Haidar Almubarak

698 total citations
16 papers, 490 citations indexed

About

Haidar Almubarak is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Ocean Engineering. According to data from OpenAlex, Haidar Almubarak has authored 16 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Ocean Engineering. Recurrent topics in Haidar Almubarak's work include AI in cancer detection (5 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers) and Cervical Cancer and HPV Research (4 papers). Haidar Almubarak is often cited by papers focused on AI in cancer detection (5 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers) and Cervical Cancer and HPV Research (4 papers). Haidar Almubarak collaborates with scholars based in Saudi Arabia, United States and Iraq. Haidar Almubarak's co-authors include William V. Stoecker, Naif Alajlan, Yakoub Bazi, Peng Guo, Rosemary E. Zuna, L. Rodney Long, Sameer Antani, R. Joe Stanley, George R. Thoma and Harold Rabinovitz and has published in prestigious journals such as IEEE Access, Applied Sciences and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Haidar Almubarak

15 papers receiving 466 citations

Peers

Countries citing papers authored by Haidar Almubarak

Since Specialization

Citations

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

Fields of papers citing papers by Haidar Almubarak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haidar Almubarak

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Visual Understanding of Rock Wettability Distribution to Contact Angle Regions and Oil Displacement Patterns in the Silty Sand Reservoir via 2D Pore-Scale Modeling 2025 ·(unknown), Waleed Al-Bazzaz, Ralph E. Flori, (unknown), Haidar Almubarak, (unknown), Hasan N. Al-Saedi	0
2	Identifying Wettability Preference of Dolomite Rock Based on Pore/ Grain Contact Angle Using the SEM-BSE Technique 2024 ·(unknown), Waleed Al-Bazzaz, Ralph E. Flori, (unknown), (unknown), Haidar Almubarak	1
3	Faster R-CNN and DenseNet Regression for Glaucoma Detection in Retinal Fundus Images 2020 ·(unknown), Yakoub Bazi, Haidar Almubarak, Naif Alajlan	7
4	Two-Stage Mask-RCNN Approach for Detecting and Segmenting the Optic Nerve Head, Optic Disc, and Optic Cup in Fundus Images 2020 ·Applied Sciences ·Haidar Almubarak, Yakoub Bazi, Naif Alajlan	46
5	Deep Segmentation Architecture with Self Attention for Glaucoma Detection 2020 ·(unknown), Yakoub Bazi, Haidar Almubarak, Naif Alajlan	3
6	Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images 2019 ·IEEE Journal of Biomedical and Health Informatics ·Jason Hagerty, R. Joe Stanley, Haidar Almubarak, (unknown), Reda Kasmi, Peng Guo, Rhett J Drugge, Harold Rabinovitz, Margaret Oliviero, William V. Stoecker	145
7	Intelligent Prediction of Stuck Pipe Remediation Using Machine Learning Algorithms 2019 ·SPE Annual Technical Conference and Exhibition ·Ahmed K. Abbas, Ralph E. Flori, Haidar Almubarak, (unknown), (unknown), (unknown)	24
8	Application of Machine Learning Approach for Intelligent Prediction of Pipe Sticking 2019 ·Ahmed K. Abbas, Haidar Almubarak, (unknown), (unknown)	17
9	A Hybrid Deep Learning and Handcrafted Feature Approach for Cervical Cancer Digital Histology Image Classification 2019 ·International Journal of Healthcare Information Systems and Informatics ·Haidar Almubarak, (unknown), Peng Guo, L. Rodney Long, Sameer Antani, George R. Thoma, Rosemary E. Zuna, (unknown), William V. Stoecker	33
10	Dense Convolutional Networks With Focal Loss and Image Generation for Electrocardiogram Classification 2019 ·IEEE Access ·Mohamad Mahmoud Al Rahhal, Yakoub Bazi, Haidar Almubarak, Naif Alajlan, (unknown)	26
11	Drill Bit Selection Optimization Based on Rate of Penetration: Application of Artificial Neural Networks and Genetic Algorithms 2019 ·Ahmed K. Abbas, (unknown), (unknown), Haidar Almubarak, (unknown)	14
12	Deep Attention Neural Network for Multi-Label Classification in Unmanned Aerial Vehicle Imagery 2019 ·IEEE Access ·(unknown), Yakoub Bazi, Nassim Ammour, Haidar Almubarak, Naif Alajlan	36
13	Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels 2018 ·Journal of Pathology Informatics ·(unknown), (unknown), William V. Stoecker, Haidar Almubarak, L. Rodney Long, Sameer Antani, George R. Thoma, Rosemary E. Zuna, (unknown)	78
14	Convolutional Neural Network Based Localized Classification of Uterine Cervical Cancer Digital Histology Images. 2017 ·Procedia Computer Science ·Haidar Almubarak, R. Joe Stanley, L. Rodney Long, Sameer Antani, George R. Thoma, Rosemary E. Zuna, (unknown)	37
15	Fuzzy Color Clustering for Melanoma Diagnosis in Dermoscopy Images 2017 ·Information ·Haidar Almubarak, R. Joe Stanley, William V. Stoecker, Randy H. Moss	13
16	Enhancements in localized classification for uterine cervical cancer digital histology image assessment 2016 ·Journal of Pathology Informatics ·Peng Guo, Haidar Almubarak, (unknown), R. Joe Stanley, L. Rodney Long, Sameer Antani, (unknown), Rosemary E. Zuna, (unknown), Randy H. Moss, William V. Stoecker	10

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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