Khamael Al-Dulaimi

619 total citations
22 papers, 327 citations indexed

About

Khamael Al-Dulaimi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Khamael Al-Dulaimi has authored 22 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in Khamael Al-Dulaimi's work include Digital Imaging for Blood Diseases (12 papers), Image Processing Techniques and Applications (10 papers) and AI in cancer detection (7 papers). Khamael Al-Dulaimi is often cited by papers focused on Digital Imaging for Blood Diseases (12 papers), Image Processing Techniques and Applications (10 papers) and AI in cancer detection (7 papers). Khamael Al-Dulaimi collaborates with scholars based in Australia, Iraq and Malaysia. Khamael Al-Dulaimi's co-authors include Jasmine Banks, Vinod Chandran, Inmaculada Tomeo-Reyes, Kien Nguyen, Aiman Al-Sabaawi, Nor Azman Ismail, Md Sah Hj Salam, Saeed Ali Bahaj, Ibrahim Abunadi and Amjad Rehman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Khamael Al-Dulaimi

20 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khamael Al-Dulaimi Australia 11 206 150 86 72 71 22 327
Lorenzo Putzu Italy 13 525 2.5× 284 1.9× 115 1.3× 103 1.4× 147 2.1× 28 590
Roopa B. Hegde India 8 332 1.6× 215 1.4× 63 0.7× 65 0.9× 84 1.2× 17 416
Harishchandra Hebbar India 7 336 1.6× 213 1.4× 62 0.7× 66 0.9× 84 1.2× 13 390
Md. Aiub Hossain Bangladesh 4 293 1.4× 128 0.9× 95 1.1× 59 0.8× 58 0.8× 6 391
Sarmad Shafique Pakistan 5 291 1.4× 202 1.3× 56 0.7× 31 0.4× 50 0.7× 9 339
Asok Kumar Maiti India 8 206 1.0× 165 1.1× 62 0.7× 66 0.9× 71 1.0× 10 350
G. Gopakumar India 9 157 0.8× 77 0.5× 46 0.5× 46 0.6× 57 0.8× 32 290
Madhumala Ghosh India 10 347 1.7× 131 0.9× 90 1.0× 128 1.8× 118 1.7× 14 411
Priyadarshini Adyasha Pattanaik India 8 151 0.7× 91 0.6× 48 0.6× 31 0.4× 22 0.3× 20 282
B. Rajesh Kanna India 6 198 1.0× 49 0.3× 53 0.6× 50 0.7× 39 0.5× 20 240

Countries citing papers authored by Khamael Al-Dulaimi

Since Specialization
Citations

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

Fields of papers citing papers by Khamael Al-Dulaimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khamael Al-Dulaimi. 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 Khamael Al-Dulaimi. The network helps show where Khamael Al-Dulaimi may publish in the future.

Co-authorship network of co-authors of Khamael Al-Dulaimi

This figure shows the co-authorship network connecting the top 25 collaborators of Khamael Al-Dulaimi. A scholar is included among the top collaborators of Khamael Al-Dulaimi 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 Khamael Al-Dulaimi. Khamael Al-Dulaimi 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-Dulaimi, Khamael, et al.. (2025). R-UNET: Improving performance of rumex detection using unet based selective regions. INTELIGENCIA ARTIFICIAL. 28(75). 186–198.
2.
3.
Alzubaidi, Laith, Khamael Al-Dulaimi, Mohammed A. Fadhel, et al.. (2024). MEFF – A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging. Intelligent Systems with Applications. 22. 200355–200355. 11 indexed citations
4.
Al-Dulaimi, Khamael, Jasmine Banks, Aiman Al-Sabaawi, et al.. (2023). Classification of HEp-2 Staining Pattern Images Using Adapted Multilayer Perceptron Neural Network-Based Intra-Class Variation of Cell Shape. Sensors. 23(4). 2195–2195. 2 indexed citations
5.
Al-Dulaimi, Khamael, et al.. (2023). Blood Cell Microscopic Image Classification in Computer Aided Diagnosis Using Machine Learning: A Review. SHILAP Revista de lepidopterología. 43–55. 8 indexed citations
6.
Ismail, Nor Azman, et al.. (2023). Adaptive Non-Maximum Suppression for improving performance of Rumex detection. Expert Systems with Applications. 219. 119634–119634. 10 indexed citations
7.
Al-Dulaimi, Khamael, et al.. (2023). Rumex Weed Classification Using Region-Convolution Neural Networks Based-Colour Space Information. INTELIGENCIA ARTIFICIAL. 26(72). 244–255. 1 indexed citations
8.
Ismail, Nor Azman, et al.. (2022). Hybrid CNN Model for Classification of Rumex Obtusifolius in Grassland. IEEE Access. 10. 90940–90957. 17 indexed citations
9.
10.
Ismail, Nor Azman, et al.. (2022). Classification of weed using machine learning techniques: a review—challenges, current and future potential techniques. Journal of Plant Diseases and Protection. 129(4). 745–768. 37 indexed citations
11.
12.
Al-Dulaimi, Khamael, et al.. (2020). Segmentation of White Blood Cell, Nucleus and Cytoplasm in Digital Haematology Microscope Images: A Review–Challenges, Current and Future Potential Techniques. IEEE Reviews in Biomedical Engineering. 14. 290–306. 49 indexed citations
13.
14.
Al-Dulaimi, Khamael, Inmaculada Tomeo-Reyes, Jasmine Banks, & Vinod Chandran. (2019). Evaluation and benchmarking of level set-based three forces via geometric active contours for segmentation of white blood cell nuclei shape. Computers in Biology and Medicine. 116. 103568–103568. 23 indexed citations
15.
Al-Dulaimi, Khamael, Vinod Chandran, Kien Nguyen, Jasmine Banks, & Inmaculada Tomeo-Reyes. (2019). Benchmarking HEp-2 specimen cells classification using linear discriminant analysis on higher order spectra features of cell shape. Pattern Recognition Letters. 125. 534–541. 28 indexed citations
16.
Al-Dulaimi, Khamael, Jasmine Banks, Vinod Chandran, Inmaculada Tomeo-Reyes, & Kien Nguyen. (2018). Classification of white blood cell types from microscope images:Techniques and challenges. QUT ePrints (Queensland University of Technology). 46 indexed citations
17.
Al-Dulaimi, Khamael, Kien Nguyen, Jasmine Banks, Vinod Chandran, & Inmaculada Tomeo-Reyes. (2018). Classification of White Blood Cells Using L-Moments Invariant Features of Nuclei Shape. 26. 1–6. 13 indexed citations
18.
Al-Dulaimi, Khamael, Inmaculada Tomeo-Reyes, Jasmine Banks, & Vinod Chandran. (2016). White Blood Cell Nuclei Segmentation Using Level Set Methods and Geometric Active Contours. 1–7. 29 indexed citations
19.
Al-Dulaimi, Khamael, Jasmine Banks, Inmaculada Tomeo-Reyes, & Vinod Chandran. (2016). Automatic segmentation of HEp-2 cell Fluorescence microscope images using level set method via geometric active contours. QUT ePrints (Queensland University of Technology). 1. 81–83. 10 indexed citations
20.
Al-Dulaimi, Khamael. (2011). Handwritten Signature Verification Technique based on Extract Features. 30(2). 42–46. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lorenzo Putzu Breakdown of academic impact, for papers by Roopa B. Hegde Breakdown of academic impact, for papers by Harishchandra Hebbar Breakdown of academic impact, for papers by Md. Aiub Hossain Breakdown of academic impact, for papers by Sarmad Shafique Breakdown of academic impact, for papers by Asok Kumar Maiti Breakdown of academic impact, for papers by G. Gopakumar Breakdown of academic impact, for papers by Madhumala Ghosh Breakdown of academic impact, for papers by Priyadarshini Adyasha Pattanaik Breakdown of academic impact, for papers by B. Rajesh Kanna
Rankless by CCL
2026