Giorgio Quer

3.4k citations
71 papers · 2.2k indexed · h-index 22

Impact in

Papers in

Giorgio Quer

69 papers receiving 2.1k citations

Peers

Giorgio Quer
Comparison fields: 5 of 158
  • Health Informatics 239
  • Computer Networks and Communications 513
  • Modeling and Simulation 83
  • Health Information Management 83
  • Cardiology and Cardiovascular Medicine 399
Replace Afshin Shoeibi with:
Afshin Shoeibi Iran
Jinseok Lee South Korea
Jessilyn Dunn United States
Md Manjurul Ahsan United States
Michael Marschollek Germany
Fani Deligianni United Kingdom
Dewar Finlay United Kingdom
Mohammad Pourhomayoun United States
Ulaş Baran Baloğlu Türkiye
Charence Wong United Kingdom
Giorgio Quer relative to Afshin Shoeibi Iran Afshin Shoeibi's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Giorgio Quer, 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 Giorgio Quer Line = papers co-authored together Giorgio Quer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020322
2 2020300
3 2021206
4 2012146
5 2020121
6 2009118
7 202170
8 200963
9 202161
10 202251
11 201750
12 202042
13 201138
14 202135
15 201734
16 200934
17 202332
18 201828
19 201627
20 201327

About Giorgio Quer

Giorgio Quer is a scholar working on Cardiology and Cardiovascular Medicine, Computer Networks and Communications, Artificial Intelligence, Biomedical Engineering and Electrical and Electronic Engineering, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (13 papers), ECG Monitoring and Analysis (9 papers), Distributed Sensor Networks and Detection Algorithms (8 papers), Mobile Ad Hoc Networks (8 papers), Wireless Networks and Protocols (7 papers), Cooperative Communication and Network Coding (6 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Advanced MIMO Systems Optimization (6 papers). The work is most often cited by research in Health Informatics (239 citations), Computer Networks and Communications (513 citations), Modeling and Simulation (83 citations), Health Information Management (83 citations) and Cardiology and Cardiovascular Medicine (399 citations). Giorgio Quer has collaborated with scholars based in United States, Italy and Germany. Frequent 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. Their work appears in journals such as npj Digital Medicine, Nature Medicine, The Lancet Digital Health, JAMA Network Open and IEEE Journal of Biomedical and Health Informatics.

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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