Khaled Rjoob

432 total citations
22 papers, 137 citations indexed

About

Khaled Rjoob is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Health Information Management. According to data from OpenAlex, Khaled Rjoob has authored 22 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 5 papers in Cognitive Neuroscience and 3 papers in Health Information Management. Recurrent topics in Khaled Rjoob's work include ECG Monitoring and Analysis (12 papers), Cardiac electrophysiology and arrhythmias (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Khaled Rjoob is often cited by papers focused on ECG Monitoring and Analysis (12 papers), Cardiac electrophysiology and arrhythmias (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Khaled Rjoob collaborates with scholars based in United Kingdom, Ireland and Germany. Khaled Rjoob's co-authors include Victoria McGilligan, Raymond Bond, Aaron Peace, Stephen J Leslie, Dewar Finlay, Anne McShane, Daniel Guldenring, Peter W. Macfarlane, Rob Polson and Janet Heaton and has published in prestigious journals such as European Respiratory Journal, Computers in Biology and Medicine and Journal of Infection.

In The Last Decade

Khaled Rjoob

21 papers receiving 133 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Khaled Rjoob United Kingdom	7	58	21	20	17	17	22	137
Marcelo Martins Pinto Filho Brazil	8	208 3.6×	24 1.1×	23 1.1×	13 0.8×	20 1.2×	21	297
Nidhi Naik United States	5	140 2.4×	27 1.3×	51 2.5×	52 3.1×	18 1.1×	9	264
Fayzan Chaudhry United States	8	147 2.5×	47 2.2×	57 2.9×	9 0.5×	35 2.1×	10	280
Joshua Lampert United States	8	116 2.0×	11 0.5×	21 1.1×	16 0.9×	33 1.9×	32	196
Hidde Bleijendaal Netherlands	9	134 2.3×	9 0.4×	26 1.3×	8 0.5×	20 1.2×	12	191
Omid Halse United Kingdom	8	11 0.2×	22 1.0×	9 0.5×	44 2.6×	39 2.3×	18	243
Timothy Tipoe United Kingdom	3	82 1.4×	39 1.9×	9 0.5×	2 0.1×	5 0.3×	4	156
Graham Cole United Kingdom	5	76 1.3×	13 0.6×	2 0.1×	17 1.0×	44 2.6×	12	199
Carolyn J. Park United States	6	257 4.4×	28 1.3×	10 0.5×	7 0.4×	51 3.0×	23	331
Lucía Florio Uruguay	8	111 1.9×	8 0.4×	7 0.3×	22 1.3×	15 0.9×	44	203

Countries citing papers authored by Khaled Rjoob

Since Specialization

Citations

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

Fields of papers citing papers by Khaled Rjoob

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khaled Rjoob

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

All Works

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20 of 20 papers shown

Cheetham, Nathan J., Ruth C. E. Bowyer, JD Carpentieri, et al.. (2025). Social determinants of recovery from ongoing symptoms following COVID-19 in two UK longitudinal studies: a prospective cohort study. BMJ Public Health. 3(1). e001166–e001166. 4 indexed citations

Sudre, Carole H., Michela Antonelli, Nathan J. Cheetham, et al.. (2024). Symptoms before and after COVID-19: a population and case–control study using prospective data. European Respiratory Journal. 64(1). 2301853–2301853. 1 indexed citations

Antonelli, Michela, Rose Penfold, Liane S. Canas, et al.. (2023). SARS-CoV-2 infection following booster vaccination: Illness and symptom profile in a prospective, observational community-based case-control study. Journal of Infection. 87(6). 506–515. 20 indexed citations

Rjoob, Khaled, Victoria McGilligan, Raymond Bond, et al.. (2023). What do we mean by complex percutaneous coronary intervention? An assessment of agreement amongst interventional cardiologists for defining complexity. Catheterization and Cardiovascular Interventions. 102(1). 1–10. 2 indexed citations

Watt, Jonathan, Khaled Rjoob, Raymond Bond, et al.. (2022). Using latent class analysis to identify clinical features of patients with occlusive myocardial infarction: Preangiogram prediction remains difficult. Clinical Cardiology. 45(2). 231–238. 2 indexed citations

Rjoob, Khaled, Raymond Bond, Dewar Finlay, et al.. (2022). Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications. Artificial Intelligence in Medicine. 132. 102381–102381. 31 indexed citations

Bear, Laura, Yeşim Serinağaoğlu Doğrusöz, Wilson Good, et al.. (2021). The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity. Computers in Biology and Medicine. 136. 104666–104666. 7 indexed citations

Rjoob, Khaled, Raymond Bond, Dewar Finlay, et al.. (2021). Reliable Deep Learning–Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation. JMIR Medical Informatics. 9(4). e25347–e25347. 8 indexed citations

Bond, Raymond, Victoria McGilligan, Stephen J Leslie, et al.. (2021). Comparing Single-Page, Multipage, and Conversational Digital Forms in Health Care: Usability Study. JMIR Human Factors. 8(2). e25787–e25787. 6 indexed citations

10.

Guldenring, Daniel, Dewar Finlay, Raymond Bond, et al.. (2021). Estimating the Minimal Size of Training Datasets Required for the Development of Linear ECG-Lead Transformations. Ulster University Research Portal (Ulster University). 1–4.

11.

Rjoob, Khaled, Raymond Bond, Dewar Finlay, et al.. (2020). Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: A systematic review and meta-analysis. Journal of Electrocardiology. 62. 116–123. 13 indexed citations

12.

Rjoob, Khaled, Dewar Finlay, Victoria McGilligan, et al.. (2020). Near future artificial intelligence in interventional cardiology: new opportunities and challenges to improve the care of STEMI patients. Ulster University Research Portal (Ulster University). 1 indexed citations

13.

Rjoob, Khaled, Victoria McGilligan, Raymond Bond, et al.. (2020). Improving the Detection of Acute Coronary Syndrome Using Machine Learning of Blood Biomarkers. Computing in cardiology. 1 indexed citations

14.

Heaton, Janet, Rob Polson, Raymond Bond, et al.. (2020). Systematic Review of Clinical Decision Support Systems for Prehospital Acute Coronary Syndrome Identification. Critical Pathways in Cardiology A Journal of Evidence-Based Medicine. 19(3). 119–125. 15 indexed citations

15.

Rjoob, Khaled, Aaron Peace, Raymond Bond, et al.. (2019). Machine Learning Improves the Detection of Misplaced V1 and V2 Electrodes During 12-Lead Electrocardiogram Acquisition. Computing in Cardiology Conference. 1–4. 2 indexed citations

16.

Kennedy, Alan, James McLaughlin, Diane McLaughlin, et al.. (2019). Early Prediction of Sepsis Considering Early Warning Scoring Systems. Computing in Cardiology Conference. 1–4. 3 indexed citations

17.

Rjoob, Khaled, Raymond Bond, Dewar Finlay, et al.. (2019). Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12‑lead electrocardiogram. Journal of Electrocardiology. 57. 39–43. 6 indexed citations

18.

McGilligan, Victoria, Steven Watterson, Khaled Rjoob, et al.. (2019). An exploratory analysis investigating blood protein biomarkers to augment ECG diagnosis of ACS. Journal of Electrocardiology. 57. S92–S97. 2 indexed citations

19.

Bond, Raymond, et al.. (2019). Role of dashboards in improving decision making in healthcare: Review of the literature. Ulster University Research Portal (Ulster University). 215–219. 6 indexed citations

20.

Rjoob, Khaled, Raymond Bond, Dewar Finlay, et al.. (2019). Machine Learning Improves the Detection of Misplaced v1 and v2 Electrodes During 12-Lead Electrocardiogram Acquisition. Computing in cardiology. 1 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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