Mohammad I. Daoud

1.8k total citations
82 papers, 1.3k citations indexed

About

Mohammad I. Daoud is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad I. Daoud has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 25 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad I. Daoud's work include Ultrasound Imaging and Elastography (17 papers), Photoacoustic and Ultrasonic Imaging (16 papers) and AI in cancer detection (12 papers). Mohammad I. Daoud is often cited by papers focused on Ultrasound Imaging and Elastography (17 papers), Photoacoustic and Ultrasonic Imaging (16 papers) and AI in cancer detection (12 papers). Mohammad I. Daoud collaborates with scholars based in Jordan, Canada and United Arab Emirates. Mohammad I. Daoud's co-authors include Rami Alazrai, Nawwaf Kharma, Hisham Alwanni, Mostafa Z. Ali, Falah Awwad, Mohammad Momani, James C. Lacefield, Purang Abolmaesumi, Robert Rohling and Farhad Imani and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Expert Systems with Applications.

In The Last Decade

Mohammad I. Daoud

76 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad I. Daoud Jordan	20	348	290	265	261	257	82	1.3k
Yi Shan China	20	264 0.8×	149 0.5×	119 0.4×	298 1.1×	688 2.7×	89	1.7k
Marwa Qaraqe Qatar	20	337 1.0×	224 0.8×	204 0.8×	249 1.0×	136 0.5×	150	1.4k
Theodore L. Willke United States	17	457 1.3×	222 0.8×	38 0.1×	320 1.2×	288 1.1×	57	1.3k
Khondokar Fida Hasan Australia	14	263 0.8×	103 0.4×	91 0.3×	403 1.5×	234 0.9×	24	1.1k
P. Karthigaikumar India	16	70 0.2×	139 0.5×	138 0.5×	286 1.1×	381 1.5×	60	948
Yinan Kong Australia	18	59 0.2×	212 0.7×	91 0.3×	751 2.9×	478 1.9×	88	1.5k
Hucheng Zhou China	17	306 0.9×	85 0.3×	35 0.1×	147 0.6×	160 0.6×	43	750
Weidong Fang China	25	617 1.8×	485 1.7×	77 0.3×	287 1.1×	102 0.4×	123	2.0k
Xin Qi China	14	215 0.6×	182 0.6×	45 0.2×	313 1.2×	103 0.4×	44	838

Countries citing papers authored by Mohammad I. Daoud

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad I. Daoud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad I. Daoud. 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 Mohammad I. Daoud. The network helps show where Mohammad I. Daoud may publish in the future.

Co-authorship network of co-authors of Mohammad I. Daoud

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad I. Daoud. A scholar is included among the top collaborators of Mohammad I. Daoud 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 Mohammad I. Daoud. Mohammad I. Daoud 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

Tang, Anthony, et al.. (2025). Faster R-CNN approach for estimating global QRS duration in electrocardiograms with a limited quantity of annotated data. Computers in Biology and Medicine. 192(Pt A). 110200–110200.

Alazrai, Rami, et al.. (2025). Electroencephalogram Dataset of Visually Imagined Arabic Alphabet for Brain–Computer Interface Design and Evaluation. Data. 10(6). 81–81.

Daoud, Mohammad I., et al.. (2024). ANFIS-AMAL: Android Malware Threat Assessment Using Ensemble of ANFIS and GWO. Cybernetics and Information Technologies. 24(3). 39–58. 1 indexed citations

Abdel-Nabi, Heba, Mostafa Z. Ali, Arafat Awajan, et al.. (2023). An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization. Information Sciences. 628. 92–133. 6 indexed citations

Abdel-Nabi, Heba, Mostafa Z. Ali, Arafat Awajan, et al.. (2023). A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks. Cluster Computing. 26(5). 3145–3185. 22 indexed citations

Alazrai, Rami, et al.. (2022). A CSI-Based Multi-Environment Human Activity Recognition Framework. Applied Sciences. 12(2). 930–930. 23 indexed citations

Daoud, Mohammad I., et al.. (2022). An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images. Sensors. 22(18). 6721–6721. 6 indexed citations

Alouneh, Sahel, et al.. (2021). Methods to achieve effective web-based learning management modules: MyGJU versus Moodle. PeerJ Computer Science. 7. e498–e498. 4 indexed citations

Daoud, Mohammad I., et al.. (2020). Breast Tumor Classification in Ultrasound Images Using Combined Deep and Handcrafted Features. Sensors. 20(23). 6838–6838. 36 indexed citations

10.

Alazrai, Rami, et al.. (2020). An End-to-End Deep Learning Framework for Recognizing Human-to-Human Interactions Using Wi-Fi Signals. IEEE Access. 8. 197695–197710. 40 indexed citations

11.

Daoud, Mohammad I., et al.. (2020). A Game-Based Rehabilitation System for Upper-Limb Cerebral Palsy: A Feasibility Study. Sensors. 20(8). 2416–2416. 17 indexed citations

12.

Alazrai, Rami, et al.. (2020). A dataset for Wi-Fi-based human-to-human interaction recognition. SHILAP Revista de lepidopterología. 31. 105668–105668. 39 indexed citations

13.

Alazrai, Rami, Hisham Alwanni, & Mohammad I. Daoud. (2019). EEG-based BCI system for decoding finger movements within the same hand. Neuroscience Letters. 698. 113–120. 60 indexed citations

14.

Alazrai, Rami, Khalil M. Ahmad Yousef, & Mohammad I. Daoud. (2019). Emotion Recognition Based on Decoupling the Spatial Context from the Temporal Dynamics of Facial Expressions. 1–6.

15.

Alazrai, Rami, et al.. (2019). A Time-Frequency Distribution Based Approach for Detecting Tonic Cold Pain using EEG Signals. 35. 589–592. 3 indexed citations

16.

Alazrai, Rami, et al.. (2017). EEG-based BCI system for classifying motor imagery tasks of the same hand using empirical mode decomposition. International Conference on Electrical and Electronics Engineering. 5 indexed citations

17.

Daoud, Mohammad I., Robert Rohling, Septimiu E. Salcudean, & Purang Abolmaesumi. (2015). Needle detection in curvilinear ultrasound images based on the reflection pattern of circular ultrasound waves. Medical Physics. 42(11). 6221–6233. 17 indexed citations

18.

Daoud, Mohammad I., Parvin Mousavi, Farhad Imani, Robert Rohling, & Purang Abolmaesumi. (2012). Tissue Classification Using Ultrasound-Induced Variations in Acoustic Backscattering Features. IEEE Transactions on Biomedical Engineering. 60(2). 310–320. 27 indexed citations

19.

Imani, Farhad, et al.. (2011). Monitoring of Tissue Ablation Using Time Series of Ultrasound RF Data. Lecture notes in computer science. 14(Pt 1). 379–386. 11 indexed citations

20.

Shen, Yi‐Ting, Mohammad I. Daoud, & James C. Lacefield. (2010). Computational models of distributed aberration in ultrasound breast imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 57(12). 2627–2636. 3 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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