Sorin Moga
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Social Psychology
- Cognitive Neuroscience
- Co-authors
- Philippe GaussierJ.P. BanquetMathias QuoyPierre AndryJ. NadelAlexandru IsarPhilippe LencaCristina Stolojescu-Crișan
- Topics
- Image and Signal Denoising Methods (7 papers)Advanced Image Fusion Techniques (5 papers)Neural Networks and Applications (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringCognitive Neuroscience
In The Last Decade
Sorin Moga
17 papers receiving 224 citations
Peers
Comparison fields: 5 of 52
- Control and Systems Engineering 87
- Computer Vision and Pattern Recognition 87
- Artificial Intelligence 80
- Social Psychology 69
- Cognitive Neuroscience 68
Countries citing papers authored by Sorin Moga
This map shows the geographic impact of Sorin Moga'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 Sorin Moga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sorin Moga more than expected).
Fields of papers citing papers by Sorin Moga
This network shows the impact of papers produced by Sorin Moga. 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 Sorin Moga. The network helps show where Sorin Moga may publish in the future.
Co-authorship network of co-authors of Sorin Moga
This figure shows the co-authorship network connecting the top 25 collaborators of Sorin Moga. A scholar is included among the top collaborators of Sorin Moga 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 Sorin Moga. Sorin Moga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | DENOISING SONAR IMAGES USING A BISHRINK FILTER WITH REDUCED SENSITIVITY | 0 |
| 7 | 7 | |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | Artificial neural network for sequence learning | 1 |
| 14 | 28 | |
| 15 | 76 | |
| 16 | 1 | |
| 17 | 73 | |
| 18 | From Perception-Action loops to imitation processes: A bottom-up approach of learning by imitation | 10 |
About Sorin Moga
Sorin Moga is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Geophysics, having authored 18 papers that have together received 246 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Advanced Image Fusion Techniques (5 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (87 citations), Control and Systems Engineering (87 citations) and Cognitive Neuroscience (68 citations). Sorin Moga has collaborated with scholars based in France, Romania and Sri Lanka. Frequent co-authors include Philippe Gaussier, J.P. Banquet, Mathias Quoy, Pierre Andry, J. Nadel, Alexandru Isar, Philippe Lenca, Cristina Stolojescu-Crișan, J.-M. Augustin and Yuli Xue. Their work appears in journals such as Knowledge-Based Systems, Pattern Recognition Letters and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.
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.