Bogdan Raducanu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Social Psychology
- Experimental and Cognitive Psychology
- Cognitive Neuroscience
- Co-authors
- Joost van de WeijerFadi DornaikaLuis HerranzChenshen WuXialei LiuJordi VitriàAbel González-GarcíaDaniel Gática-Pérez
- Topics
- Face and Expression Recognition (14 papers)Face recognition and analysis (9 papers)Advanced Image and Video Retrieval Techniques (5 papers)
In The Last Decade
Bogdan Raducanu
32 papers receiving 340 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 234
- Artificial Intelligence 166
- Social Psychology 43
- Experimental and Cognitive Psychology 40
- Cognitive Neuroscience 28
Countries citing papers authored by Bogdan Raducanu
This map shows the geographic impact of Bogdan Raducanu'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 Bogdan Raducanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bogdan Raducanu more than expected).
Fields of papers citing papers by Bogdan Raducanu
This network shows the impact of papers produced by Bogdan Raducanu. 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 Bogdan Raducanu. The network helps show where Bogdan Raducanu may publish in the future.
Co-authorship network of co-authors of Bogdan Raducanu
This figure shows the co-authorship network connecting the top 25 collaborators of Bogdan Raducanu. A scholar is included among the top collaborators of Bogdan Raducanu 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 Bogdan Raducanu. Bogdan Raducanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 47 | |
| 7 | Memory Replay GANs: Learning to Generate New Categories without Forgetting | 115 |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 29 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 16 | |
| 15 | 3 | |
| 16 | Line detection techniques for automatic content conversion systems | 2 |
| 17 | 3D mesh simplification techniques for image-page clusters detection | 2 |
| 18 | Robust line detection methods | 4 |
| 19 | 9 | |
| 20 | An approach to face localization based on signature analysis. | 0 |
About Bogdan Raducanu
Bogdan Raducanu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 34 papers that have together received 350 indexed citations. Recurring topics across this work include Face and Expression Recognition (14 papers), Face recognition and analysis (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (234 citations), Artificial Intelligence (166 citations) and Human-Computer Interaction (21 citations). Bogdan Raducanu has collaborated with scholars based in Spain, Mexico and Chile. Frequent co-authors include Joost van de Weijer, Fadi Dornaika, Luis Herranz, Chenshen Wu, Xialei Liu, Jordi Vitrià, Abel González-García, Daniel Gática-Pérez, Manuel Graña and Juan Terven. Their work appears in journals such as IEEE Access, Sensors 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.