Valentin Radu

1.0k total citations
30 papers, 724 citations indexed

About

Valentin Radu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Valentin Radu has authored 30 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 13 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Valentin Radu's work include Indoor and Outdoor Localization Technologies (11 papers), Advanced Neural Network Applications (7 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). Valentin Radu is often cited by papers focused on Indoor and Outdoor Localization Technologies (11 papers), Advanced Neural Network Applications (7 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). Valentin Radu collaborates with scholars based in United Kingdom, Romania and Finland. Valentin Radu's co-authors include Mahesh K. Marina, Cecilia Mascolo, Fahim Kawsar, Nicholas D. Lane, Sourav Bhattacharya, Catherine Tong, Rik Sarkar, Panagiota Katsikouli, Sangxia Huang and Jack Turner and has published in prestigious journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Edinburgh Research Explorer (University of Edinburgh) and Edinburgh Research Explorer.

In The Last Decade

Valentin Radu

28 papers receiving 707 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Valentin Radu United Kingdom 11 362 287 223 133 119 30 724
Bernhard Firner United States 13 185 0.5× 512 1.8× 139 0.6× 213 1.6× 168 1.4× 21 772
Thor Siiger Prentow Denmark 8 376 1.0× 183 0.6× 245 1.1× 151 1.1× 89 0.7× 12 665
Katsuhiko Kaji Japan 11 252 0.7× 195 0.7× 82 0.4× 69 0.5× 72 0.6× 65 485
Mirco Rossi Switzerland 8 535 1.5× 147 0.5× 237 1.1× 210 1.6× 149 1.3× 17 766
Weixi Gu China 15 192 0.5× 307 1.1× 105 0.5× 149 1.1× 175 1.5× 33 714
Francesco Furfari Italy 15 257 0.7× 268 0.9× 91 0.4× 213 1.6× 54 0.5× 39 589
Le T. Nguyen United States 12 641 1.8× 164 0.6× 368 1.7× 223 1.7× 166 1.4× 22 1.1k
Bo-Jhang Ho United States 9 161 0.4× 130 0.5× 469 2.1× 101 0.8× 158 1.3× 15 777
Xiaopei Wu China 13 134 0.4× 159 0.6× 110 0.5× 94 0.7× 193 1.6× 28 628
Heba Abdelnasser Egypt 9 178 0.5× 606 2.1× 91 0.4× 236 1.8× 199 1.7× 15 864

Countries citing papers authored by Valentin Radu

Since Specialization
Citations

This map shows the geographic impact of Valentin Radu'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 Valentin Radu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Radu more than expected).

Fields of papers citing papers by Valentin Radu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentin Radu. 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 Valentin Radu. The network helps show where Valentin Radu may publish in the future.

Co-authorship network of co-authors of Valentin Radu

This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Radu. A scholar is included among the top collaborators of Valentin Radu 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 Valentin Radu. Valentin Radu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Li, Lu, et al.. (2022). Mapping parallelism in a functional IR through constraint satisfaction: a case study on convolution for mobile GPUs. Edinburgh Research Explorer. 218–230. 1 indexed citations
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Radu, Valentin, et al.. (2021). An Immune Inspired Algorithm for Fault Tolerant Enhanced Multimodal Machine Learning. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 16. 2194–2200. 1 indexed citations
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Huang, Sangxia, et al.. (2020). MM-Fit. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 4(4). 1–22. 44 indexed citations
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Anderson, Andrew, et al.. (2020). TASO: Time and Space Optimization for Memory-Constrained DNN Inference. 199–208. 6 indexed citations
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Radu, Valentin, et al.. (2019). Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking. Edinburgh Research Explorer. 1–8. 10 indexed citations
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Radu, Valentin, et al.. (2019). CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras. Edinburgh Research Explorer (University of Edinburgh). 1–8. 14 indexed citations
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Radu, Valentin, Jack Turner, José Cano, et al.. (2019). Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 24–34. 25 indexed citations
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Turner, Jack, Elliot J. Crowley, Valentin Radu, et al.. (2018). HAKD: Hardware Aware Knowledge Distillation.. arXiv (Cornell University). 1 indexed citations
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Turner, Jack, José Cano, Valentin Radu, et al.. (2018). Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 101–110. 18 indexed citations
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Radu, Valentin, Catherine Tong, Sourav Bhattacharya, et al.. (2018). Multimodal Deep Learning for Activity and Context Recognition. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 1(4). 1–27. 199 indexed citations
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Radu, Valentin, Nicholas D. Lane, Sourav Bhattacharya, et al.. (2016). Towards multimodal deep learning for activity recognition on mobile devices. 185–188. 105 indexed citations
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Radu, Valentin, Panagiota Katsikouli, Rik Sarkar, & Mahesh K. Marina. (2014). A semi-supervised learning approach for robust indoor-outdoor detection with smartphones. Edinburgh Research Explorer (University of Edinburgh). 280–294. 91 indexed citations
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Radu, Valentin, Panagiota Katsikouli, Rik Sarkar, & Mahesh K. Marina. (2014). Poster. Edinburgh Research Explorer. 401–404. 5 indexed citations
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Radu, Valentin, et al.. (2012). Poster. 527–528. 3 indexed citations

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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