Bogdan Raducanu

1.4k total citations
34 papers, 350 citations indexed

About

Bogdan Raducanu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Bogdan Raducanu has authored 34 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Bogdan Raducanu's work include Face and Expression Recognition (14 papers), Face recognition and analysis (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Bogdan Raducanu is often cited by papers focused on Face and Expression Recognition (14 papers), Face recognition and analysis (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Bogdan Raducanu collaborates with scholars based in Spain, Mexico and Chile. Bogdan Raducanu's 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 and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Bogdan Raducanu

32 papers receiving 340 citations

Peers

Bogdan Raducanu

CVPR

AI

SP

ECP

CN

Amir Sadovnik United States

Kuan–Chuan Peng United States

Sabrina Caldwell Australia

Paraskevi Tzouveli Greece

Sujoy Roy Singapore

Nicholas J. Butko United States

Sung‐Yeon Kim South Korea

Yushan Wu China

Michael J. Black United States

Syaheerah Lebai Lutfi Malaysia

Amir Sadovnik United States

Bogdan Raducanu

231 ×1.0

CVPR

139 ×0.8

AI

18 ×0.4

SP

44 ×1.1

ECP

34 ×1.2

CN

Citations per year, relative to Bogdan Raducanu Bogdan Raducanu (= 1×) peers Amir Sadovnik

Countries citing papers authored by Bogdan Raducanu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

1.

Aguilera, Cristhian, et al.. (2024). Voice-Controlled Robotics in Early Education: Implementing and Validating Child-Directed Interactions Using a Collaborative Robot and Artificial Intelligence. Applied Sciences. 14(6). 2408–2408. 5 indexed citations

2.

Aguilera, Cristhian, et al.. (2023). A Hand-Drawn Language for Human–Robot Collaboration in Wood Stereotomy. IEEE Access. 11. 100975–100985. 2 indexed citations

3.

Wang, Yaxing, et al.. (2022). Transferring Unconditional to Conditional GANs with Hyper-Modulation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 33. 3839–3848. 1 indexed citations

4.

Wang, Yaxing, et al.. (2021). TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13990–13999. 5 indexed citations

5.

Weijer, Joost van de, et al.. (2021). Saliency for free: Saliency prediction as a side-effect of object recognition. Pattern Recognition Letters. 150. 1–7. 5 indexed citations

6.

González-García, Abel, et al.. (2019). Saliency for fine-grained object recognition in domains with scarce training data. Pattern Recognition. 94. 62–73. 47 indexed citations

7.

Wu, Chenshen, et al.. (2018). Memory Replay GANs: Learning to Generate New Categories without Forgetting. Neural Information Processing Systems. 31. 5962–5972. 115 indexed citations

8.

Raducanu, Bogdan, Alireza Bosaghzadeh, & Fadi Dornaika. (2015). Multi-observation face recognition in videos based on label propagation. 1. 10–17. 2 indexed citations

9.

Terven, Juan, et al.. (2015). Evaluating Real-Time Mirroring of Head Gestures Using Smart Glasses. 2006. 452–460. 2 indexed citations

10.

Terven, Juan, et al.. (2015). Head-gestures mirroring detection in dyadic social interactions with computer vision-based wearable devices. Neurocomputing. 175. 866–876. 16 indexed citations

11.

Raducanu, Bogdan & Fadi Dornaika. (2013). Embedding new observations via sparse-coding for non-linear manifold learning. Pattern Recognition. 47(1). 480–492. 29 indexed citations

12.

Salas, Joaquín, et al.. (2012). Synthetic ground truth dataset to detect shadows cast by static objects in outdoors. 1–6. 1 indexed citations

13.

Raducanu, Bogdan & Daniel Gática-Pérez. (2010). Inferring competitive role patterns in reality TV show through nonverbal analysis. Multimedia Tools and Applications. 56(1). 207–226. 8 indexed citations

14.

Raducanu, Bogdan, Jordi Vitrià, & Daniel Gática-Pérez. (2009). You are fired! Nonverbal role analysis in competitive meetings. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 65. 1949–1952. 16 indexed citations

15.

Raducanu, Bogdan, et al.. (2009). High-precision orientation and skew detection for texts in scanned documents. 7. 145–148. 3 indexed citations

16.

Raducanu, Bogdan, et al.. (2008). Line detection techniques for automatic content conversion systems. WSEAS Transactions on Information Science and Applications archive. 5(7). 1200–1209. 2 indexed citations

17.

Raducanu, Bogdan, et al.. (2008). 3D mesh simplification techniques for image-page clusters detection. WSEAS Transactions on Information Science and Applications archive. 5(7). 1210–1219. 2 indexed citations

18.

Raducanu, Bogdan, et al.. (2008). Robust line detection methods. 464–467. 4 indexed citations

19.

Dornaika, Fadi & Bogdan Raducanu. (2007). Inferring facial expressions from videos: Tool and application. Signal Processing Image Communication. 22(9). 769–784. 9 indexed citations

20.

Raducanu, Bogdan & Manuel Graña. (1997). An approach to face localization based on signature analysis.. AVSP. 109–112.

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.

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