropy. arXiv (Cornell University). 22. 278–285. 2 indexed citations
4.
5.
Andonie, Răzvan, et al.. (2022). Optimized Fully Convolutional Neural Network Encoder for Water Detection in SAR Images. 343–350. 1 indexed citations
6.
Andonie, Răzvan, et al.. (2021). Concept Drift Adaptation with Incremental–Decremental SVM. Applied Sciences. 11(20). 9644–9644. 13 indexed citations
7.
Lemley, Joseph, et al.. (2016). Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images. 97–102. 16 indexed citations
8.
Andonie, Răzvan, et al.. (2015). Massively Parallel kNN using CUDA on Spam-Classification. 175–180. 2 indexed citations
9.
Andonie, Răzvan, et al.. (2012). How to infer the informational energy from small datasets. ScholarWorks (Central Washington University). 2. 1065–1070. 6 indexed citations
10.
Andonie, Răzvan, et al.. (2009). An Adaptive Replication Algorithm in P2P File Systems with Unreliable Nodes.. Parallel and Distributed Processing Techniques and Applications. 398–404.
11.
Andonie, Răzvan, et al.. (2009). Fuzzy ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors Using a Small Molecular Data Set. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(1). 80–93. 13 indexed citations
12.
Andonie, Răzvan, et al.. (2008). Fuzzy ARTMAP with Feature Weighting. 91–96. 3 indexed citations
13.
Andonie, Răzvan, et al.. (2008). A genetic algorithm optimized fuzzy neural network analysis of the affinity of inhibitors for HIV-1 protease. Bioorganic & Medicinal Chemistry. 16(6). 2903–2911. 16 indexed citations
14.
Andonie, Răzvan. (2007). Proceedings of the Third IASTED International Conference on Computational Intelligence. Computational intelligence. 4 indexed citations
15.
Andonie, Răzvan, et al.. (2007). The Connex Array™ as a neural network accelerator. Computational intelligence. 163–167. 3 indexed citations
16.
Andonie, Răzvan, et al.. (2006). Event-driven load balancing of partially replicated objects through a swarm of mobile agents.. Computational intelligence. 114–119. 3 indexed citations
17.
Andonie, Răzvan & Boris Kovalerchuk. (2004). Neural Networks for Data Mining: Constrains and Open Problems. The European Symposium on Artificial Neural Networks. 449–458. 6 indexed citations
18.
Andonie, Răzvan, et al.. (2004). An informational energy LVQ approach for feature ranking.. The European Symposium on Artificial Neural Networks. 471–476. 11 indexed citations
19.
Andonie, Răzvan, et al.. (2003). A Fuzzy ARTMAP Probability Estimator with Relevance Factor. The European Symposium on Artificial Neural Networks. 367–372. 2 indexed citations
20.
Andonie, Răzvan. (1990). A converse H-theorem for inductive processes. Computing and Informatics / Computers and Artificial Intelligence. 9(2). 161–167. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jin Tian Breakdown of academic impact, for papers by Chongjun Wang Breakdown of academic impact, for papers by Prabhas Chongstitvatana Breakdown of academic impact, for papers by Ji Won Yoon Breakdown of academic impact, for papers by Zeyi Wen Breakdown of academic impact, for papers by Spiridon Likothanassis Breakdown of academic impact, for papers by Leonard E. Trigg Breakdown of academic impact, for papers by Lang Li Breakdown of academic impact, for papers by Chih‐Wei Hsu
Rankless by CCL
2026