Dheyaa Ahmed Ibrahim

2.0k total citations
37 papers, 1.4k citations indexed

About

Dheyaa Ahmed Ibrahim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dheyaa Ahmed Ibrahim has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dheyaa Ahmed Ibrahim's work include Face recognition and analysis (6 papers), Brain Tumor Detection and Classification (6 papers) and AI in cancer detection (6 papers). Dheyaa Ahmed Ibrahim is often cited by papers focused on Face recognition and analysis (6 papers), Brain Tumor Detection and Classification (6 papers) and AI in cancer detection (6 papers). Dheyaa Ahmed Ibrahim collaborates with scholars based in Iraq, Malaysia and India. Dheyaa Ahmed Ibrahim's co-authors include Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Salama A. Mostafa, Raed Ibraheem Hamed, N. Arunkumar, Dilovan Asaad Zebari, Victor Hugo C. de Albuquerque, Karrar Hameed Abdulkareem, Belal Al‐Khateeb and Mohd Sharifuddin Ahmad and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Applied Sciences.

In The Last Decade

Dheyaa Ahmed Ibrahim

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dheyaa Ahmed Ibrahim Iraq 21 577 502 316 283 229 37 1.4k
Malika Bendechache Ireland 23 551 1.0× 739 1.5× 411 1.3× 521 1.8× 166 0.7× 79 1.8k
Diyar Qader Zeebaree Iraq 14 646 1.1× 360 0.7× 308 1.0× 125 0.4× 113 0.5× 25 1.3k
Mashael Maashi Saudi Arabia 24 674 1.2× 239 0.5× 420 1.3× 70 0.2× 342 1.5× 96 1.7k
Toqeer Mahmood Pakistan 24 384 0.7× 1.1k 2.1× 171 0.5× 221 0.8× 83 0.4× 66 1.6k
Dilovan Asaad Zebari Iraq 21 588 1.0× 310 0.6× 335 1.1× 166 0.6× 152 0.7× 54 1.2k
Mahmoud Badawy Egypt 23 656 1.1× 380 0.8× 277 0.9× 336 1.2× 457 2.0× 78 1.8k
Denis A. Pustokhin Russia 19 362 0.6× 287 0.6× 115 0.4× 77 0.3× 328 1.4× 55 1.2k
Asif Karim Australia 24 910 1.6× 282 0.6× 536 1.7× 234 0.8× 286 1.2× 81 2.1k
Hela Elmannai Saudi Arabia 22 546 0.9× 266 0.5× 190 0.6× 79 0.3× 383 1.7× 104 1.6k
Arpit Jain India 22 263 0.5× 315 0.6× 177 0.6× 83 0.3× 341 1.5× 100 1.4k

Countries citing papers authored by Dheyaa Ahmed Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Dheyaa Ahmed Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Dheyaa Ahmed Ibrahim. A scholar is included among the top collaborators of Dheyaa Ahmed Ibrahim 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 Dheyaa Ahmed Ibrahim. Dheyaa Ahmed Ibrahim 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.
Saeed, Jwan Najeeb, Adnan Mohsin Abdulazeez, & Dheyaa Ahmed Ibrahim. (2023). An Ensemble DCNNs-Based Regression Model for Automatic Facial Beauty Prediction and Analyzation. Traitement du signal. 40(1). 55–63. 17 indexed citations
2.
Saeed, Jwan Najeeb, Adnan Mohsin Abdulazeez, & Dheyaa Ahmed Ibrahim. (2023). Automatic Facial Aesthetic Prediction Based on Deep Learning with Loss Ensembles. Applied Sciences. 13(17). 9728–9728. 10 indexed citations
3.
Saeed, Jwan Najeeb, Adnan Mohsin Abdulazeez, & Dheyaa Ahmed Ibrahim. (2022). 2D Facial Images Attractiveness Assessment Based on Transfer Learning of Deep Convolutional Neural Networks. 13–18. 8 indexed citations
4.
Zebari, Dilovan Asaad, Dheyaa Ahmed Ibrahim, & Adel Al-Zebari. (2022). Suspicious Region Segmentation Using Deep Features in Breast Cancer Mammogram Images. 253–258. 7 indexed citations
5.
Ibrahim, Dheyaa Ahmed, et al.. (2022). Effective hybrid deep learning model forCOVID‐19 patterns identification usingCTimages. Expert Systems. 39(10). e13010–e13010. 29 indexed citations
6.
Mohammed, Mazin Abed, et al.. (2021). Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language. Journal of Intelligent Systems. 30(1). 774–792. 25 indexed citations
7.
Lakhan, Abdullah, Mazin Abed Mohammed, Dheyaa Ahmed Ibrahim, & Karrar Hameed Abdulkareem. (2021). Bio-inspired robotics enabled schemes in blockchain-fog-cloud assisted IoMT environment. Journal of King Saud University - Computer and Information Sciences. 35(1). 1–12. 33 indexed citations
8.
9.
Zebari, Dilovan Asaad, Dheyaa Ahmed Ibrahim, Diyar Qader Zeebaree, et al.. (2021). Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Feature Fusion. Applied Sciences. 11(24). 12122–12122. 77 indexed citations
10.
Ibrahim, Dheyaa Ahmed, et al.. (2021). Facial Expression Recognition Using Aggregated Handcrafted Descriptors based Appearance Method. 29. 177–182. 6 indexed citations
11.
Abdulkareem, Karrar Hameed, Mazin Abed Mohammed, Saraswathy Shamini Gunasekaran, et al.. (2019). A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues. IEEE Access. 7. 153123–153140. 151 indexed citations
12.
Mohammed, Mazin Abed, Mohd Khanapi Abd Ghani, Omar Ibrahim Obaid, et al.. (2019). A Review of Genetic Algorithm Applications in Solving Vehicle Routing Problem. Journal of Engineering and Applied Sciences. 14(12). 4267–4283. 6 indexed citations
13.
Mohammed, Mazin Abed, et al.. (2019). Designing and Implementing an Arabic Programming Language for Teaching Pupils. Journal of Southwest Jiaotong University. 54(3). 3 indexed citations
14.
Mohammed, Mazin Abed, Belal Al‐Khateeb, Ahmed Noori Rashid, et al.. (2018). Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images. Computers & Electrical Engineering. 70. 871–882. 147 indexed citations
15.
Mohammed, Mazin Abed, Mohd Khanapi Abd Ghani, N. Arunkumar, et al.. (2018). Genetic case-based reasoning for improved mobile phone faults diagnosis. Computers & Electrical Engineering. 71. 212–222. 47 indexed citations
16.
Abdulhay, Enas, Mazin Abed Mohammed, Dheyaa Ahmed Ibrahim, N. Arunkumar, & V. Venkatraman. (2018). Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images. Journal of Medical Systems. 42(4). 58–58. 48 indexed citations
17.
Mohammed, Mazin Abed, Mohd Khanapi Abd Ghani, Raed Ibraheem Hamed, & Dheyaa Ahmed Ibrahim. (2017). Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature. Journal of Computational Science. 21. 283–298. 44 indexed citations
18.
Ibrahim, Dheyaa Ahmed, et al.. (2017). Using trainable segmentation and watershed transform for identifying unilocular and multilocular cysts from ultrasound images of ovarian tumour. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10221. 102210B–102210B. 2 indexed citations
19.
Mohammed, Mazin Abed, Mohd Khanapi Abd Ghani, Raed Ibraheem Hamed, Dheyaa Ahmed Ibrahim, & Mohamad Khir Abdullah. (2017). Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma. Journal of Computational Science. 21. 263–274. 49 indexed citations
20.
Mohammed, Mazin Abed, Mohd Khanapi Abd Ghani, Raed Ibraheem Hamed, & Dheyaa Ahmed Ibrahim. (2017). Analysis of an electronic methods for nasopharyngeal carcinoma: Prevalence, diagnosis, challenges and technologies. Journal of Computational Science. 21. 241–254. 30 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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