Razvan-Gabriel Cirstea

7 papers and 205 indexed citations i.

Razvan-Gabriel Cirstea is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Razvan-Gabriel Cirstea has authored 7 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 6 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Razvan-Gabriel Cirstea’s work include Time Series Analysis and Forecasting (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Traffic Prediction and Management Techniques (2 papers). Razvan-Gabriel Cirstea is often cited by papers focused on Time Series Analysis and Forecasting (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Traffic Prediction and Management Techniques (2 papers). Razvan-Gabriel Cirstea collaborates with scholars based in Denmark, United States and Australia. Razvan-Gabriel Cirstea's co-authors include Chenjuan Guo, Bin Yang, Tung Kieu, Shirui Pan, Sinno Jialin Pan, Xuanyi Dong, Yale Song, Yan Zhao and Christian S. Jensen and has published in prestigious journals such as arXiv (Cornell University), Research Portal Denmark and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.