Lorena Qendro

821 total citations · 1 hit paper
12 papers, 588 citations indexed

About

Lorena Qendro is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lorena Qendro has authored 12 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lorena Qendro's work include Adversarial Robustness in Machine Learning (2 papers), Music and Audio Processing (2 papers) and Context-Aware Activity Recognition Systems (2 papers). Lorena Qendro is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Music and Audio Processing (2 papers) and Context-Aware Activity Recognition Systems (2 papers). Lorena Qendro collaborates with scholars based in United Kingdom, United States and Singapore. Lorena Qendro's co-authors include Nicholas D. Lane, Petko Georgiev, Fahim Kawsar, Lei Jiao, Claudio Forlivesi, Sourav Bhattacharya, Cecilia Mascolo, Alessandro Montanari, Xia Tong and Ting Dang and has published in prestigious journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Pervasive Computing and Apollo (University of Cambridge).

In The Last Decade

Lorena Qendro

11 papers receiving 576 citations

Hit Papers

DeepX: A Software Accelerator for Low-Power Deep Learning... 2016 2026 2019 2022 2016 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices
    2016 295 citations Nicholas D. Lane, Sourav Bhattacharya et al. Apollo (University of Cambridge) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorena Qendro United Kingdom 6 331 207 193 163 83 12 588
Claudio Forlivesi United Kingdom 8 434 1.3× 314 1.5× 254 1.3× 223 1.4× 56 0.7× 17 781
Valentin Radu United Kingdom 11 362 1.1× 133 0.6× 223 1.2× 287 1.8× 119 1.4× 30 724
Sugang Li United States 13 133 0.4× 249 1.2× 59 0.3× 153 0.9× 125 1.5× 18 599
Chouchang Yang United States 8 140 0.4× 143 0.7× 51 0.3× 614 3.8× 140 1.7× 21 850
Sumit Gupta India 13 311 0.9× 88 0.4× 59 0.3× 96 0.6× 35 0.4× 48 585
Mahanth Gowda United States 15 142 0.4× 143 0.7× 67 0.3× 307 1.9× 95 1.1× 43 674
Hang Shi China 11 211 0.6× 80 0.4× 101 0.5× 60 0.4× 32 0.4× 40 439
Ting Cao China 12 154 0.5× 213 1.0× 138 0.7× 116 0.7× 34 0.4× 53 559
Tailin Liang China 2 247 0.7× 64 0.3× 230 1.2× 96 0.6× 40 0.5× 4 513

Countries citing papers authored by Lorena Qendro

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Qendro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorena Qendro

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

All Works

12 of 12 papers shown
1.
Jia, Hong, et al.. (2024). UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. ORCA Online Research @Cardiff (Cardiff University). 1–10. 1 indexed citations
2.
Tong, Xia, Ting Dang, Jing Han, Lorena Qendro, & Cecilia Mascolo. (2024). Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. IEEE Journal of Biomedical and Health Informatics. 28(11). 6417–6428. 4 indexed citations
3.
Qendro, Lorena, et al.. (2024). Kaizen: Practical self-supervised continual learning with continual fine-tuning. 2829–2838. 6 indexed citations
4.
5.
Qendro, Lorena & Cecilia Mascolo. (2022). Towards Adversarial Robustness with Early Exit Ensembles. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 313–316. 1 indexed citations
6.
Qendro, Lorena, et al.. (2022). Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3998–4002. 2 indexed citations
7.
Ma, Dong, et al.. (2022). Mobile Health With Head-Worn Devices: Challenges and Opportunities. IEEE Pervasive Computing. 21(3). 52–60. 6 indexed citations
8.
Qendro, Lorena, et al.. (2021). Stochastic-Shield. 1–6. 2 indexed citations
9.
Tong, Xia, Jing Han, Lorena Qendro, Ting Dang, & Cecilia Mascolo. (2021). Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. 2951–2955. 16 indexed citations
10.
Montanari, Alessandro, et al.. (2020). ePerceptive. 382–394. 30 indexed citations
11.
Lane, Nicholas D., Sourav Bhattacharya, Petko Georgiev, et al.. (2016). DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. Apollo (University of Cambridge). 1–12. 295 indexed citations breakdown →
12.
Lane, Nicholas D., Petko Georgiev, & Lorena Qendro. (2015). DeepEar. Apollo (University of Cambridge). 283–294. 225 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Claudio Forlivesi Breakdown of academic impact, for papers by Valentin Radu Breakdown of academic impact, for papers by Sugang Li Breakdown of academic impact, for papers by Chouchang Yang Breakdown of academic impact, for papers by Sumit Gupta Breakdown of academic impact, for papers by Mahanth Gowda Breakdown of academic impact, for papers by Hang Shi Breakdown of academic impact, for papers by Ting Cao Breakdown of academic impact, for papers by Tailin Liang
Rankless by CCL
2026