Decebal Constantin Mocanu
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Antonio LiottaElena MocanuMadeleine GibescuPhuong H. NguyenMichael E. WebberJ.G. SlootwegMaria Torres VegaMykola Pechenizkiy
- Topics
- Image and Video Quality Assessment (17 papers)Advanced Image Processing Techniques (9 papers)Video Coding and Compression Technologies (8 papers)
- Partner nations
- NetherlandsItalyUnited States
In The Last Decade
Decebal Constantin Mocanu
48 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Electrical and Electronic Engineering 454
- Computer Vision and Pattern Recognition 340
- Artificial Intelligence 306
- Control and Systems Engineering 243
- Computer Networks and Communications 149
Countries citing papers authored by Decebal Constantin Mocanu
This map shows the geographic impact of Decebal Constantin Mocanu'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 Decebal Constantin Mocanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Decebal Constantin Mocanu more than expected).
Fields of papers citing papers by Decebal Constantin Mocanu
This network shows the impact of papers produced by Decebal Constantin Mocanu. 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 Decebal Constantin Mocanu. The network helps show where Decebal Constantin Mocanu may publish in the future.
Co-authorship network of co-authors of Decebal Constantin Mocanu
This figure shows the co-authorship network connecting the top 25 collaborators of Decebal Constantin Mocanu. A scholar is included among the top collaborators of Decebal Constantin Mocanu 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 Decebal Constantin Mocanu. Decebal Constantin Mocanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | Topological Insights in Sparse Neural Networks. | 2 |
| 6 | 25 | |
| 7 | 12 | |
| 8 | 76 | |
| 9 | On-Line Building Energy Optimization Using Deep Reinforcement Learningbreakdown → | 449 |
| 10 | 13 | |
| 11 | Evolutionary training of sparse artificial neural networks : a network science perspective | 5 |
| 12 | On the synergy of network science and artificial intelligence | 2 |
| 13 | 16 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | A topological insight into restricted Boltzmann machines (extented abstract) | 1 |
| 17 | 4 | |
| 18 | An automated measure of MDP similarity for transfer in reinforcement learning | 29 |
| 19 | 11 | |
| 20 | 17 |
About Decebal Constantin Mocanu
Decebal Constantin Mocanu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (17 papers), Advanced Image Processing Techniques (9 papers) and Video Coding and Compression Technologies (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (340 citations), Control and Systems Engineering (243 citations) and Signal Processing (112 citations). Decebal Constantin Mocanu has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include Antonio Liotta, Elena Mocanu, Madeleine Gibescu, Phuong H. Nguyen, Michael E. Webber, J.G. Slootweg, Maria Torres Vega, Mykola Pechenizkiy, Georgios Exarchakos and Haitham Bou Ammar. Their work appears in journals such as Scientific Reports, IEEE Transactions on Smart Grid and Pattern Recognition.
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.