Lorena Qendro

852 citations
14 papers · 632 · 1 hit paper · h-index 7

Impact in

Papers in

Lorena Qendro

11 papers receiving 621 citations

Lorena Qendro's Hit Papers

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices 2016 · 320 citations
3200+3+6Years since publication100200300

Peers

Lorena Qendro
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 352
  • Computer Networks and Communications 221
  • Signal Processing 86
  • Artificial Intelligence 209
  • Hardware and Architecture 42
Replace Claudio Forlivesi with:
Claudio Forlivesi United Kingdom
Valentin Radu United Kingdom
Sugang Li United States
Sumit Gupta India
Yangjie Cao China
Chouchang Yang United States
Xiaokun Yang United States
Sihai Tang United States
Yasue Kishino Japan
Hang Shi China
Lorena Qendro relative to Claudio Forlivesi United Kingdom Claudio Forlivesi's profile →
Citations per field
00.5×1.7×
Claudio Forlivesi · 1×
Citations per year

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-authors

The 21 scholars most cited alongside Lorena Qendro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lorena Qendro Line = papers co-authored together Lorena Qendro links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices
Hit paper breakdown →
2016320
2 2015236
3 202032
4 202118
5 20247
6 20226
7 20246
8 20242
9 20212
10 20222
11 20221
12 20260
13 20250
14 20230

About Lorena Qendro

Lorena Qendro is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering, having authored 14 papers that have together received 632 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (2 papers), Context-Aware Activity Recognition Systems (2 papers), Anomaly Detection Techniques and Applications (2 papers), Music and Audio Processing (2 papers), Higher Education Learning Practices (1 paper), Innovative Energy Harvesting Technologies (1 paper), Age of Information Optimization (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (352 citations), Computer Networks and Communications (221 citations), Signal Processing (86 citations), Artificial Intelligence (209 citations) and Hardware and Architecture (42 citations). Lorena Qendro has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Nicholas D. Lane, Petko Georgiev, Fahim Kawsar, Lei Jiao, Claudio Forlivesi, Sourav Bhattacharya, Cecilia Mascolo, Ting Dang, Xia Tong and Jing Han. Their work appears in journals such as IEEE Pervasive Computing, IEEE Journal of Biomedical and Health Informatics, Pervasive and Mobile Computing, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) and ORCA Online Research @Cardiff (Cardiff University).

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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