Samer Alabed

18.0k total citations
86 papers, 967 citations indexed

About

Samer Alabed is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Samer Alabed has authored 86 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cardiology and Cardiovascular Medicine, 32 papers in Pulmonary and Respiratory Medicine and 32 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Samer Alabed's work include Pulmonary Hypertension Research and Treatments (30 papers), Cardiovascular Function and Risk Factors (28 papers) and Cardiac Imaging and Diagnostics (23 papers). Samer Alabed is often cited by papers focused on Pulmonary Hypertension Research and Treatments (30 papers), Cardiovascular Function and Risk Factors (28 papers) and Cardiac Imaging and Diagnostics (23 papers). Samer Alabed collaborates with scholars based in United Kingdom, Netherlands and United States. Samer Alabed's co-authors include Andrew J. Swift, David G. Kiely, Pankaj Garg, Tim Chico, Jim M. Wild, Robin Condliffe, Christopher Johns, Krit Dwivedi, Yousef Shahin and Ammar Sabouni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Samer Alabed

79 papers receiving 949 citations

Peers

Samer Alabed
Niels Risum Denmark
Rami N. Khouzam United States
Matthias P. Hilty Switzerland
Sulaiman Somani United States
Elena Lukaschuk United Kingdom
Niels Risum Denmark
Samer Alabed
Citations per year, relative to Samer Alabed Samer Alabed (= 1×) peers Niels Risum

Countries citing papers authored by Samer Alabed

Since Specialization
Citations

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

Fields of papers citing papers by Samer Alabed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samer Alabed

This figure shows the co-authorship network connecting the top 25 collaborators of Samer Alabed. A scholar is included among the top collaborators of Samer Alabed 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 Samer Alabed. Samer Alabed 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
1.
Sharkey, Michael, Samer Alabed, Krit Dwivedi, et al.. (2025). CT scoring system to defined thrombus distribution in chronic thromboembolic pulmonary hypertension. British Journal of Radiology. 99(1177). 83–91.
2.
Alabed, Samer, et al.. (2025). AI in healthcare: an introduction for clinicians. BMJ evidence-based medicine. 30(6). 376–380.
3.
Thompson, A. A. Roger, Mohammed Akil, Samer Alabed, et al.. (2024). The spectrum of systemic sclerosis-associated pulmonary hypertension: Insights from the ASPIRE registry. The Journal of Heart and Lung Transplantation. 43(10). 1629–1639. 2 indexed citations
4.
Dwivedi, Krit, Michael Sharkey, Samer Alabed, et al.. (2024). Improving Prognostication in Pulmonary Hypertension Using AI-quantified Fibrosis and Radiologic Severity Scoring at Baseline CT. Radiology. 310(2). e231718–e231718. 12 indexed citations
5.
Alabed, Samer, Rui Li, Gareth Matthews, et al.. (2024). Development and validation of AI-derived segmentation of four-chamber cine cardiac magnetic resonance. European Radiology Experimental. 8(1). 77–77. 3 indexed citations
6.
Matthews, S., Jonathan Taylor, Michael Sharkey, et al.. (2023). Evaluating the performance of artificial intelligence software for lung nodule detection on chest radiographs in a retrospective real-world UK population. BMJ Open. 13(11). e077348–e077348. 11 indexed citations
7.
Alabed, Samer, Krit Dwivedi, Christopher Johns, et al.. (2023). Semi-automatic thresholding of RV trabeculation improves repeatability and diagnostic value in suspected pulmonary hypertension. Frontiers in Cardiovascular Medicine. 9. 1037385–1037385. 2 indexed citations
8.
Grafton‐Clarke, Ciaran, Gareth Matthews, Rebecca Gosling, et al.. (2023). The Left Atrial Area Derived Cardiovascular Magnetic Resonance Left Ventricular Filling Pressure Equation Shows Superiority over Integrated Echocardiography. Medicina. 59(11). 1952–1952. 1 indexed citations
9.
Matthews, Gareth, Xiaodan Zhao, Rui Li, et al.. (2023). Cardiac MR modelling of systolic and diastolic blood pressure. Open Heart. 10(2). e002484–e002484.
10.
Garg, Pankaj, Wasim Javed, Samer Alabed, et al.. (2023). An acute increase in Left Atrial volume and left ventricular filling pressure during Adenosine administered myocardial hyperaemia: CMR First-Pass Perfusion Study. BMC Cardiovascular Disorders. 23(1). 246–246. 5 indexed citations
11.
Grafton‐Clarke, Ciaran, Pankaj Garg, Andrew J. Swift, et al.. (2023). Cardiac Magnetic Resonance Left Ventricular Filling Pressure is Linked to Symptoms, Signs and Prognosis in Heart Failure. ESC Heart Failure. 10(5). 3067–3076. 4 indexed citations
12.
Li, Rui, Ciaran Grafton‐Clarke, Samer Alabed, et al.. (2023). Automated 4D flow cardiac MRI pipeline to derive peak mitral inflow diastolic velocities using short-axis cine stack: two centre validation study against echocardiographic pulse-wave doppler. BMC Cardiovascular Disorders. 23(1). 24–24. 6 indexed citations
14.
Alabed, Samer, Rui Li, David P Ripley, et al.. (2022). The Role of Artificial Intelligence in Predicting Outcomes by Cardiovascular Magnetic Resonance: A Comprehensive Systematic Review. Medicina. 58(8). 1087–1087. 6 indexed citations
15.
Shahin, Yousef, Faisal Alandejani, Krit Dwivedi, et al.. (2022). Severe pulmonary hypertension associated with lung disease is characterised by a loss of small pulmonary vessels on quantitative computed tomography. ERJ Open Research. 8(2). 503–2021. 19 indexed citations
16.
Shahin, Yousef, Samer Alabed, Juerg Tschirren, et al.. (2022). Quantitative CT Evaluation of Small Pulmonary Vessels Has Functional and Prognostic Value in Pulmonary Hypertension. Radiology. 305(2). 431–440. 8 indexed citations
17.
Garg, Pankaj, Rebecca Gosling, Peter Swoboda, et al.. (2022). Cardiac magnetic resonance identifies raised left ventricular filling pressure: prognostic implications. European Heart Journal. 43(26). 2511–2522. 45 indexed citations
18.
Kaur, Harjinder, Samer Alabed, Donnie Cameron, et al.. (2020). Left Ventricular Blood Flow Kinetic Energy Assessment by 4D Flow Cardiovascular Magnetic Resonance: A Systematic Review of the Clinical Relevance. Journal of Cardiovascular Development and Disease. 7(3). 37–37. 19 indexed citations
19.
Jones, Rachel, Samer Alabed, Paul Morris, et al.. (2020). Meta-Analysis of Echocardiographic Quantification of Left Ventricular Filling Pressure. ESC Heart Failure. 8(1). 566–576. 35 indexed citations
20.
Alabed, Samer, Giordano Pérez‐Gaxiola, & Amanda Burls. (2016). Colchicine for children with pericarditis: systematic review of clinical studies. Archives of Disease in Childhood. 101(10). 953–956. 14 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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