Dhafar Hamed

503 total citations
30 papers, 233 citations indexed

About

Dhafar Hamed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Dhafar Hamed has authored 30 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Sociology and Political Science. Recurrent topics in Dhafar Hamed's work include Sentiment Analysis and Opinion Mining (10 papers), Advanced Text Analysis Techniques (7 papers) and Text and Document Classification Technologies (3 papers). Dhafar Hamed is often cited by papers focused on Sentiment Analysis and Opinion Mining (10 papers), Advanced Text Analysis Techniques (7 papers) and Text and Document Classification Technologies (3 papers). Dhafar Hamed collaborates with scholars based in Iraq, United Kingdom and United Arab Emirates. Dhafar Hamed's co-authors include Jwan K. Alwan, Ayad R. Abbas, Mohamed Nazih Omri, Ahmed T. Sadiq, Abir Hussain, Dhiya Al‐Jumeily, Wasiq Khan, Panos Liatsis, Russell Keenan and Paul Fergus and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neural Computing and Applications.

In The Last Decade

Dhafar Hamed

24 papers receiving 223 citations

Peers

Dhafar Hamed
Dhafar Hamed
Citations per year, relative to Dhafar Hamed Dhafar Hamed (= 1×) peers Sheak Rashed Haider Noori

Countries citing papers authored by Dhafar Hamed

Since Specialization
Citations

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

Fields of papers citing papers by Dhafar Hamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhafar Hamed

This figure shows the co-authorship network connecting the top 25 collaborators of Dhafar Hamed. A scholar is included among the top collaborators of Dhafar Hamed 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 Dhafar Hamed. Dhafar Hamed 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.
Hamed, Dhafar, et al.. (2025). Comorbidity diagnosis using machine learning: Fuzzy decision-making approach. Journal of Intelligent Systems. 34(1).
2.
Hussain, Abir, et al.. (2025). Multi-model deep learning approach for the classification of kidney diseases using medical images. Informatics in Medicine Unlocked. 57. 101663–101663. 1 indexed citations
3.
Hamed, Dhafar, et al.. (2025). Diagnosis of rheumatic and autoimmune diseases dataset. Data in Brief. 60. 111623–111623.
4.
Darwish, Saad M., et al.. (2024). An Expert System to Detect Political Arabic Articles Orientation Using CatBoost Classifier Boosted by Multi-Level Features. Computer Systems Science and Engineering. 48(6). 1595–1624. 1 indexed citations
5.
Hamed, Dhafar, et al.. (2024). Machine learning-based opinion extraction approach from movie reviews for sentiment analysis. Multimedia Tools and Applications. 84(17). 18599–18624. 1 indexed citations
6.
Hamed, Dhafar, et al.. (2024). Enhancing Comorbidity Diagnosis with Adversarial Ensemble Learning. 381–386.
8.
Hamed, Dhafar, et al.. (2024). Image dataset of healthy and infected fig leaves with Ficus leaf worm. Data in Brief. 53. 109958–109958. 2 indexed citations
10.
Hamed, Dhafar, et al.. (2023). A survey of sentiment analysis from film critics based on machine learning, lexicon and hybridization. Neural Computing and Applications. 35(13). 9437–9461. 17 indexed citations
12.
Hamed, Dhafar, et al.. (2023). Image dataset of important grape varieties in the commercial and consumer market. Data in Brief. 47. 108906–108906. 2 indexed citations
13.
Hamed, Dhafar, et al.. (2023). Feature Selection for Binary Dataset using Dragonfly Algorithm. 480–485. 1 indexed citations
14.
Alenezi, Fayadh, et al.. (2023). Camel Detection and Monitoring Using Image Processing and IoT. 305–308. 1 indexed citations
15.
Alwan, Jwan K., et al.. (2021). Political Arabic Articles Orientation Using Rough Set Theory With Sentiment Lexicon. IEEE Access. 9. 24475–24484. 18 indexed citations
16.
Alwan, Jwan K., et al.. (2020). The effect of gamma value on support vector machine performance with different kernels. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 10(5). 5497–5497. 47 indexed citations
17.
Hamed, Dhafar, et al.. (2020). Political Arabic Articles Classification Based on Machine Learning and Hybrid Vector. 1–7. 15 indexed citations
18.
Khalaf, Mohammed, Abir Hussain, Robert Keight, et al.. (2017). Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. 232–237. 17 indexed citations
19.
Hamed, Dhafar, et al.. (2017). Monitoring System for Sickle Cell Disease Patients by Using Supervised Machine Learning. 119–124. 9 indexed citations
20.
Hamed, Dhafar, et al.. (2016). A Robust Approach for Mixed Technique of Data Encryption Between DES and RC4 Algorithm. SHILAP Revista de lepidopterología. 3(2). 48–54. 2 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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