Mohanad Alkhodari

1.2k total citations · 1 hit paper
54 papers, 777 citations indexed

About

Mohanad Alkhodari is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Mohanad Alkhodari has authored 54 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 13 papers in Pulmonary and Respiratory Medicine and 10 papers in Biomedical Engineering. Recurrent topics in Mohanad Alkhodari's work include Heart Rate Variability and Autonomic Control (15 papers), Phonocardiography and Auscultation Techniques (13 papers) and ECG Monitoring and Analysis (9 papers). Mohanad Alkhodari is often cited by papers focused on Heart Rate Variability and Autonomic Control (15 papers), Phonocardiography and Auscultation Techniques (13 papers) and ECG Monitoring and Analysis (9 papers). Mohanad Alkhodari collaborates with scholars based in United Arab Emirates, Greece and United Kingdom. Mohanad Alkhodari's co-authors include Luay Fraiwan, Ahsan H. Khandoker, Mohammad Fraiwan, Leontios J. Hadjileontiadis, Herbert F. Jelinek, Basheer Khassawneh, Ali Ibnian, Adel Saleh, Mohammed Ghazal and Basil Mustafa and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Mohanad Alkhodari

48 papers receiving 753 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings

2021 145 citations Mohanad Alkhodari, Luay Fraiwan Computer Methods and Programs in Biomedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohanad Alkhodari United Arab Emirates	13	272	222	151	148	122	54	777
Micaela Morettini Italy	18	151 0.6×	303 1.4×	26 0.2×	54 0.4×	248 2.0×	120	887
Leandros Stefanopoulos Greece	10	140 0.5×	251 1.1×	70 0.5×	45 0.3×	74 0.6×	30	580
Delaram Jarchi United Kingdom	20	133 0.5×	272 1.2×	129 0.9×	85 0.6×	483 4.0×	60	1.0k
A. Macerata Italy	17	70 0.3×	702 3.2×	110 0.7×	57 0.4×	253 2.1×	70	1.0k
Evangelos B. Mazomenos United Kingdom	18	129 0.5×	376 1.7×	49 0.3×	207 1.4×	375 3.1×	68	1.1k
Maziyar Baran Pouyan United States	15	50 0.2×	228 1.0×	110 0.7×	50 0.3×	335 2.7×	36	868
Edmond Zahedi Malaysia	16	99 0.4×	421 1.9×	105 0.7×	60 0.4×	425 3.5×	75	800
Sunil B. Nagaraj Netherlands	15	47 0.2×	93 0.4×	36 0.2×	39 0.3×	59 0.5×	39	522
Fernando S. Schlindwein United Kingdom	22	131 0.5×	886 4.0×	57 0.4×	150 1.0×	254 2.1×	108	1.4k
Pedro Lopes de Melo Brazil	22	1.0k 3.8×	82 0.4×	21 0.1×	82 0.6×	192 1.6×	108	1.5k

Countries citing papers authored by Mohanad Alkhodari

Since Specialization

Citations

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

Fields of papers citing papers by Mohanad Alkhodari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohanad Alkhodari

This figure shows the co-authorship network connecting the top 25 collaborators of Mohanad Alkhodari. A scholar is included among the top collaborators of Mohanad Alkhodari 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 Mohanad Alkhodari. Mohanad Alkhodari 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

Alkhodari, Mohanad, et al.. (2025). Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising. Artificial Intelligence Review. 58(10).

Alkhodari, Mohanad, et al.. (2025). Exploring emotional climate recognition in peer conversations through bispectral features and affect dynamics. Computer Methods and Programs in Biomedicine. 265. 108695–108695. 2 indexed citations

Alkhodari, Mohanad, et al.. (2025). Machine Learning Identifies the Emotion Climate During Naturalistic Conversations Using Speech Features and Affect Dynamics. Human Behavior and Emerging Technologies. 2025(1).

Alkhodari, Mohanad, et al.. (2025). Extraction of fetal heartbeat locations in abdominal phonocardiograms using deep attention transformer. Computers in Biology and Medicine. 189. 110002–110002.

Alkhodari, Mohanad, et al.. (2024). EmoNet: Deep Learning-based Emotion Climate Recognition Using Peers’ Conversational Speech, Affect Dynamics, and Physiological Data. PubMed. 2024. 1–4. 1 indexed citations

Schuermans, Art, Mohanad Alkhodari, Detty Siti Nurdiati, et al.. (2024). Multi‐Organ Phenotypes of Offspring Born Following Hypertensive Disorders of Pregnancy: A Systematic Review. Journal of the American Heart Association. 13(21). e033617–e033617.

Alkhodari, Mohanad, et al.. (2023). Temporal patterns of pre- and post-natal target organ damage associated with hypertensive pregnancy: a systematic review. European Journal of Preventive Cardiology. 31(1). 77–99. 7 indexed citations

Khandoker, Ahsan H., et al.. (2023). Investigating the effects of beta-blockers on circadian heart rhythm using heart rate variability in ischemic heart disease with preserved ejection fraction. Scientific Reports. 13(1). 5828–5828. 6 indexed citations

Alkhodari, Mohanad, Chihiro Yoshida, Yoshiyuki Kasahara, et al.. (2023). Prediction of fetal RR intervals from maternal factors using machine learning models. Scientific Reports. 13(1). 4 indexed citations

10.

Rashid, Mamunur, et al.. (2022). Machine Learning for Screening Microvascular Complications in Type 2 Diabetic Patients Using Demographic, Clinical, and Laboratory Profiles. Journal of Clinical Medicine. 11(4). 903–903. 5 indexed citations

11.

Alkhodari, Mohanad, Amer Zakaria, & Nasser Qaddoumi. (2022). Using prior information to enhance microwave tomography images in bone health assessment. BioMedical Engineering OnLine. 21(1). 8–8. 6 indexed citations

12.

Khandoker, Ahsan H., Mohanad Alkhodari, Chihiro Yoshida, et al.. (2022). Similarities between maternal and fetal RR interval tachograms and their association with fetal development. Frontiers in Physiology. 13. 964755–964755. 6 indexed citations

13.

Alkhodari, Mohanad, Amer Zakaria, & Nasser Qaddoumi. (2021). Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study. Sensors. 21(21). 7078–7078. 12 indexed citations

14.

Alkhodari, Mohanad & Luay Fraiwan. (2021). Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings. Computer Methods and Programs in Biomedicine. 200. 105940–105940. 145 indexed citations breakdown →

15.

Alkhodari, Mohanad, Herbert F. Jelinek, Angelos Karlas, et al.. (2021). Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical Profiles. Frontiers in Cardiovascular Medicine. 8. 755968–755968. 16 indexed citations

16.

Alkhodari, Mohanad, et al.. (2020). Predicting Hypertensive Patients With Higher Risk of Developing Vascular Events Using Heart Rate Variability and Machine Learning. IEEE Access. 8. 192727–192739. 35 indexed citations

17.

Alkhodari, Mohanad, Herbert F. Jelinek, Naoufel Werghi, Leontios J. Hadjileontiadis, & Ahsan H. Khandoker. (2020). Estimating Left Ventricle Ejection Fraction Levels Using Circadian Heart Rate Variability Features and Support Vector Regression Models. IEEE Journal of Biomedical and Health Informatics. 25(3). 746–754. 29 indexed citations

18.

Fraiwan, Luay & Mohanad Alkhodari. (2020). Classification of Focal and Non-Focal Epileptic Patients Using Single Channel EEG and Long Short-Term Memory Learning System. IEEE Access. 8. 77255–77262. 41 indexed citations

19.

Fraiwan, Luay, et al.. (2018). Mobile Application for Ulcer Detection. The Open Biomedical Engineering Journal. 12(1). 16–26. 27 indexed citations

20.

Fraiwan, Luay, et al.. (2017). Diabetic foot ulcer mobile detection system using smart phone thermal camera: a feasibility study. BioMedical Engineering OnLine. 16(1). 117–117. 73 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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