Ayman Ibaida

675 total citations
22 papers, 457 citations indexed

About

Ayman Ibaida is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Ayman Ibaida has authored 22 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cognitive Neuroscience. Recurrent topics in Ayman Ibaida's work include ECG Monitoring and Analysis (8 papers), Advanced Steganography and Watermarking Techniques (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Ayman Ibaida is often cited by papers focused on ECG Monitoring and Analysis (8 papers), Advanced Steganography and Watermarking Techniques (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Ayman Ibaida collaborates with scholars based in Australia, Iraq and United States. Ayman Ibaida's co-authors include Ibrahim Khalil, Dhiah Al‐Shammary, Abdur Rahim Mohammad Forkan, Zahir Tari, Khandakar Ahmed, Ron van Schyndel, Alsharif Abuadbba, Naveen Chilamkurti, Yuan Miao and Fahim Sufi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Ayman Ibaida

20 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayman Ibaida Australia 10 207 158 92 72 69 22 457
Wan Azizun Wan Adnan Malaysia 14 264 1.3× 44 0.3× 151 1.6× 43 0.6× 71 1.0× 60 507
Majid Komeili Canada 11 167 0.8× 107 0.7× 85 0.9× 9 0.1× 107 1.6× 33 432
Dhiah Al‐Shammary Iraq 12 64 0.3× 51 0.3× 63 0.7× 111 1.5× 95 1.4× 51 305
Jonathan Woodbridge United States 8 88 0.4× 50 0.3× 104 1.1× 146 2.0× 117 1.7× 20 359
Hadi Banaee Sweden 6 94 0.5× 43 0.3× 39 0.4× 60 0.8× 81 1.2× 13 351
Allen C. Cheng United States 8 76 0.4× 208 1.3× 27 0.3× 83 1.2× 45 0.7× 15 468
Giridhar Reddy Bojja United States 9 49 0.2× 33 0.2× 38 0.4× 103 1.4× 109 1.6× 21 292
Fatima Alshehri Saudi Arabia 4 75 0.4× 21 0.1× 20 0.2× 120 1.7× 113 1.6× 6 420
Simon Eberz United Kingdom 9 54 0.3× 48 0.3× 161 1.8× 52 0.7× 60 0.9× 15 347
S. Edward Jero India 9 204 1.0× 89 0.6× 52 0.6× 18 0.3× 20 0.3× 17 293

Countries citing papers authored by Ayman Ibaida

Since Specialization
Citations

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

Fields of papers citing papers by Ayman Ibaida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayman Ibaida

This figure shows the co-authorship network connecting the top 25 collaborators of Ayman Ibaida. A scholar is included among the top collaborators of Ayman Ibaida 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 Ayman Ibaida. Ayman Ibaida 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.
Al‐Shammary, Dhiah, et al.. (2025). Feature selection based on Mahalanobis distance for early Parkinson disease classification. SHILAP Revista de lepidopterología. 7. 100177–100177. 2 indexed citations
2.
Mohammed, Mostafa Abdulghafoor, et al.. (2025). EEG-Based Emotion Detection Using Roberts Similarity and PSO Feature Selection. IEEE Access. 13. 79353–79366.
3.
Al‐Shammary, Dhiah, et al.. (2024). Efficient static minkowski clustering for web service aggregation. International Journal of Information Technology. 18(1). 479–491. 1 indexed citations
4.
Al‐Shammary, Dhiah, et al.. (2024). Fractal feature selection model for enhancing high-dimensional biological problems. BMC Bioinformatics. 25(1). 12–12. 9 indexed citations
5.
Al‐Shammary, Dhiah, et al.. (2024). A proactive grey wolf optimization for improving bioinformatic systems with high dimensional data. International Journal of Information Technology. 16(8). 4797–4814. 4 indexed citations
6.
Al‐Shammary, Dhiah, et al.. (2024). Efficient ECG classification based on Chi-square distance for arrhythmia detection. Journal of Electronic Science and Technology. 22(2). 100249–100249. 17 indexed citations
7.
Al‐Shammary, Dhiah, et al.. (2024). A novel brain EEG clustering based on Minkowski distance to improve intelligent epilepsy diagnosis. Informatics in Medicine Unlocked. 47. 101492–101492. 9 indexed citations
8.
Ibaida, Ayman, Alsharif Abuadbba, Dhiah Al‐Shammary, & Ibrahim Khalil. (2023). ECG compression technique using fast fractals in the Internet of medical things. Concurrency and Computation Practice and Experience. 35(23). 1 indexed citations
9.
Ahmed, Khandakar, et al.. (2023). Early detection of depression using a conversational AI bot: A non-clinical trial. PLoS ONE. 18(2). e0279743–e0279743. 32 indexed citations
10.
Al‐Shammary, Dhiah, et al.. (2023). Hilbert Convex Similarity for Highly Secure Random Distribution of Patient Privacy Steganography. IEEE Access. 11. 115816–115826.
11.
Al‐Shammary, Dhiah, et al.. (2021). Light network high performance discrete cosine transform for digital images. Visual Informatics. 5(2). 41–50. 2 indexed citations
12.
Ibaida, Ayman, Alsharif Abuadbba, & Naveen Chilamkurti. (2020). Privacy-preserving compression model for efficient IoMT ECG sharing. Computer Communications. 166. 1–8. 20 indexed citations
13.
Forkan, Abdur Rahim Mohammad, Ibrahim Khalil, Ayman Ibaida, & Zahir Tari. (2015). BDCaM: Big Data for Context-Aware Monitoring—A Personalized Knowledge Discovery Framework for Assisted Healthcare. IEEE Transactions on Cloud Computing. 5(4). 628–641. 86 indexed citations
14.
Ibaida, Ayman, Dhiah Al‐Shammary, & Ibrahim Khalil. (2013). Cloud enabled fractal based ECG compression in wireless body sensor networks. Future Generation Computer Systems. 35. 91–101. 27 indexed citations
15.
Ibaida, Ayman & Ibrahim Khalil. (2013). Wavelet-Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Systems. IEEE Transactions on Biomedical Engineering. 60(12). 3322–3330. 121 indexed citations
16.
Khalil, Ibrahim, et al.. (2013). Steganography-based access control to medical data hidden in electrocardiogram. PubMed. 154. 1302–1305. 8 indexed citations
17.
Ibaida, Ayman, Ibrahim Khalil, & Ron van Schyndel. (2011). A low complexity high capacity ECG signal watermark for wearable sensor-net health monitoring system. Victoria University Research Repository (Victoria University). 393–396. 38 indexed citations
18.
Ibaida, Ayman, Ibrahim Khalil, & Dhiah Al‐Shammary. (2010). Embedding patients confidential data in ECG signal for healthcare information systems. PubMed. 2010. 3891–3894. 34 indexed citations
19.
20.
Ibaida, Ayman, Ibrahim Khalil, & Fahim Sufi. (2009). Cardiac abnormalities detection from compressed ECG in wireless telemonitoring using principal components analysis (PCA). Victoria University Research Repository (Victoria University). 54. 207–212. 19 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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