A. M. Mutawa

762 total citations
39 papers, 410 citations indexed

About

A. M. Mutawa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, A. M. Mutawa has authored 39 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in A. M. Mutawa's work include Retinal Imaging and Analysis (6 papers), Online and Blended Learning (5 papers) and Emotion and Mood Recognition (4 papers). A. M. Mutawa is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Online and Blended Learning (5 papers) and Emotion and Mood Recognition (4 papers). A. M. Mutawa collaborates with scholars based in Kuwait, India and Germany. A. M. Mutawa's co-authors include M. Murugappan, Hassan Abbas Khan, A. S. Tolba, Sachin Singh, K. Saravanan, Ammar Rayes, Hamed Alazemi, S. Jerritta, Abdulaziz Al-Shaibani and Afaq Ahmad and has published in prestigious journals such as PLoS ONE, IEEE Access and Applied Sciences.

In The Last Decade

A. M. Mutawa

33 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. M. Mutawa Kuwait	10	146	98	96	57	42	39	410
Hamed Monkaresi Australia	7	139 1.0×	67 0.7×	141 1.5×	78 1.4×	18 0.4×	12	446
T. S. Ashwin India	12	107 0.7×	138 1.4×	78 0.8×	129 2.3×	18 0.4×	38	484
Matteo Ciman Italy	14	80 0.5×	88 0.9×	67 0.7×	38 0.7×	10 0.2×	20	449
Norliza Zaini Malaysia	11	37 0.3×	69 0.7×	127 1.3×	33 0.6×	26 0.6×	50	397
Omar AlZoubi Jordan	8	102 0.7×	25 0.3×	132 1.4×	82 1.4×	16 0.4×	34	300
Min Peng China	11	156 1.1×	253 2.6×	29 0.3×	119 2.1×	21 0.5×	29	455
Martin Magdin Slovakia	10	43 0.3×	42 0.4×	46 0.5×	52 0.9×	6 0.1×	42	300
Michał Podpora Poland	11	24 0.2×	76 0.8×	116 1.2×	107 1.9×	15 0.4×	52	420
Ibrahiem M. M. El Emary Saudi Arabia	10	112 0.8×	81 0.8×	19 0.2×	118 2.1×	7 0.2×	34	397

Countries citing papers authored by A. M. Mutawa

Since Specialization

Citations

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

Fields of papers citing papers by A. M. Mutawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. M. Mutawa. 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 A. M. Mutawa. The network helps show where A. M. Mutawa may publish in the future.

Co-authorship network of co-authors of A. M. Mutawa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mutawa, A. M., et al.. (2025). Using artificial intelligence to predict the next deceptive movement based on video sequence analysis: A case study on a professional cricket player's movements. Journal of Engineering Research. 13(4). 3176–3190.

Mutawa, A. M., G. R. Hemalakshmi, N. B. Prakash, & M. Murugappan. (2025). Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection. IEEE Access. 13. 38901–38913. 2 indexed citations

Mutawa, A. M., et al.. (2025). Explainable AI for Diabetic Retinopathy: Utilizing YOLO Model on a Novel Dataset. AI. 6(12). 301–301.

Mutawa, A. M.. (2025). Attention-Based Hybrid Deep Learning Models for Classifying COVID-19 Genome Sequences. AI. 6(1). 4–4. 3 indexed citations

Mutawa, A. M., et al.. (2025). Bio-Inspired Optimization of Transfer Learning Models for Diabetic Macular Edema Classification. AI. 6(10). 269–269.

Mutawa, A. M., et al.. (2025). Determining the meter of classical Arabic poetry using deep learning: a performance analysis. Frontiers in Artificial Intelligence. 8. 1523336–1523336. 1 indexed citations

Mutawa, A. M., et al.. (2024). Machine Learning Approach for Arabic Handwritten Recognition. Applied Sciences. 14(19). 9020–9020. 2 indexed citations

Mutawa, A. M., et al.. (2024). A Deep Learning Model for Detecting Diabetic Retinopathy Stages with Discrete Wavelet Transform. Applied Sciences. 14(11). 4428–4428. 8 indexed citations

Mutawa, A. M., et al.. (2023). Transfer Learning for Diabetic Retinopathy Detection: A Study of Dataset Combination and Model Performance. Applied Sciences. 13(9). 5685–5685. 19 indexed citations

10.

Mutawa, A. M.. (2023). An end-to-end Tacotron model versus pre trained Tacotron model for Arabic text-to-speech synthesis. Journal of Engineering Research. 13(1). 384–389.

11.

Mutawa, A. M., et al.. (2023). The Effectiveness of Using H5P for Undergraduate Students in the Asynchronous Distance Learning Environment. Applied Sciences. 13(8). 4983–4983. 11 indexed citations

12.

Mutawa, A. M., et al.. (2023). Augmenting Mobile App with NAO Robot for Autism Education. Machines. 11(8). 833–833. 10 indexed citations

13.

Mutawa, A. M., et al.. (2023). An Invitation Model Protocol (IMP) for the Bitcoin Asymmetric Lightning Network. Symmetry. 15(6). 1273–1273. 1 indexed citations

14.

Mutawa, A. M., et al.. (2023). Enhancing Human–Computer Interaction in Online Education: A Machine Learning Approach to Predicting Student Emotion and Satisfaction. International Journal of Human-Computer Interaction. 40(24). 8827–8843. 17 indexed citations

15.

Mutawa, A. M., et al.. (2022). Diabetic Retinopathy Classification using Vision Transformer. 25–30. 3 indexed citations

16.

Mutawa, A. M., et al.. (2020). Development of a Real-Time Emotion Recognition System Using Facial Expressions and EEG based on machine learning and deep neural network methods. Informatics in Medicine Unlocked. 20. 100372–100372. 176 indexed citations

17.

Mutawa, A. M., et al.. (2019). Multilayered rule-based expert system for diagnosing uveitis. Artificial Intelligence in Medicine. 99. 101691–101691. 22 indexed citations

18.

Mutawa, A. M.. (2017). EVALUATION OF BLENDED LEARNING IN HIGHER EDUCATION: A CASE STUDY. PEOPLE International Journal of Social Sciences. 3(1). 881–889. 5 indexed citations

19.

Tolba, A. S., et al.. (2010). Defect detection in flat surface products using log-Gabor filters. International Journal of Hybrid Intelligent Systems. 7(3). 187–201. 11 indexed citations

20.

Tolba, A. S., et al.. (2010). Decision Fusion for Visual Inspection of Textiles. Textile Research Journal. 80(19). 2094–2106. 9 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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