Diyar Qader Zeebaree

787 total citations
23 papers, 508 citations indexed

About

Diyar Qader Zeebaree is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Diyar Qader Zeebaree has authored 23 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Diyar Qader Zeebaree's work include AI in cancer detection (5 papers), Artificial Intelligence in Healthcare (4 papers) and Imbalanced Data Classification Techniques (3 papers). Diyar Qader Zeebaree is often cited by papers focused on AI in cancer detection (5 papers), Artificial Intelligence in Healthcare (4 papers) and Imbalanced Data Classification Techniques (3 papers). Diyar Qader Zeebaree collaborates with scholars based in Iraq, Malaysia and China. Diyar Qader Zeebaree's co-authors include Dilovan Asaad Zebari, Adnan Mohsin Abdulazeez, Adnan Mohsin Abdulazeez, Subhi R. M. Zeebaree, Rizgar R. Zebari, Hanan M. Shukur, Omar M. Ahmed, Azar Abid Salih, Jwan Najeeb Saeed and Rytis Maskeliūnas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Heliyon.

In The Last Decade

Diyar Qader Zeebaree

23 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diyar Qader Zeebaree Iraq 14 224 122 108 108 89 23 508
Pinki Roy India 17 412 1.8× 114 0.9× 190 1.8× 192 1.8× 115 1.3× 43 756
Ahmed Noori Rashid Iraq 7 144 0.6× 122 1.0× 95 0.9× 61 0.6× 68 0.8× 26 359
B. Surendiran India 13 307 1.4× 147 1.2× 114 1.1× 71 0.7× 117 1.3× 54 540
Khalid Alissa Saudi Arabia 14 203 0.9× 174 1.4× 118 1.1× 48 0.4× 58 0.7× 41 500
Saima Anwar Lashari Malaysia 10 135 0.6× 108 0.9× 66 0.6× 32 0.3× 76 0.9× 42 407
Rajit Nair India 10 100 0.4× 68 0.6× 56 0.5× 97 0.9× 69 0.8× 39 372
Sahalu B. Junaidu Nigeria 11 187 0.8× 104 0.9× 87 0.8× 59 0.5× 47 0.5× 39 380
Mohammad Ahsan Chishti India 15 147 0.7× 287 2.4× 154 1.4× 53 0.5× 82 0.9× 59 565
S. Punitha India 11 321 1.4× 41 0.3× 41 0.4× 146 1.4× 103 1.2× 42 494
Prateek Agrawal India 12 280 1.3× 72 0.6× 211 2.0× 62 0.6× 163 1.8× 67 621

Countries citing papers authored by Diyar Qader Zeebaree

Since Specialization
Citations

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

Fields of papers citing papers by Diyar Qader Zeebaree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diyar Qader Zeebaree. 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 Diyar Qader Zeebaree. The network helps show where Diyar Qader Zeebaree may publish in the future.

Co-authorship network of co-authors of Diyar Qader Zeebaree

This figure shows the co-authorship network connecting the top 25 collaborators of Diyar Qader Zeebaree. A scholar is included among the top collaborators of Diyar Qader Zeebaree 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 Diyar Qader Zeebaree. Diyar Qader Zeebaree 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.
Khishe, Mohammad, et al.. (2024). Adaptive habitat biogeography-based optimizer for optimizing deep CNN hyperparameters in image classification. Heliyon. 10(7). e28147–e28147. 10 indexed citations
2.
Zeebaree, Diyar Qader, et al.. (2023). Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization algorithm. Biomedical Signal Processing and Control. 87. 105492–105492. 34 indexed citations
3.
Abdulazeez, Adnan Mohsin, et al.. (2022). An Attention-Based Deep Regional Learning Model for Enhanced Finger Vein Identification. Traitement du signal. 39(6). 1991–2002. 3 indexed citations
4.
Abdulazeez, Adnan Mohsin, et al.. (2022). A YOLO and convolutional neural network for the detection and classification of leukocytes in leukemia. Indonesian Journal of Electrical Engineering and Computer Science. 25(1). 200–200. 31 indexed citations
5.
Abdulazeez, Adnan Mohsin, et al.. (2021). Data Integration Using Data Mining and SMS Reminder for Automation of Blood Donation. 299–304. 3 indexed citations
6.
Abdulazeez, Adnan Mohsin, et al.. (2021). A New Hybrid Method for Global Optimization Based on the Bird Mating Optimizer and the Differential Evolution. 54–60. 11 indexed citations
7.
Zebari, Dilovan Asaad, et al.. (2021). Significant features for steganography techniques using deoxyribonucleic acid: a review. Indonesian Journal of Electrical Engineering and Computer Science. 21(1). 338–338. 14 indexed citations
8.
Abdulazeez, Adnan Mohsin, et al.. (2021). Robust watermarking scheme based LWT and SVD using artificial bee colony optimization. Indonesian Journal of Electrical Engineering and Computer Science. 21(2). 1218–1218. 26 indexed citations
9.
Ahmed, Dindar Mikaeel, et al.. (2021). Predicting University's Students Performance Based on Machine Learning Techniques. 276–281. 25 indexed citations
10.
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
11.
Abdulazeez, Adnan Mohsin, et al.. (2021). COVID-19 World Vaccination Progress Using Machine Learning Classification Algorithms. SHILAP Revista de lepidopterología. 1(2). 100–105. 24 indexed citations
12.
Zeebaree, Diyar Qader, et al.. (2021). The Prediction Process Based on Deep Recurrent Neural Networks: A Review. Asian Journal of Research in Computer Science. 29–45. 10 indexed citations
13.
Abdulazeez, Adnan Mohsin, et al.. (2021). The Impact of Different Data Mining Classification Techniques in Different Datasets. 5 indexed citations
14.
Abdulazeez, Adnan Mohsin, et al.. (2021). An Integrated Gapso Approach for Solving Problem of an Examination Timetabiking System. 12. 1–6. 4 indexed citations
15.
Abdulazeez, Adnan Mohsin, et al.. (2021). Customer Churn Prediction in Telecommunications Industry Based on Data Mining. 1–6. 10 indexed citations
16.
Abdulazeez, Adnan Mohsin, et al.. (2021). Mobile Ad Hoc Network in Disaster Area Network Scenario: A Review on Routing Protocols. International Journal of Online and Biomedical Engineering (iJOE). 17(3). 49–75. 27 indexed citations
17.
Zeebaree, Diyar Qader, et al.. (2020). A Review on Region of Interest Segmentation Based on Clustering Techniques for Breast Cancer Ultrasound Images. 1(3). 78–91. 13 indexed citations
18.
Abdulazeez, Adnan Mohsin, et al.. (2020). Comparison of VPN Protocols at Network Layer Focusing on Wire Guard Protocol. International Journal of Interactive Mobile Technologies (iJIM). 14(18). 157–157. 21 indexed citations
19.
Abdulazeez, Adnan Mohsin, et al.. (2020). Management of Wireless Communication Systems Using Artificial Intelligence-Based Software Defined Radio. International Journal of Interactive Mobile Technologies (iJIM). 14(13). 107–107. 31 indexed citations
20.
Shukur, Hanan M., Subhi R. M. Zeebaree, Rizgar R. Zebari, et al.. (2020). Cloud Computing Virtualization of Resources Allocation for Distributed Systems. 1(2). 98–105. 91 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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