Philip de Chazal

6.4k citations
142 papers · 4.7k indexed · 1 hit paper · h-index 29

Philip de Chazal

137 papers receiving 4.5k citations

Hit Papers

Automatic Classification of Heartbeats Using ECG Morpholo...200420262011201820042505007501000

Peers

Philip de Chazal
Comparison fields: 5 of 141
  • Cardiology and Cardiovascular Medicine 2.5k
  • Cognitive Neuroscience 2.3k
  • Biomedical Engineering 1.8k
  • Physiology 1.5k
  • Pulmonary and Respiratory Medicine 697
Replace Anna Maria Bianchi with:
Anna Maria Bianchi Italy
Ronald M. Aarts Netherlands
R. Jané Spain
Daniel Álvarez Spain
Mathias Baumert Australia
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Luca Mainardi Italy
Philip de Chazal relative to Anna Maria Bianchi Italy Anna Maria Bianchi's profile →
Citations per field
00.5×3.7×
Anna Maria Bianchi · 1×
Citations per year

Countries citing papers authored by Philip de Chazal

Since Specialization
Citations

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

Fields of papers citing papers by Philip de Chazal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip de Chazal. 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 Philip de Chazal. The network helps show where Philip de Chazal may publish in the future.

Co-authorship network of co-authors of Philip de Chazal

This figure shows the co-authorship network connecting the top 25 collaborators of Philip de Chazal. A scholar is included among the top collaborators of Philip de Chazal 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 Philip de Chazal. Philip de Chazal 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
#WorkIndexed citations
1 1
2 0
3 2
4 3
5 6
6 4
7 42
8 2
9 68
10 9
11 9
12 0
13 18
14 7
15 5
16 25
17
Heartbeat classification system using adaptive learning from selected beats
4
18
A switching feature extraction system for ECG heartbeat classification
3
19
Visual feature analysis for automatic speechreading.
4
20
Identification of voice pathology using automated speech analysis.
12

About Philip de Chazal

Philip de Chazal is a scholar working on Endocrine and Autonomic Systems, Physiology and Cognitive Neuroscience, having authored 142 papers that have together received 4.7k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (71 papers), Non-Invasive Vital Sign Monitoring (39 papers) and EEG and Brain-Computer Interfaces (38 papers). The work is most often cited by research in Cognitive Neuroscience (2.3k citations), Cardiology and Cardiovascular Medicine (2.5k citations) and Endocrine and Autonomic Systems (609 citations). Philip de Chazal has collaborated with scholars based in Australia, Ireland and United States. Frequent co-authors include Richard B. Reilly, Muireann O’Dwyer, Conor Heneghan, Thomas Penzel, Peter A. Cistulli, Nadi Sadr, Philip Nolan, Mark O’Malley, Kate Sutherland and Branko G. Celler. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

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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