Ayman AbuBaker

494 total citations
21 papers, 370 citations indexed

About

Ayman AbuBaker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ayman AbuBaker has authored 21 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ayman AbuBaker's work include AI in cancer detection (7 papers), Image and Signal Denoising Methods (5 papers) and Medical Image Segmentation Techniques (4 papers). Ayman AbuBaker is often cited by papers focused on AI in cancer detection (7 papers), Image and Signal Denoising Methods (5 papers) and Medical Image Segmentation Techniques (4 papers). Ayman AbuBaker collaborates with scholars based in Jordan, Canada and United Kingdom. Ayman AbuBaker's co-authors include Rami Qahwaji, S. Ipson, Mumtaz Ali, Guy A. Rouleau, Janet Laganière, Musbah J. Aqel, Bernard Brais, Rébecca Gaudet, Patrick A. Dion and Nawwaf Kharma and has published in prestigious journals such as Human Molecular Genetics, Cell Death and Disease and IET Image Processing.

In The Last Decade

Ayman AbuBaker

20 papers receiving 347 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 AbuBaker Jordan 10 130 121 80 79 49 21 370
Viktoria Korzhova Germany 6 58 0.4× 316 2.6× 66 0.8× 94 1.2× 38 0.8× 9 569
Ilya Eckstein United States 7 55 0.4× 146 1.2× 118 1.5× 93 1.2× 39 0.8× 9 573
Matteo Santoro Italy 14 92 0.7× 101 0.8× 71 0.9× 64 0.8× 27 0.6× 29 512
Jiwon Kim South Korea 10 61 0.5× 64 0.5× 26 0.3× 62 0.8× 20 0.4× 44 559
Payman Yadollahpour United States 5 168 1.3× 329 2.7× 106 1.3× 162 2.1× 209 4.3× 6 778
Xiaofei Du China 19 434 3.3× 291 2.4× 48 0.6× 257 3.3× 43 0.9× 57 1.1k
Kaijie Wu China 12 41 0.3× 99 0.8× 59 0.7× 87 1.1× 33 0.7× 57 365
Tian Ma China 12 71 0.5× 67 0.6× 23 0.3× 40 0.5× 149 3.0× 44 569
Henry Joutsijoki Finland 11 151 1.2× 40 0.3× 62 0.8× 46 0.6× 22 0.4× 40 367
Jie Ni China 12 99 0.8× 168 1.4× 131 1.6× 57 0.7× 10 0.2× 35 471

Countries citing papers authored by Ayman AbuBaker

Since Specialization
Citations

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

Fields of papers citing papers by Ayman AbuBaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayman AbuBaker

This figure shows the co-authorship network connecting the top 25 collaborators of Ayman AbuBaker. A scholar is included among the top collaborators of Ayman AbuBaker 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 AbuBaker. Ayman AbuBaker 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.
AbuBaker, Ayman & Yazeed Yasin Ghadi. (2023). Optimization of fuzzy rules using neural network to control mobile robot in non-structured environment. Bulletin of Electrical Engineering and Informatics. 12(5). 2777–2783. 1 indexed citations
2.
AbuBaker, Ayman, et al.. (2022). Intelligent computer aided diagnosis system to enhance mass lesions in digitized mammogram images. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 12(3). 2564–2564. 1 indexed citations
3.
AbuBaker, Ayman. (2017). An Adaptive CAD System to Detect Microcalcification in Compressed Mammogram Images. International Journal of Advanced Computer Science and Applications. 8(6). 2 indexed citations
4.
AbuBaker, Ayman, et al.. (2016). Comparison Study of Different Lossy Compression Techniques Applied on Digital Mammogram Images. International Journal of Advanced Computer Science and Applications. 7(12). 6 indexed citations
5.
AbuBaker, Ayman, et al.. (2014). EEG Mouse:A Machine Learning-Based Brain Computer Interface. International Journal of Advanced Computer Science and Applications. 5(4). 48 indexed citations
6.
AbuBaker, Ayman. (2014). Automatic Microcalcification Detection Using Wavelet Transform. International Journal of Computer Theory and Engineering. 7(1). 40–45. 5 indexed citations
7.
AbuBaker, Ayman, Janet Laganière, Rébecca Gaudet, et al.. (2013). Lithium chloride attenuates cell death in oculopharyngeal muscular dystrophy by perturbing Wnt/β-catenin pathway. Cell Death and Disease. 4(10). e821–e821. 39 indexed citations
8.
AbuBaker, Ayman & Ali Mehdi. (2012). Estimating the Position, Number and Length of Forehead Wrinkles Using Neural Network. Research Journal of Applied Sciences Engineering and Technology. 4(15). 2584–2589.
9.
AbuBaker, Ayman. (2012). A Novel Mobile Robot Navigation System Using Neuro-Fuzzy Rule-Based Optimization Technique. Research Journal of Applied Sciences Engineering and Technology. 4(15). 2577–2583. 17 indexed citations
10.
AbuBaker, Ayman. (2012). Neuro-Fuzzy Approach to Microcalcification Contrast Enhancement in Digitized Mammogram Images. 4(5). 61–75. 1 indexed citations
11.
AbuBaker, Ayman. (2012). Mass Lesion Detection Using Wavelet Decomposition Transform and Support Vector Machine. International Journal of Computer Science and Information Technology. 4(2). 33–46. 10 indexed citations
12.
AbuBaker, Ayman, et al.. (2010). Neural Network Based Algorithm of Soft Fault Diagnosis in Analog Electronic Circuits. 3 indexed citations
13.
AbuBaker, Ayman, et al.. (2008). Efficient Technique to Detect the Region of Interests in Mammogram Images. Journal of Computer Science. 4(8). 652–662. 5 indexed citations
14.
AbuBaker, Ayman, et al.. (2007). Mammogram Image Size Reduction Using 16-8 Bit Conversion Technique. Zenodo (CERN European Organization for Nuclear Research). 1(3). 175–182. 12 indexed citations
15.
Kharma, Nawwaf, et al.. (2007). Automatic segmentation of cells from microscopic imagery using ellipse detection. IET Image Processing. 1(1). 39–47. 37 indexed citations
16.
AbuBaker, Ayman, Rami Qahwaji, & S. Ipson. (2007). Texture-Based Feature Extraction for the Microcalcification from Digital Mammogram Images. 896–899. 3 indexed citations
17.
AbuBaker, Ayman, et al.. (2007). One Scan Connected Component Labeling Technique. 1283–1286. 46 indexed citations
18.
AbuBaker, Ayman, et al.. (2007). Efficient Pre-processing of USF and MIAS Mammogram Images. Journal of Computer Science. 3(2). 67–75. 16 indexed citations
19.
AbuBaker, Ayman, et al.. (2005). Average Row Thresholding Method for Mammogram Segmentation. PubMed. 2005. 3288–3291. 9 indexed citations
20.
AbuBaker, Ayman. (2003). Involvement of the ubiquitin-proteasome pathway and molecular chaperones in oculopharyngeal muscular dystrophy. Human Molecular Genetics. 12(20). 2609–2623. 98 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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