Ibrahim Abdulrab Ahmed

919 total citations · 1 hit paper
34 papers, 547 citations indexed

About

Ibrahim Abdulrab Ahmed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ibrahim Abdulrab Ahmed has authored 34 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ibrahim Abdulrab Ahmed's work include AI in cancer detection (8 papers), Digital Imaging for Blood Diseases (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Ibrahim Abdulrab Ahmed is often cited by papers focused on AI in cancer detection (8 papers), Digital Imaging for Blood Diseases (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Ibrahim Abdulrab Ahmed collaborates with scholars based in Saudi Arabia, Yemen and Malaysia. Ibrahim Abdulrab Ahmed's co-authors include Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi, Ebrahim Mohammed Senan, Taha H. Rassem, Khaled M. Alalayah, Mohammed A. H. Ali, Hany F. Atlam, Ahmed M. A. Haidar, M.W. Mustafa and Mohd Shahizan Othman and has published in prestigious journals such as PLoS ONE, Applied Soft Computing and Electronics.

In The Last Decade

Ibrahim Abdulrab Ahmed

32 papers receiving 510 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.

Eye Tracking-Based Diagnosis and Early Detection of Autism Spectrum Disorder Using Machine Learning and Deep Learning Techniques

2022 122 citations Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ibrahim Abdulrab Ahmed Saudi Arabia	13	210	140	116	90	53	34	547
Mukti E. Jadhav India	11	256 1.2×	146 1.0×	59 0.5×	132 1.5×	18 0.3×	26	653
Buket D. Barkana United States	17	362 1.7×	118 0.8×	58 0.5×	211 2.3×	40 0.8×	69	860
Agung W. Setiawan Indonesia	12	104 0.5×	201 1.4×	20 0.2×	176 2.0×	26 0.5×	99	561
Pratheepan Yogarajah United Kingdom	12	148 0.7×	82 0.6×	47 0.4×	260 2.9×	9 0.2×	48	534
Giovanni Paragliola Italy	12	238 1.1×	60 0.4×	65 0.6×	67 0.7×	33 0.6×	35	520
Pedro Martins Portugal	11	165 0.8×	129 0.9×	114 1.0×	139 1.5×	17 0.3×	80	601
Hiroharu Kawanaka Japan	13	211 1.0×	117 0.8×	53 0.5×	219 2.4×	52 1.0×	115	601
Peng Cao China	16	348 1.7×	222 1.6×	198 1.7×	160 1.8×	54 1.0×	37	774
M. Monica Subashini India	12	201 1.0×	140 1.0×	154 1.3×	387 4.3×	63 1.2×	60	865
Mohamed Attia Australia	11	206 1.0×	40 0.3×	45 0.4×	96 1.1×	20 0.4×	32	626

Countries citing papers authored by Ibrahim Abdulrab Ahmed

Since Specialization

Citations

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

Fields of papers citing papers by Ibrahim Abdulrab Ahmed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim Abdulrab Ahmed. 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 Ibrahim Abdulrab Ahmed. The network helps show where Ibrahim Abdulrab Ahmed may publish in the future.

Co-authorship network of co-authors of Ibrahim Abdulrab Ahmed

This figure shows the co-authorship network connecting the top 25 collaborators of Ibrahim Abdulrab Ahmed. A scholar is included among the top collaborators of Ibrahim Abdulrab Ahmed 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 Ibrahim Abdulrab Ahmed. Ibrahim Abdulrab Ahmed 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

Senan, Ebrahim Mohammed, et al.. (2024). Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models. PLoS ONE. 19(3). e0298305–e0298305. 5 indexed citations

Senan, Ebrahim Mohammed, et al.. (2023). AI Techniques of Dermoscopy Image Analysis for the Early Detection of Skin Lesions Based on Combined CNN Features. Diagnostics. 13(7). 1314–1314. 54 indexed citations

Alalayah, Khaled M., Fatma S. Alrayes, Jaber S. Alzahrani, et al.. (2023). Optimal Deep Learning Based Intruder Identification in Industrial Internet of Things Environment. Computer Systems Science and Engineering. 46(3). 3121–3139. 8 indexed citations

Ahmed, Ibrahim Abdulrab, et al.. (2023). Multi-Techniques for Analyzing X-ray Images for Early Detection and Differentiation of Pneumonia and Tuberculosis Based on Hybrid Features. Diagnostics. 13(4). 814–814. 21 indexed citations

Alalayah, Khaled M., Fatma S. Alrayes, Mohamed K. Nour, et al.. (2023). Learning-Based Artificial Algae Algorithm with Optimal Machine Learning Enabled Malware Detection. Computer Systems Science and Engineering. 46(3). 3103–3119.

Alalayah, Khaled M., Ebrahim Mohammed Senan, Hany F. Atlam, Ibrahim Abdulrab Ahmed, & Hamzeh Salameh Ahmad Shatnawi. (2023). Automatic and Early Detection of Parkinson’s Disease by Analyzing Acoustic Signals Using Classification Algorithms Based on Recursive Feature Elimination Method. Diagnostics. 13(11). 1924–1924. 49 indexed citations

Senan, Ebrahim Mohammed, et al.. (2023). Analyzing Histological Images Using Hybrid Techniques for Early Detection of Multi-Class Breast Cancer Based on Fusion Features of CNN and Handcrafted. Diagnostics. 13(10). 1753–1753. 14 indexed citations

Ahmed, Ibrahim Abdulrab, Ebrahim Mohammed Senan, & Hamzeh Salameh Ahmad Shatnawi. (2023). Analysis of Histopathological Images for Early Diagnosis of Oral Squamous Cell Carcinoma by Hybrid Systems Based on CNN Fusion Features. International Journal of Intelligent Systems. 2023(1). 14 indexed citations

Ahmed, Ibrahim Abdulrab, Ebrahim Mohammed Senan, & Hamzeh Salameh Ahmad Shatnawi. (2023). Hybrid Models for Endoscopy Image Analysis for Early Detection of Gastrointestinal Diseases Based on Fused Features. Diagnostics. 13(10). 1758–1758. 6 indexed citations

10.

Senan, Ebrahim Mohammed, et al.. (2023). Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features. Bioengineering. 10(3). 383–383. 38 indexed citations

11.

Senan, Ebrahim Mohammed, et al.. (2023). Blood Slide Image Analysis to Classify WBC Types for Prediction Haematology Based on a Hybrid Model of CNN and Handcrafted Features. Diagnostics. 13(11). 1899–1899. 7 indexed citations

12.

Senan, Ebrahim Mohammed, et al.. (2023). Hybrid Methods for Fundus Image Analysis for Diagnosis of Diabetic Retinopathy Development Stages Based on Fusion Features. Diagnostics. 13(17). 2783–2783. 6 indexed citations

13.

Ahmed, Ibrahim Abdulrab, et al.. (2023). Multi-Models of Analyzing Dermoscopy Images for Early Detection of Multi-Class Skin Lesions Based on Fused Features. Processes. 11(3). 910–910. 12 indexed citations

14.

Alalayah, Khaled M., Ebrahim Mohammed Senan, Hany F. Atlam, Ibrahim Abdulrab Ahmed, & Hamzeh Salameh Ahmad Shatnawi. (2023). Effective Early Detection of Epileptic Seizures through EEG Signals Using Classification Algorithms Based on t-Distributed Stochastic Neighbor Embedding and K-Means. Diagnostics. 13(11). 1957–1957. 27 indexed citations

15.

Senan, Ebrahim Mohammed, et al.. (2023). Multi-Method Diagnosis of Histopathological Images for Early Detection of Breast Cancer Based on Hybrid and Deep Learning. Mathematics. 11(6). 1429–1429. 21 indexed citations

16.

Nour, Mohamed K., et al.. (2023). Automated Spam Review Detection Using Hybrid Deep Learning on Arabic Opinions. Computer Systems Science and Engineering. 46(3). 2947–2961. 1 indexed citations

17.

Ahmed, Ibrahim Abdulrab, et al.. (2021). Solving the Transshipment Problem with Fuzzy Cost Coefficients. International Journal Of Scientific Advances. 2(3).

18.

Haidar, Ahmed M. A., et al.. (2011). Transient stability evaluation of electrical power system using generalized regression neural networks. Applied Soft Computing. 11(4). 3558–3570. 47 indexed citations

19.

Haidar, Ahmed M. A., et al.. (2010). An Intelligent Approach for Cost Minimization of Power Generation. 5(2). 52–55. 1 indexed citations

20.

Haidar, Ahmed M. A., Ibrahim Abdulrab Ahmed, & Ahmed N. Abdalla. (2010). Neural Network Prediction of Electromagnetic Field Strength in Hybrid Micro-Grid System. 5(2). 62–66. 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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