Dathar Abas Hasan

480 total citations
23 papers, 309 citations indexed

About

Dathar Abas Hasan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Dathar Abas Hasan has authored 23 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Networks and Communications. Recurrent topics in Dathar Abas Hasan's work include COVID-19 diagnosis using AI (6 papers), Digital Imaging for Blood Diseases (4 papers) and IoT and Edge/Fog Computing (4 papers). Dathar Abas Hasan is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), Digital Imaging for Blood Diseases (4 papers) and IoT and Edge/Fog Computing (4 papers). Dathar Abas Hasan collaborates with scholars based in Iraq, Malaysia and Oman. Dathar Abas Hasan's co-authors include Adnan Mohsin Abdulazeez, Subhi R. M. Zeebaree, Mohammed A. M. Sadeeq, Rizgar R. Zebari, Diyar Qader Zeebaree, Karzan Hussein Sharif, Karwan Jacksi, Hanan M. Shukur, Zryan Najat Rashid and Ahmed Alkhayyat and has published in prestigious journals such as SHILAP Revista de lepidopterología, International journal of scientific and technology research and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Dathar Abas Hasan

23 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dathar Abas Hasan Iraq 11 83 71 67 57 48 23 309
T. Jaya India 9 39 0.5× 69 1.0× 61 0.9× 52 0.9× 65 1.4× 54 261
G. Charlyn Pushpa Latha India 9 36 0.4× 66 0.9× 46 0.7× 62 1.1× 33 0.7× 20 243
Rahul Neware India 10 81 1.0× 27 0.4× 66 1.0× 39 0.7× 87 1.8× 29 234
Osama R. Shahin Saudi Arabia 11 37 0.4× 54 0.8× 87 1.3× 36 0.6× 35 0.7× 31 270
Murtaza Ali Khan Saudi Arabia 9 62 0.7× 31 0.4× 68 1.0× 99 1.7× 75 1.6× 22 334
Faris Kateb Saudi Arabia 11 31 0.4× 33 0.5× 99 1.5× 60 1.1× 18 0.4× 35 303
Muhammad Shahbaz Khan United Kingdom 8 15 0.2× 54 0.8× 90 1.3× 92 1.6× 25 0.5× 40 300
Carmelo Pino Italy 11 35 0.4× 21 0.3× 48 0.7× 77 1.4× 30 0.6× 45 259
M. M. El-Gayar Egypt 7 20 0.2× 24 0.3× 63 0.9× 69 1.2× 16 0.3× 18 198

Countries citing papers authored by Dathar Abas Hasan

Since Specialization
Citations

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

Fields of papers citing papers by Dathar Abas Hasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dathar Abas Hasan. 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 Dathar Abas Hasan. The network helps show where Dathar Abas Hasan may publish in the future.

Co-authorship network of co-authors of Dathar Abas Hasan

This figure shows the co-authorship network connecting the top 25 collaborators of Dathar Abas Hasan. A scholar is included among the top collaborators of Dathar Abas Hasan 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 Dathar Abas Hasan. Dathar Abas Hasan 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.
Hasan, Dathar Abas & Adnan Mohsin Abdulazeez. (2024). Lung Segmentation from Chest X-Ray Images Using Deeplabv3plus-Based CNN Model. Indonesian Journal of Computer Science. 13(1). 8 indexed citations
2.
Hasan, Dathar Abas & Subhi R. M. Zeebaree. (2024). Proactive Fault Tolerance in Distributed Cloud Systems: A Review of Predictive and Preventive Techniques. Indonesian Journal of Computer Science. 13(2). 1 indexed citations
3.
Hasan, Dathar Abas, et al.. (2023). Semantic Lung Segmentation from Chest X-Ray Images Using Seg-Net Deep CNN Model. SHILAP Revista de lepidopterología. 13(2). 2 indexed citations
4.
Abdulazeez, Adnan Mohsin, et al.. (2021). Data Integration Using Data Mining and SMS Reminder for Automation of Blood Donation. 299–304. 3 indexed citations
5.
Hasan, Dathar Abas, et al.. (2021). Segmenting and Classifiying the Brain Tumor from MRI Medical Images Based on Machine Learning Algorithms: A Review. Asian Journal of Research in Computer Science. 50–61. 8 indexed citations
6.
Abdulazeez, Adnan Mohsin, et al.. (2021). Predicting Weather Forecasting State Based on Data Mining Classification Algorithms. Asian Journal of Research in Computer Science. 13–24. 11 indexed citations
7.
Salih, Azar Abid, et al.. (2021). A Comprehensive Study of Caching Effects on Fog Computing Performance. Asian Journal of Research in Computer Science. 1–18. 2 indexed citations
8.
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
9.
Hasan, Dathar Abas, Subhi R. M. Zeebaree, Mohammed A. M. Sadeeq, et al.. (2021). Machine Learning-based Diabetic Retinopathy Early Detection and Classification Systems- A Survey. 16–21. 38 indexed citations
10.
Abdulazeez, Adnan Mohsin, et al.. (2021). Medical Images Breast Cancer Segmentation Based on K-Means Clustering Algorithm: A Review. Asian Journal of Research in Computer Science. 23–38. 13 indexed citations
11.
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
12.
Zeebaree, Subhi R. M., et al.. (2021). A Survey of Optical Fiber Communications: Challenges and Processing Time Influences. Asian Journal of Research in Computer Science. 48–58. 51 indexed citations
13.
Abdulazeez, Adnan Mohsin, et al.. (2021). Comparative Study for Classification Algorithms Performance in Crop Yields Prediction Systems. SHILAP Revista de lepidopterología. 1(2). 119–124. 4 indexed citations
14.
Hasan, Dathar Abas, et al.. (2021). The Impact of Test Case Generation Methods on the Software Performance: A Review. Zenodo (CERN European Organization for Nuclear Research). 5(6). 33–44. 21 indexed citations
15.
Zeebaree, Diyar Qader, et al.. (2021). Machine Learning Semi-Supervised Algorithms for Gene Selection: A Review. 165–170. 5 indexed citations
16.
Abdulazeez, Adnan Mohsin, et al.. (2021). Detection of Diabetic Retinopathy Based on Convolutional Neural Networks: A Review. Asian Journal of Research in Computer Science. 1–15. 5 indexed citations
17.
Hasan, Dathar Abas, et al.. (2020). Designing ECG Monitoring Healthcare System Based on Internet of Things Blynk Application. 1(2). 106–111. 17 indexed citations
18.
Zeebaree, Subhi R. M., et al.. (2020). COVID-19 Diagnosis Systems Based on Deep Convolutional Neural Networks Techniques: A Review. 4. 184–189. 6 indexed citations
19.
Hasan, Dathar Abas & Adnan Mohsin Abdulazeez. (2020). A Modified Convolutional Neural Networks Model for Medical Image Segmentation. 83. 16798–16808. 21 indexed citations
20.
Zeebaree, Subhi R. M., Rizgar R. Zebari, Karwan Jacksi, & Dathar Abas Hasan. (2019). Security Approaches For Integrated Enterprise Systems Performance: A Review. International journal of scientific and technology research. 8(12). 2485–2489. 31 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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