Fernando Andreotti

31 papers receiving 2.2k citations

Fernando Andreotti's Hit Papers

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging 2019 · 444 citations
4440+2+5Years since publication100200300400

Peers

Fernando Andreotti
Comparison fields: 5 of 79
  • Cognitive Neuroscience 1k
  • Cardiology and Cardiovascular Medicine 792
  • Health Information Management 99
  • Experimental and Cognitive Psychology 148
  • Signal Processing 59
Replace Vidya K. Sudarshan with:
Vidya K. Sudarshan Singapore
Kuang Chua Chua Singapore
Oh Shu Lih Singapore
Luay Fraiwan Jordan
Swamy Laxminarayan United States
Bryan Conroy United States
Carolina Varon Belgium
Reza Sameni United States
Pedro Miguel Fonseca Netherlands
Sajad Mousavi United States
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Citations per year

Countries citing papers authored by Fernando Andreotti

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Andreotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
Hit paper breakdown →
2019444
2
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Hit paper breakdown →
2018371
3 2016145
4 2017138
5 2016119
6 2018109
7 201485
8 201485
9 201582
10 201878
11 201875
12 201973
13 202173
14 201870
15 201759
16 201749
17
R-Peak Estimation using Multimodal Lead Switching
201434
18
Maternal signal estimation by Kalman filtering and Template Adaptation for fetal heart rate extraction
201326
19 202116
20
Visualising Convolutional Neural Network Decisions in Automatic Sleep Scoring
201815

About Fernando Andreotti

Fernando Andreotti is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Experimental and Cognitive Psychology, Health Information Management and Neurology, having authored 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (13 papers), EEG and Brain-Computer Interfaces (9 papers), Sleep and related disorders (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Artificial Intelligence in Healthcare (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Cognitive Neuroscience (1k citations), Cardiology and Cardiovascular Medicine (792 citations), Health Information Management (99 citations), Experimental and Cognitive Psychology (148 citations) and Signal Processing (59 citations). Fernando Andreotti has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Maarten De Vos, Navin Cooray, Huy Phan, Oliver Y. Chén, Sebastian Zaunseder, Joachim A. Behar, Julien Oster, Gari D. Clifford, Hagen Malberg and Christine Lo. Their work appears in journals such as Physiological Measurement, IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Scientific Reports.

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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