Giorgio Quer

3.4k total citations
71 papers, 2.2k citations indexed

About

Giorgio Quer is a scholar working on Cardiology and Cardiovascular Medicine, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Giorgio Quer has authored 71 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 22 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Giorgio Quer's work include Heart Rate Variability and Autonomic Control (13 papers), ECG Monitoring and Analysis (9 papers) and Mobile Ad Hoc Networks (8 papers). Giorgio Quer is often cited by papers focused on Heart Rate Variability and Autonomic Control (13 papers), ECG Monitoring and Analysis (9 papers) and Mobile Ad Hoc Networks (8 papers). Giorgio Quer collaborates with scholars based in United States, Italy and Germany. Giorgio Quer's co-authors include Eric J. Topol, Steven R. Steinhubl, Michele Zorzi, Michele Rossi, Rima Arnaout, Jennifer M. Radin, Riccardo Masiero, Matteo Gadaleta, Katie Baca-Motes and Edward Ramos and has published in prestigious journals such as The Lancet, Circulation and Nature Medicine.

In The Last Decade

Giorgio Quer

69 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giorgio Quer United States 22 513 399 388 373 312 71 2.2k
Jinseok Lee South Korea 32 170 0.3× 1.3k 3.2× 1.2k 3.1× 259 0.7× 336 1.1× 301 4.3k
R.S.H. Istepanian United Kingdom 27 671 1.3× 398 1.0× 703 1.8× 398 1.1× 173 0.6× 118 3.0k
Lei Clifton United Kingdom 23 256 0.5× 196 0.5× 264 0.7× 71 0.2× 1.1k 3.5× 72 2.8k
Francesco Amato Italy 34 1.5k 2.8× 129 0.3× 473 1.2× 235 0.6× 276 0.9× 304 6.3k
Rajib Rana Australia 22 307 0.6× 74 0.2× 113 0.3× 402 1.1× 647 2.1× 51 2.0k
Kayvan Najarian United States 31 74 0.1× 551 1.4× 775 2.0× 54 0.1× 1.0k 3.2× 283 4.3k
D. Kalra United States 28 81 0.2× 671 1.7× 157 0.4× 100 0.3× 205 0.7× 175 3.4k
Amir M. Rahmani United States 24 747 1.5× 280 0.7× 448 1.2× 414 1.1× 299 1.0× 114 2.2k
Faraz S. Ahmad United States 26 674 1.3× 576 1.4× 114 0.3× 88 0.2× 260 0.8× 120 2.3k
Afshin Shoeibi Iran 29 82 0.2× 328 0.8× 191 0.5× 98 0.3× 836 2.7× 60 2.9k

Countries citing papers authored by Giorgio Quer

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Quer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Quer

This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Quer. A scholar is included among the top collaborators of Giorgio Quer 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 Giorgio Quer. Giorgio Quer 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
1.
Ariniello, Lauren, Katie Baca-Motes, Arij Faksh, et al.. (2025). Association between wearable sensor signals and expected hormonal changes in pregnancy. EBioMedicine. 119. 105888–105888. 1 indexed citations
2.
Krieger, Katherine, Irbaz Hameed, Giorgio Quer, et al.. (2025). Generative pre-trained transformer reinforces historical gender bias in diagnosing women’s cardiovascular symptoms. European Heart Journal - Digital Health. 7(2). ztaf131–ztaf131.
3.
Pandit, Jay, Matteo Gadaleta, Juan A. Raygoza Garay, et al.. (2025). Multimodal AI correlates of glucose spikes in people with normal glucose regulation, pre-diabetes and type 2 diabetes. Nature Medicine. 31(9). 3121–3127. 5 indexed citations
4.
Lee, Victoria, et al.. (2025). Using the PowerMom Digital Health Platform to Support Prenatal Mental Health and Maternal Health Outcomes: Observational Cohort Study. JMIR Mental Health. 12. e70151–e70151. 1 indexed citations
5.
Jaiswal, Stuti J., et al.. (2024). Using New Technologies and Wearables for Characterizing Sleep in Population-based Studies. Current Sleep Medicine Reports. 10(1). 82–92. 6 indexed citations
6.
Quer, Giorgio, Erin Coughlin, Jorge Villacian, et al.. (2024). Feasibility of wearable sensor signals and self-reported symptoms to prompt at-home testing for acute respiratory viruses in the USA (DETECT-AHEAD): a decentralised, randomised controlled trial. The Lancet Digital Health. 6(8). e546–e554. 5 indexed citations
7.
Pandey, Amitabh C., et al.. (2024). AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment. npj Digital Medicine. 7(1). 3 indexed citations
8.
Gilbert, Stephen, Katie Baca-Motes, Giorgio Quer, Marc Wiedermann, & Dirk Brockmann. (2024). Citizen data sovereignty is key to wearables and wellness data reuse for the common good. npj Digital Medicine. 7(1). 27–27. 6 indexed citations
9.
Jaiswal, Stuti J., Matteo Gadaleta, Giorgio Quer, et al.. (2024). Objectively measured peri-vaccination sleep does not predict COVID-19 breakthrough infection. Scientific Reports. 14(1). 4655–4655. 2 indexed citations
10.
Quer, Giorgio & Eric J. Topol. (2024). The potential for large language models to transform cardiovascular medicine. The Lancet Digital Health. 6(10). e767–e771. 19 indexed citations
11.
Ariniello, Lauren, et al.. (2024). A pilot study exploring novel contexts for out-of-office blood pressure measurement. Frontiers in Cardiovascular Medicine. 11. 1351746–1351746. 1 indexed citations
12.
Beestrum, Molly, et al.. (2023). Heart Rate Variability in Psychiatric Disorders: A Systematic Review. Neuropsychiatric Disease and Treatment. Volume 19. 2217–2239. 16 indexed citations
13.
Gadaleta, Matteo, Patrick Harrington, Eric Barnhill, et al.. (2023). Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias. npj Digital Medicine. 6(1). 229–229. 32 indexed citations
14.
Quer, Giorgio, Matteo Gadaleta, Jennifer M. Radin, et al.. (2022). Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands. npj Digital Medicine. 5(1). 49–49. 22 indexed citations
15.
Radin, Jennifer M., et al.. (2021). The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections. The Lancet Digital Health. 3(7). e455–e461. 21 indexed citations
16.
Gadaleta, Matteo, Jennifer M. Radin, Katie Baca-Motes, et al.. (2021). Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms. npj Digital Medicine. 4(1). 166–166. 70 indexed citations
17.
Quer, Giorgio, Jennifer M. Radin, Matteo Gadaleta, et al.. (2020). Wearable sensor data and self-reported symptoms for COVID-19 detection. Nature Medicine. 27(1). 73–77. 300 indexed citations
18.
19.
Gadaleta, Matteo, Michele Rossi, Eric J. Topol, Steven R. Steinhubl, & Giorgio Quer. (2019). On the Effectiveness of Deep Representation Learning: The Atrial Fibrillation Case. Computer. 52(11). 18–29. 7 indexed citations
20.
Quer, Giorgio, et al.. (2017). Abstract 18610: Preliminary Evaluation of a Wrist Wearable Heart Rate Sensor for the Detection of Undiagnosed Atrial Fibrillation in a Real-World Setting. Circulation. 1 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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