Johan de Bie
Impact in
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Heart Rate Variability and Autonomic Control
Papers in
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- ECG Monitoring and Analysis 17
- Cardiac electrophysiology and arrhythmias 8
- Heart Rate Variability and Autonomic Control 5
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- Electronic Health Records Systems 2
- Co-authors
- C. Lamberti (1 shared paper)DAVID W. MORTARA (7 shared papers)Cees A. Swenne (5 shared papers)Gijsbert van den Brink (3 shared papers)Cristiana Corsi (5 shared papers)Stefano Severi (5 shared papers)Igor Diemberger (3 shared papers)Saeed Babaeizadeh (2 shared papers)
- Journals
- American Heart Journal (2 papers)Vision Research (2 papers)Nephrology Dialysis Transplantation (1 paper)European Journal of Applied Physiology (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Johan de Bie
29 papers receiving 358 citations
Peers
Comparison fields: 5 of 41
- Cardiology and Cardiovascular Medicine 289
- Family Practice 6
- Health Informatics 4
- Biomedical Engineering 52
- Cognitive Neuroscience 28
Countries citing papers authored by Johan de Bie
This map shows the geographic impact of Johan de Bie'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 Johan de Bie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan de Bie more than expected).
Fields of papers citing papers by Johan de Bie
This network shows the impact of papers produced by Johan de Bie. 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 Johan de Bie. The network helps show where Johan de Bie may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan de Bie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 61 | |
| 2 | 2003 | 60 | |
| 3 | 2013 | 48 | |
| 4 | 2017 | 40 | |
| 5 | 1993 | 30 | |
| 6 | 1993 | 17 | |
| 7 | 2019 | 17 | |
| 8 | 2007 | 16 | |
| 9 | 1987 | 14 | |
| 10 | 2017 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 1985 | 9 | |
| 13 | 1986 | 8 | |
| 14 | 2014 | 6 | |
| 15 | 1984 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2002 | 3 | |
| 19 | 2002 | 3 | |
| 20 | 2002 | 2 |
About Johan de Bie
Johan de Bie is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management, Cognitive Neuroscience, Human-Computer Interaction and Nephrology, having authored 31 papers that have together received 384 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (17 papers), Cardiac electrophysiology and arrhythmias (8 papers), Heart Rate Variability and Autonomic Control (5 papers), Visual perception and processing mechanisms (3 papers), Electronic Health Records Systems (2 papers), Motor Control and Adaptation (2 papers), Dialysis and Renal Disease Management (1 paper) and Non-Invasive Vital Sign Monitoring (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (289 citations), Family Practice (6 citations), Health Informatics (4 citations), Biomedical Engineering (52 citations) and Cognitive Neuroscience (28 citations). Johan de Bie has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include C. Lamberti, DAVID W. MORTARA, Cees A. Swenne, Gijsbert van den Brink, Cristiana Corsi, Stefano Severi, Igor Diemberger, Saeed Babaeizadeh, Fabio Badilini and Carlo Napolitano. Their work appears in journals such as American Heart Journal, Vision Research, Nephrology Dialysis Transplantation, European Journal of Applied Physiology and Computer Methods and Programs in Biomedicine.
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.