Feras Hatib
- Health Informatics top 2%
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- Cardiac, Anesthesia and Surgical Outcomes 7
- Blood Pressure and Hypertension Studies 4
- Cardiovascular Function and Risk Factors 3
- Cardiovascular Health and Disease Prevention 3
- Cardiac pacing and defibrillation studies 2
- Surgery top 5%
- Hemodynamic Monitoring and Therapy 14
- Emergency Medicine top 10%
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- Non-Invasive Vital Sign Monitoring 7
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- Cardiac Imaging and Diagnostics 2
- Co-authors
- Zhongping JianJos J. SettelsMaxime CannessonMichael R. PinskyJoseph RinehartKaren S. SibertChristine LeeThomas Scheeren
- Journals
- Journal of Clinical Monitoring and Computing (3 papers)Anesthesiology (2 papers)Critical Care Medicine (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Feras Hatib
18 papers receiving 927 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Health Informatics 84
- Cardiology and Cardiovascular Medicine 722
- Surgery 761
- Critical Care and Intensive Care Medicine 58
- Emergency Medicine 60
Countries citing papers authored by Feras Hatib
This map shows the geographic impact of Feras Hatib'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 Feras Hatib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feras Hatib more than expected).
Fields of papers citing papers by Feras Hatib
This network shows the impact of papers produced by Feras Hatib. 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 Feras Hatib. The network helps show where Feras Hatib may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feras Hatib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 21 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 37 | |
| 7 | 2020 | 31 | |
| 8 | 2019 | 31 | |
| 9 | 2019 | 144 | |
| 10 | 2018 | 29 | |
| 11 | 2018 | 62 | |
| 12 | Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysisbreakdown → | 2018 | 345 |
| 13 | 2012 | 77 | |
| 14 | 2011 | 26 | |
| 15 | 2011 | 58 | |
| 16 | 2007 | 60 | |
| 17 | 2006 | 1 | |
| 18 | 1998 | 7 |
About Feras Hatib
Feras Hatib is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Biomedical Engineering, having authored 18 papers that have together received 943 indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (14 papers), Cardiac, Anesthesia and Surgical Outcomes (7 papers), Non-Invasive Vital Sign Monitoring (7 papers), Blood Pressure and Hypertension Studies (4 papers), Cardiovascular Function and Risk Factors (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Cardiac pacing and defibrillation studies (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Health Informatics (84 citations), Cardiology and Cardiovascular Medicine (722 citations) and Surgery (761 citations). Feras Hatib has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Zhongping Jian, Jos J. Settels, Maxime Cannesson, Michael R. Pinsky, Joseph Rinehart, Karen S. Sibert, Christine Lee, Thomas Scheeren, Simon Davies and Simon Tilma Vistisen. Their work appears in journals such as Journal of Clinical Monitoring and Computing, Anesthesiology, Critical Care Medicine, Journal of Applied Physiology and Anesthesia & Analgesia.
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.