Feras Hatib

1.6k total citations · 1 hit paper
18 papers, 943 citations indexed

About

Feras Hatib is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Biomedical Engineering. According to data from OpenAlex, Feras Hatib has authored 18 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 15 papers in Surgery and 8 papers in Biomedical Engineering. Recurrent topics in Feras Hatib's work include Hemodynamic Monitoring and Therapy (14 papers), Cardiac, Anesthesia and Surgical Outcomes (7 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Feras Hatib is often cited by papers focused on Hemodynamic Monitoring and Therapy (14 papers), Cardiac, Anesthesia and Surgical Outcomes (7 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Feras Hatib collaborates with scholars based in United States, United Kingdom and Italy. Feras Hatib's co-authors include Zhongping Jian, Jos J. Settels, Maxime Cannesson, Michael R. Pinsky, Christine Lee, Joseph Rinehart, Karen S. Sibert, Thomas Scheeren, Simon Davies and Simon Tilma Vistisen and has published in prestigious journals such as Journal of Applied Physiology, Critical Care Medicine and Anesthesiology.

In The Last Decade

Feras Hatib

18 papers receiving 927 citations

Hit Papers

Machine-learning Algorithm to Predict Hypotension Based o... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feras Hatib United States 12 761 722 238 123 84 18 943
Zhongping Jian United States 10 638 0.8× 623 0.9× 190 0.8× 90 0.7× 83 1.0× 15 812
Karen S. Sibert United States 5 381 0.5× 291 0.4× 79 0.3× 34 0.3× 65 0.8× 18 526
Simon Tilma Vistisen Denmark 12 397 0.5× 340 0.5× 157 0.7× 50 0.4× 21 0.3× 43 487
Thomas Keeble United Kingdom 16 254 0.3× 336 0.5× 117 0.5× 82 0.7× 17 0.2× 85 725
Marijn P. Mulder Netherlands 6 269 0.4× 245 0.3× 72 0.3× 38 0.3× 109 1.3× 10 407
Pil Sang Song South Korea 14 236 0.3× 457 0.6× 67 0.3× 81 0.7× 36 0.4× 54 749
Roy Kazan Canada 12 328 0.4× 168 0.2× 92 0.4× 13 0.1× 70 0.8× 29 604
Jacqueline Baras Shreibati United States 12 193 0.3× 417 0.6× 186 0.8× 24 0.2× 41 0.5× 21 784
Stanislav Weiner United States 11 310 0.4× 1.5k 2.1× 262 1.1× 111 0.9× 9 0.1× 18 1.7k
Azin Alizadehasl Iran 14 160 0.2× 312 0.4× 76 0.3× 110 0.9× 8 0.1× 129 671

Countries citing papers authored by Feras Hatib

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Feras Hatib

This figure shows the co-authorship network connecting the top 25 collaborators of Feras Hatib. A scholar is included among the top collaborators of Feras Hatib 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 Feras Hatib. Feras Hatib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Jian, Zhongping, Xianfu Liu, Karim Kouz, et al.. (2025). Deep learning model to identify and validate hypotension endotypes in surgical and critically ill patients. British Journal of Anaesthesia. 134(2). 308–316. 4 indexed citations
3.
Davies, Simon, Daniel I. Sessler, Zhongping Jian, et al.. (2024). Comparison of Differences in Cohort (Forward) and Case Control (Backward) Methodologic Approaches for Validation of the Hypotension Prediction Index. Anesthesiology. 141(3). 443–452. 21 indexed citations
4.
García, Manuel Ignacio Monge, et al.. (2023). Relationship between intraventricular mechanical dyssynchrony and left ventricular systolic and diastolic performance: An in vivo experimental study. Physiological Reports. 11(4). e15607–e15607. 6 indexed citations
5.
Davies, Simon, et al.. (2022). Indicators of haemodynamic instability and left ventricular function in a porcine model of esmolol induced negative inotropy. Journal of Clinical Monitoring and Computing. 37(2). 651–659. 3 indexed citations
6.
Maheshwari, Kamal, Zhongping Jian, Jos J. Settels, et al.. (2020). Performance of the Hypotension Prediction Index with non-invasive arterial pressure waveforms in non-cardiac surgical patients. Journal of Clinical Monitoring and Computing. 35(1). 71–78. 37 indexed citations
7.
García, Manuel Ignacio Monge, Zhongping Jian, Feras Hatib, et al.. (2020). Dynamic Arterial Elastance as a Ventriculo-Arterial Coupling Index: An Experimental Animal Study. Frontiers in Physiology. 11. 284–284. 31 indexed citations
8.
García, Manuel Ignacio Monge, Zhongping Jian, Jos J. Settels, et al.. (2019). Determinants of left ventricular ejection fraction and a novel method to improve its assessment of myocardial contractility. Annals of Intensive Care. 9(1). 48–48. 31 indexed citations
9.
Davies, Simon, Simon Tilma Vistisen, Zhongping Jian, Feras Hatib, & Thomas Scheeren. (2019). Ability of an Arterial Waveform Analysis–Derived Hypotension Prediction Index to Predict Future Hypotensive Events in Surgical Patients. Anesthesia & Analgesia. 130(2). 352–359. 144 indexed citations
10.
García, Manuel Ignacio Monge, Zhongping Jian, Jos J. Settels, et al.. (2018). Performance comparison of ventricular and arterial dP/dtmax for assessing left ventricular systolic function during different experimental loading and contractile conditions. Critical Care. 22(1). 325–325. 62 indexed citations
11.
García, Manuel Ignacio Monge, Zhongping Jian, Jos J. Settels, et al.. (2018). Reliability of effective arterial elastance using peripheral arterial pressure as surrogate for left ventricular end-systolic pressure. Journal of Clinical Monitoring and Computing. 33(5). 803–813. 29 indexed citations
12.
Hatib, Feras, Zhongping Jian, Christine Lee, et al.. (2018). Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis. Anesthesiology. 129(4). 663–674. 345 indexed citations breakdown →
13.
Cannesson, Maxime, et al.. (2012). Effects of phenylephrine on cardiac output and venous return depend on the position of the heart on the Frank-Starling relationship. Journal of Applied Physiology. 113(2). 281–289. 77 indexed citations
14.
Cannesson, Maxime, et al.. (2011). Predicting fluid responsiveness with stroke volume variation despite multiple extrasystoles*. Critical Care Medicine. 40(1). 193–198. 26 indexed citations
15.
Hatib, Feras, Jos R. C. Jansen, & Michael R. Pinsky. (2011). Peripheral vascular decoupling in porcine endotoxic shock. Journal of Applied Physiology. 111(3). 853–860. 58 indexed citations
16.
Hatib, Feras, et al.. (2007). Calculating Arterial Pressure-Based Cardiac Output Using a Novel Measurement and Analysis Method. Biomedical Instrumentation & Technology. 41(5). 403–411. 60 indexed citations
17.
Horswell, Jeffrey L., et al.. (2006). STROKE VOLUME VARIATION TO STROKE VOLUME RELATIONSHIP USING A LESS INVASIVE ARTERIAL PRESSURE-BASED TECHNOLOGY.. Critical Care Medicine. 34. A60–A60. 1 indexed citations
18.
Hatib, Feras, et al.. (1998). Monitoring relative fluid balance alterations in haemodialysis of diabetic patients by electrical impedance. Physiological Measurement. 19(1). 35–52. 7 indexed citations

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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